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Computer Scientist - II (Services + ML), Adobe
Adobe is looking for a Computer Scientist - II (Services + ML) for its Bengaluru office. This full-time role is part of the Firefly GenAI services team, focused on enabling and accelerating Adobe GenAI creative flows powered by advanced machine learning models. Candidates will work across design, architecture, development, and deployment phases. They will also collaborate with research and product teams to deliver scalable AI services.Location: Bengaluru, Karnataka, IndiaJob ID: R162715Apply: Click HerePrimary ResponsibilitiesTake responsibility for all engineering work which starts with project specifications and architectural design and proceeds through development and testing and ends with system deployment.Create technical specifications and prototypes and presentations to share their ideas with others.Solve production problems while creating solutions that stop future incidents from happening again.Expertise in new industry technologies and trends which they use to drive product development.Create either complete products or specific elements of extensive product developments.Essential Qualifications for this PositionEducation:B.Tech / M.Tech in Computer Science from a premier institute.Experience:6–8 plus years of experience in software development.Must demonstrate strong knowledge of computer science principles through their expertise in algorithm design and data structure usage and performance enhancement methods.Demonstrates extensive expertise about cloud-native applications.Skills & Knowledge:Demonstrate full proficiency in Python, PyTorch, FastAPI and Distributed Services design.Have knowledge of Redis, MongoDB, Dynamo, Cosmos, Kafka, SQS and S3.Experience with AWS or Azure, Docker, Jenkins and Splunk.Should have MLOps experience and knowledge about CI/CD procedures.Creates code which meets standards for reliability and maintenance and security and performance.Soft Skills:Dedicated work quality while showing determination to achieve goals without compromise.Exceptional abilities in both communication and problem resolution.Experience in collaborating with research teams and product development teams.Bonus Qualifications:Exposure to generative AI models in vision, audio, or text-to-image domains, including large language models.About AdobeAdobe provides digital experience solutions to customers all over the world while enabling them to create and deliver high-quality digital content. Adobe develops AI and data analytics and digital design technologies through its commitment to innovation and creativity and diversity.
Gold Price Today: MCX Gold Tops Rs. 1.66 Lakh, Silver Surges Over 3% Amid US-Israel’s Attack on Iran
Gold prices rallied sharply on Monday, tracking strength in global bullion markets as geopolitical tensions in the Middle East intensified. Escalating conflict between the US, Israel and Iran has heightened economic uncertainty, prompting investors to shift toward safe-haven assets.On the Multi Commodity Exchange (MCX) gold for April delivery rose 2.86% to Rs. 1,66,741 per 10 grams compared to its previous close of Rs. 1,62,104. Silver futures for May delivery also increased 3.71% to Rs. 2,93,152. Domestic Gold PricesThe price of 24K gold decreased by Rs. 329 in early trade, with ten grams of the precious metal trading at Rs. 1,69,800. The price of 22K gold also declined by Rs. 300, with ten grams of the yellow metal selling at Rs. 1,55,650. The price of ten grams of 24K gold stood at Rs. 1,69,800 in Mumbai and Kolkata and Rs. 1,70,840 in Chennai. In Delhi, the price of ten grams of 24K gold stood at Rs. 1,69,950.International Market TrendsIn the global market, spot gold advanced 1% to $5,329.39 per ounce after touching a four-week high. The US gold futures rose 1.8% to $5,342.80 per ounce. Silver prices jumped as much as 2.8% to $96.4 per ounce before trimming some gains.The renewed surge in bullion prices comes as military developments in the Middle East continue to fuel concerns about disruptions to the supply chain, potential instability in the energy market, and broader and more intense macroeconomic risks.Sustained Bullish MomentumGold has now logged its seventh consecutive monthly gain, marking the longest winning streak since 1973. The ongoing rally builds on a 64% surge recorded in 2025.Analysts attribute this performance to persistent central bank purchases, strong inflows into gold-backed exchange-traded funds (ETFs), and expectations of monetary policy easing in the United States.The shift away from sovereign bonds and major global currencies has further strengthened gold’s appeal as a portfolio hedge.Also Read: Will Gold Lose Its Safe Haven Crown? A Closer Look at the 2025-2026 VolatilityGold and Silver OutlookAnalysts suggest MCX gold for April futures could test the Rs. 1,64,000 level in the near term, while Rs. 1,60,000 is expected to act as a strong support floor on declines.For silver, prices are likely to stay elevated, with Rs. 2,84,000 per kilogram identified as an immediate resistance zone. Continued geopolitical tensions and global uncertainty may keep precious metals supported in the short term.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp
Stock Market Update: Nifty, Sensex Set for Weak Open on March 2 Amid Escalating Middle East Tensions
Indian markets are likely to open Monday’s session on a weak note amid intensifying geopolitical tensions in the Middle East. Early cues from GIFT Nifty suggest a gap-down start with index trading near 25,230, around 127.5 points below previous Nifty futures close.Heightened volatility follows the reported escalation between the US, Israel and Iran which rattled global risk sentiment. Friday Recap: Sharp Sell-OffSensex declined 961.42 points to close at 81,287.19, while Nifty 50 dropped 317.90 points to settle at 25,178.65.India VIX rose nearly 5% to 13.50 and it signals a pickup in volatility expectations. Derivative positioning and technical indicators suggest traders are preparing for further swings.Sensex OutlookSensex has tested the 81,200-81,000 range, which is now its primary support level. A sustained break below this band could open the door toward 80,500 and 80,000.The resistance level is at 82,000 and ends at 82,500 while stronger selling pressure will develop near the 83,000 mark. The analysts observe that major stocks provide structural stability while the current market sentiment remains unstable amid global uncertainties.Nifty 50 OutlookNifty 50 has formed a large bearish candle on the daily chart, reflecting decisive selling pressure. Notably, the index has slipped below its 200-day moving average at 25,350 which now becomes immediate resistance.The weekly chart shows a 1.54% decline accompanied by lower highs and lower lows and it is an indication of weakening momentum. Key support levels are at 25,000 followed by 24,800. A break below the psychological 25,000 level may accelerate downside toward 24,700.The MACD has signaled a bearish crossover while the RSI continues to drift lower. It is suggesting limited buying strength. Resistance levels are clustered at 25,400-25,500 and failure to sustain above these zones may attract selling.Also Read: Which Is the Best Stock Market App in India in 2026? Top Picks RevealedBank Nifty OutlookBank Nifty closed at 60,529, down 658.70 points or 1.08% and has formed a short-term double-top pattern. Immediate support lies in the 60,300-60,250 range while a decisive break below 60,000 could push index toward 59,500.On the upside resistance is seen at 60,700-60,900 with stronger supply near 61,000-61,500. The index has slipped below its 21-day EMA and it reflects fading bullish momentum.
Top PyTorch Courses for Learning in 2026
OverviewPyTorch courses focus strongly on real-world Deep Learning projects and production skills.Transformer models and NLP training are now core parts of most advanced programs.Hardware optimization and deployment knowledge are becoming essential for AI careers.PyTorch remains one of the most popular deep learning frameworks. It is widely used in research labs, startups, and large tech companies. The framework continues to grow because of strong community support, frequent updates, and better hardware integration. Recent industry reports show that major cloud providers are working closely with AI companies to improve PyTorch performance on different hardware systems, including GPUs and TPUs. This shift is shaping how modern courses teach model training and deployment.Let’s take a look at the best PyTorch courses and the learning and academic material that they have to offer.1. PyTorch Professional Certificate (Coursera – DeepLearning.AI)This professional certificate program is made for people who want a clear and organized learning path. It teaches important topics like tensors, neural networks, training models, improving performance, and deploying models in real projects. The course includes coding practice and graded assignments.Many employers prefer structured programs because they offer trusted certificates. Many AI job listings now ask for PyTorch skills. This program also includes final projects that feel like real industry work, such as building image classifiers and NLP models.Best for: Beginners and intermediate learners who want step-by-step guidance and a recognized certificate.2. Practical Deep Learning for Coders (fast.ai)The fast.ai course is easy to follow and very practical. It teaches how to build real AI models quickly. It does not spend too much time on difficult math. The main tool used in the course is PyTorch.The updated lessons now teach diffusion models, transformers, and generative AI. These topics are important as many companies are using artificial intelligence to create content and improve automation.The course is free and based on real projects. Students start training real models early, which helps them gain confidence and useful skills.Best for: People who like learning by doing and want to see fast results.Also Read - NumPy vs. PyTorch: What’s Best for Your Numerical Computation Needs?3. Transformer-Focused PyTorch Courses (Udacity)Transformer models power many AI systems today, including large language models and advanced vision systems. Udacity offers specialized courses that focus on building and fine-tuning transformer networks using PyTorch.The 2025–2026 updates emphasize production-level training. Lessons include model efficiency, transfer learning, and deployment to cloud platforms. 4. Official PyTorch TutorialsThe official PyTorch documentation remains one of the best learning resources. Tutorials range from beginner basics to advanced distributed training. These materials are updated with every major PyTorch release. Since companies are working to improve hardware compatibility, official guides often reflect these changes first.Best for: Learners who want up-to-date technical details directly from the source.Also Read - How to Build a Language Model with PyTorch?Key Trends in PyTorch Learning (2026)Hardware flexibilityRecent industry news highlights collaboration between major cloud companies and AI organizations to improve PyTorch support across GPUs and TPUs. This reduces dependency on a single hardware vendor and increases performance options.From research to productionModern programs teach more than just model building. They include deployment, optimization, monitoring, and scaling. Employers expect engineers to move models from notebooks to real systems.Final ThoughtsPicking the right PyTorch course depends on career goals. Certificate programs give step-by-step lessons and a recognized proof of learning. Practical courses help build confidence through real projects. Advanced transformer classes prepare learners for high-demand AI jobs. Official tutorials help learners stay up-to-date on new features.With strong support from the tech industry, improved hardware, and rapid growth in generative AI, PyTorch is expected to stay as an important skill for the future.You May Also Like:Top Pandas Courses and Certifications for Python in 2026Best Interactive Python Courses: Your Weekend Learning GuideTop Python Courses for Data Science EnthusiastsFAQs1. Are PyTorch courses suitable for beginners?Yes, many programs start with basic tensor operations and gradually move to advanced Deep Learning models.2. Do PyTorch courses cover NLP in 2026?Most updated courses include NLP topics such as transformers, text classification, and language models.3. Is certification important for AI jobs?Certificates can improve credibility, especially when applying to AI companies, but strong project work matters more.4. Are production and deployment skills taught?Yes, modern courses now include model serving, optimization, and cloud deployment practices.5. How long does it take to learn PyTorch properly?With consistent study and practice, core skills can be developed in three to six months.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp
Top ETFs in India for 2026: Smart Investment Guide
OverviewStrong performers like CPSE ETF and Bharat 22 ETF delivered over 30% 1-year returns with low expense ratios.Commodity ETFs such as Nippon India Silver ETF and Gold BeES offered very high gains but showed higher volatility.Low-cost index ETFs like UTI Nifty 50 ETF and SBI Nifty 50 ETF provide stable exposure close to benchmark returns.Exchange-traded funds, known as ETFs, have become one of the most popular ways to invest in India. These funds trade on the stock exchange like shares and allow investors to buy a basket of securities in a single transaction. ETFs usually have low costs, good liquidity, and transparent holdings. Several funds stand out based on market size, returns, volatility, and expense ratio. Let’s take a detailed look at the top ETFs in India and how they have performed.CPSE ETF is one of the largest ETFs in the country with an AUM of Rs. 27,874 crores. The closing price is Rs. 103.27. The one-day return stands at -0.05. Over the last 1 month, the fund delivered 11.04%. In 6 months, returns reached 16.61%. The 1-year return is strong at 32.89%.Volatility compared to Nifty is 1.36, which shows it moves more than the benchmark index. The expense ratio is just 0.07, making it a low-cost option. Strong yearly growth and low charges make this ETF attractive for long-term investors.UTI Nifty 50 ETFUTI Nifty 50 ETF has an AUM of Rs. 68,858.64 crores and a close price of 281.12. The one-day return is -0.00. The 1-month return is 1.38%. Over 6 months, the fund gained 3.37%. The 1-year return stands at 14.44%.Volatility versus Nifty is 0.95, which means it moves almost in line with the index. The expense ratio is only 0.05. This ETF is suitable for those who want steady exposure to India’s top 50 companies at a very low cost.Nippon India Silver ETFNippon India Silver ETF focuses on silver and has a market cap of Rs. 35,413.84 crores. The closing price is Rs. 246.06. The one-day return shows -2.84. The 1-month return is -20.65%, indicating short-term weakness. However, the 6-month return is a massive 119.87%, and the 1-year return is 167.54%.Volatility is high at 4.01 compared to the Nifty. The expense ratio is 0.56. This ETF offers very high return potential but also carries significant risk due to price swings in silver.Also Read - Is Now a Good Time to Buy Gold ETFs?Bharat 22 ETFBharat 22 ETF has an AUM of Rs. 12,839 crores and a closing price of Rs. 128.02. The one-day return is 0.09. In one month, it returned 9.96%. Over 6 months, gains reached 21.31%. The 1-year return stands at 33.37%.Volatility compared to Nifty is 1.16. The expense ratio is 0.07. Strong annual growth and moderate volatility make this ETF a balanced option within the equity space.Nippon India ETF Nifty ITNippon India ETF Nifty IT has a market cap of Rs. 3,347 crores and a close price of Rs. 33.75. The one-day return is 0.06. The 1-month return is -20.31%. In 6 months, returns are -14.03%. The 1-year return shows -19.66%.Volatility is 1.77, which is higher than the Nifty. The expense ratio is 0.22. This ETF tracks the IT sector and reflects recent weakness in technology stocks. It may suit investors expecting a recovery in the IT industry.UTI BSE Sensex ETFUTI BSE Sensex ETF has an AUM of Rs. 53,598 crores and a close price of Rs. 905.81. The one-day return is -0.17. The 1-month return is 0.42%. In 6 months, the fund gained 1.97%. The 1-year return stands at 11.26%.Volatility versus Nifty is 0.93, showing stable movement. The expense ratio is 0.05. This ETF mirrors the Sensex and is suitable for conservative equity exposure.Nippon India ETF Nifty Bank BeESNippon India ETF Nifty Bank BeES has a market cap of Rs. 7,984 crores and a close price of Rs. 623. The one-day return is 0.14. Over 1 month, it gained 4.29%. The 6-month return is 11.95%. The 1-year return is 26.08%.Volatility is 0.96 compared to Nifty. The expense ratio is 0.19. This ETF focuses on banking stocks and has shown solid performance over the past year.Also Read - Sovereign Gold Bonds or Gold ETFs: Best Investment Choice in 2026Nippon India ETF Gold BeESNippon India ETF Gold BeES has a market cap of Rs. 58,453 crores and a close price of Rs. 131. The one-day return is -0.92. The 1-month return is -0.24%. Over 6 months, returns reached 55.65%. The 1-year return is 81.52%.Volatility is 2.24, and the expense ratio is 0.80. Gold ETFs provide protection during uncertain times and act as a hedge against market risk.Kotak Nifty Bank ETFKotak Nifty Bank ETF has an AUM of 6,342 crores and a close price of Rs. 62. The one-day return is 0.16. The 1-month return is 4.25%. The 6-month return is 12.15%. The 1-year return stands at 26.07%.Volatility is 1.04 versus Nifty. The expense ratio is 0.15. This ETF also tracks banking stocks and offers steady sector exposure.SBI Nifty 50 ETFSBI Nifty 50 ETF has a market cap of Rs. 2,14,288 crores and a close price of Rs. 270. The one-day return is -0.03. The 1-month return is 1.55%. The 6-month return is 3.33%. The 1-year return stands at 14.24%.Volatility is 0.97, close to the Nifty benchmark. The expense ratio is only 0.04, making it one of the lowest-cost ETFs available.Final ThoughtsThe Indian fund market offers choices across equity, banking, IT, gold, and silver. Equity ETFs like CPSE ETF and Bharat 22 ETF have delivered strong yearly growth. Banking ETFs have shown stable gains. Gold and silver ETFs have given very high returns but come with higher volatility.Low expense ratios remain a key advantage of ETFs. Selection depends on risk level, sector preference, and long-term goals. A balanced mix across equity and commodity funds can help create a diversified investment portfolio.You May Also Like:Top S&P 500 ETF Picks for Investing $5,000 in Early 2026Best and Worst New ETFs of 2025: Top Picks and DudsTop Indian ETFs for 2025: Diversify Smartly with These PicksFAQs1. What are ETFs and how do they work?ETFs are funds traded on the stock exchange that track an index, sector, or commodity and can be bought or sold like shares.2. Which ETF gave the highest 1-year return among the top 10?Nippon India Silver ETF delivered the highest 1-year return at 167.54 % .3. Which ETF has the lowest expense ratio?SBI Nifty 50 ETF has one of the lowest expense ratios at 0.04, making it very cost effective.4. Are gold and silver ETFs risky?Gold and silver ETFs can be more volatile than equity ETFs, as shown by higher volatility ratios.5. Are banking ETFs a good option for 2026?Banking ETFs like Nippon India ETF Nifty Bank BeES and Kotak Nifty Bank ETF showed strong 1-year returns above 26 %, making them solid sector choices.
Barclays Warns Brent Could Hit $100 After US-Israel Strikes on Iran
Barclays has warned that Brent crude could reach $100 a barrel after the US. and Israeli strikes on Iran, as energy traders prepare for a volatile market open and assess the risk of prolonged disruption in the Strait of Hormuz.Brent crude oil closed near $72.48 per barrel on Friday, after gaining about 20% this year. By Sunday, over-the-counter trading pointed to a sharp jump toward $80 a barrel. The move reflected rising concern that military escalation could disrupt supply routes across the Gulf and tighten global oil availability in the short term.Oil Markets Price in Disruption Risk After Iran StrikesThe key concern for traders is not only the military action itself, but also the effect on physical oil flows. Market participants are watching whether tankers can move safely through the Strait of Hormuz when full trading resumes. Several shipping and energy firms reportedly paused movements through the route after security warnings increased over the weekend.Barclays said oil markets may face a severe shock if supply disruption continues, and the bank raised the possibility of Brent moving toward $100 per barrel. Other energy analysts also outlined higher price scenarios, although estimates differ based on how long the disruption lasts and whether exports resume quickly.Weekend price indications already showed the market reacting to this risk. A rise toward $80 a barrel before regular futures trading resumes suggests that traders now assign a much higher probability to supply interruptions in the Gulf. That shift in pricing has placed oil at the center of global market attention going into Monday.Strait of Hormuz Remains the Main Pressure PointThe Strait of Hormuz handles more than one-fifth of global oil flows, which makes it the most important variable in the current crisis. The route carries exports from Saudi Arabia, the United Arab Emirates, Iraq, Kuwait, and Iran. Any sustained disruption could reduce available supply and push prices higher across crude, fuels, and related energy products.Energy analysts estimate that even with some rerouting through alternative pipelines, a closure or major restriction in the strait could remove millions of barrels per day from the market. That scale of disruption explains why many forecasts now point to oil prices moving into the $90 to $100 range if the conflict expands or shipping delays continue.The pressure extends beyond oil traders. A prolonged rise in crude prices would increase fuel costs, freight rates, and industrial input costs in many countries, especially major importers. As a result, investors are monitoring shipping updates and regional security developments as closely as they are tracking oil prices.Also Read: US–Israel Strikes: Millions of Iranian App Users Receive Surrender MessagesOPEC+ Output Increase May Soften the ShockOPEC+ agreed to raise output by 206,000 barrels per day from April. The increase may help ease some pressure, but it remains small compared with the potential supply loss from a serious disruption in the Strait of Hormuz. For that reason, the decision may support sentiment without fully capping prices.Saudi Arabia and the UAE have spare capacity, but export logistics still depend on secure shipping routes in the Gulf. Even if producers pump more oil, markets may not see immediate relief if vessels cannot move freely or if insurers raise costs sharply for ships operating in the area.Traders will likely focus on three signals when markets reopen: the status of shipping through Hormuz, the scale of any further military retaliation, and the ability of producers to move additional barrels into the market. Those factors will shape whether Brent crude oil prices stabilize near current levels or move closer to the $100 mark that Barclays has flagged.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp
Polymarket Trader Loses $6.5M After US-Iran Strike Bets Collapse
A Polymarket trader lost about $6.5 million after US and Israeli strikes on Iran triggered a sharp repricing in geopolitical prediction markets, according to blockchain tracking cited by market analysts. The loss drew attention as it reversed a profitable strategy that had worked for weeks and exposed the risk of holding large event-driven positions into a military deadline.Polymarket Loss Follows a Sudden Market Reversal and US-Iran ConflictThe trader, identified publicly by the pseudonym anoin123, had built a position that bet against direct US and Israeli military action on Iran before key market deadlines. That approach had generated more than $2 million in profit over roughly two months, as earlier strike expectations did not materialize.That pattern broke on February 28, when US and Israeli forces launched coordinated strikes in Iran. Once the strikes began, contracts tied to a “no strike” outcome lost value quickly, and the trader’s unrealized and realized gains reversed. Market trackers indicated the move as a one-day loss of about $6.5 million, leaving the account down more than $4.5 million net from its earlier peak.Other Traders Recorded Gains as Strike Odds RoseWhile one large position collapsed, traders on the opposite side of the market recorded gains. Publicly shared blockchain analysis said a user known as Vivaldi007 made about $385,000 after buying contracts tied to a US strike on Iran, even after earlier date-based positions expired at a loss.Analysts also flagged a newly funded wallet, Roeyha2026, which reportedly placed a $50,000 bet around 11 hours before the strikes and then showed a profit near $96,800. Bubblemaps and other market observers said several newly created wallets together generated about $1.2 million from strike-related contracts, which prompted debate about whether some traders acted on unusually timely information. Also Read: Iran Imposes Near-Total Internet Blackout as Protests Escalate and Trump Issues Stark WarningGeopolitical Event Trading Risk Comes into FocusThe trading swing followed a major military escalation. Reporting on February 28 described a joint US-Israeli operation targeting multiple sites in Iran, which changed market probabilities across several Iran-related contracts within hours. That speed matters on prediction markets because contract pricing can move from high confidence to near zero after a single confirmed event.The episode highlights how prediction market participants can earn steady gains from repeated outcomes, then lose them in one event window. In this case, the trader’s strategy aligned with prior weeks of missed strike expectations, but the final deadline produced a different result. As a result, the Polymarket loss now stands as a prominent example of concentrated geopolitical risk in crypto-based event markets. Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp
Bitmine and Strategy Face $15.9B Unrealized Losses on Digital Asset Holdings Amid US-Iran War
Bitmine and Strategy now hold the largest unrealized losses among digital asset treasury (DAT) companies, according to Artemis data released on February 28, 2026. Artemis’ “Unrealized P&L DATs” chart shows Bitmine at about -$8.4 billion and Strategy at about -$7.5 billion, which brings their combined unrealized loss to -$15.9 billion. The figures compare current market value with each company’s average acquisition cost.Bitmine and Strategy dominate unrealized losses in DAT rankingsArtemis ranks DAT firms from the deepest unrealized loss to the strongest unrealized gain over one year. In that ranking, Bitmine appears at the far loss end of the chart. Strategy follows next, with another multi-billion-dollar deficit.The gap between these two firms and the rest of the field stands out clearly. Other companies appear in the same dataset, but none reach similar loss levels. This visual spread shows that the largest paper losses remain concentrated in a small number of treasury-heavy firms.Names such as Twenty One Capital, Bitcoin Standard Treasury, Sharplink Gaming, and Metaplanet appear further along the chart. They also sit in negative territory in the visible snapshot. However, their unrealized losses remain much smaller than the totals recorded for Bitmine and Strategy.What the paper losses mean for balance sheets and investorsUnrealized P&L measures the difference between what a company paid for its digital assets and what those assets are worth now. It does not measure realized loss from a sale. As a result, the current figures reflect valuation pressure rather than cash leaving the business.This distinction matters for companies that use long-term treasury strategies. A firm can maintain its holdings and still report a large mark-to-market drawdown. In that case, the reported deficit remains on the books unless management sells part of the position.Even so, paper losses can affect market behavior. Investors track these figures because they influence balance sheet strength, risk perception, and valuation models. If prices remain weak for an extended period, pressure can increase on financing terms and capital planning.Broader DAT weakness keeps most listed firms below cost basisThe Artemis chart points to a wider pattern across the DAT segment. Most listed companies in the visible snapshot remain below their average cost basis. That suggests many firms accumulated assets at higher market levels and now sit underwater on a mark-to-market basis.This pattern reflects the effect of price declines after buying periods in 2024 and 2025. Companies that expanded treasury positions during stronger market conditions now face lower carrying values at current prices. The result is a broad cluster of negative unrealized P&L across the sector.Also Read: Bitcoin in 2026: Game-Changer or Risky Bet for Late Investors?Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp
AI in Social Media Analytics: Tracking Engagement and Growth Smarter
OverviewAI in social media analytics helps track engagement more quickly and accurately.Artificial intelligence improves growth prediction and campaign planning.AI tools turn large social media data into clear, actionable insights.Artificial intelligence is changing how brands study social media. Every day, millions of posts, comments, photos, and videos are shared online. Regular users cannot read and study such vast amounts of content due to persistent time complexity. AI systems can scan huge amounts of data in seconds. They help companies understand customers and high-growth trends.Recent research shows that the utility of AI tools has become common among social media teams. Analytics and reporting are now some of the main uses of these resources. This shows that artificial intelligence has become part of regular marketing work.Smarter Engagement Tracking AI improves how engagement is measured. Engagement includes likes, shares, comments, saves, clicks, and views. Instead of only counting numbers, AI studies patterns behind these actions. It can detect sudden spikes in activity and send alerts when a post starts going viral. This allows brands to react quickly during product launches or public discussions.Natural language processing helps computers understand text. These systems can read comments and decide whether the tone is positive, negative, or neutral. They can also group similar messages into themes. For example, if many people complain about delivery delays, AI can quickly identify this issue. This saves time and helps businesses respond faster.Image and video analysis add another layer of insight. AI can recognize logos, products, or scenes inside photos and clips. This helps measure how often a brand appears in user content. It also helps track how visual content performs across platforms.Also Read - Predictive Analytics in Digital Marketing: How AI Forecasts Customer BehaviorMarket Growth and InvestmentDetailed studies and datasets demonstrate the growth of AI in social media analytics. One research report valued the global marketing space at about $16.5 billion in 2025. The same research shows signs of major expansions in the coming years. Another research firm expects the market to grow at a high compound annual growth rate as companies want better forecasting tools and clearer return on investment.Businesses are investing heavily in data-driven decision-making. Companies want tools that explain current performance and predict future growth. AI bolsters this ability by analyzing past data and identifying updated patterns.Better Forecasting and Influencer SelectionAI does more than measure engagement. It can also predict results. By studying past data, AI models can estimate how many followers a brand might gain from a campaign. They can forecast reach and engagement based on time, topic, and format. This allows marketers to plan smarter campaigns.Influencer marketing also benefits from AI. Choosing the right influencer is not just about follower count. AI systems analyze audience overlap, user engagement quality, and authenticity indicators. As a result, brands can invest their budgets more wisely and improve conversion rates.Surveys show that many social teams report better performance when AI tools support content decisions. AI-assisted campaigns achieve better performance as they rely on data analysis instead of making random predictions.How AI Tracks Social Media ManagementSpeed is critical in social media. Trends can rise and fall within hours. AI systems monitor conversations in real time. They can detect unusual patterns or sudden negative reactions. This early warning system is especially helpful during crises.For example, if a product problem spreads quickly online, AI tools can highlight the issue before it becomes bigger. A quick response can protect brand reputation. Real-time analysis also helps during major events when online discussions move fast.Challenges and RegulationDespite its benefits, AI in social media analytics also brings risks. Models can show bias if they are trained on limited data. Misclassification of content can lead to wrong decisions. Privacy concerns also remain important as large amounts of user data are analyzed.Regulatory pressure is increasing. In Europe, recent legal action in Spain has focused on platform responsibility for AI-generated content. This shows that governments are watching closely. Companies must follow clear rules and use ethical standards when applying AI tools. Human oversight is still important. Transparency in how data is collected and analyzed builds trust.Also Read - How UAE is Leading Financial Inclusion with AI and Alternative DataThe Future of AI in Social Media AnalyticsAI-powered social media analytics is getting better every year. It uses machine learning, language understanding, and image analysis to give clearer insights. Businesses can measure engagement more accurately, predict growth with greater confidence, and manage their online reputation more effectively.The market is already worth about $16.5 billion in 2025, and it is expected to grow even more. New ideas, careful use, and proper rules will decide how AI tools develop in the future.AI is becoming the main system that helps brands track results, understand data clearly, and grow faster online.You May Also Like: How AI is Used in Digital Marketing Analytics: Tools and Real ExamplesBest AI-Powered Marketing Analytics Tools in 2026 (Free & Paid)AI in Marketing: How Artificial Intelligence is Transforming Digital Marketing in 2026FAQs1. What is AI in Social Media Analytics?It is the use of artificial intelligence to study social media data, track engagement, and measure performance.2. How does AI improve engagement tracking?AI tools analyze likes, comments, shares, and sentiment in real time to find patterns and trends.3. Can AI predict social media growth?Yes, artificial intelligence studies past data to forecast reach, followers, and campaign results.4. Are AI tools expensive for small businesses?Costs vary, but many platforms offer scalable plans that fit small and medium businesses.5. Is AI in Social Media Analytics safe to use?It is safe when companies follow privacy laws, use secure systems, and apply human oversight.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp
US-Israel Strikes Spark Iran Threats While Bitcoin Rebounds to $68K
Donald Trump warned that Iran would face overwhelming military force if it launched new attacks on the United States or Israel. His message came after joint US and Israeli strikes killed Iran’s Supreme Leader Ayatollah Ali Khamenei and pushed the region into a deeper crisis. The warning came as Iran signaled retaliation and regional governments moved to contain security risks after missile and drone attacks spread across several countries.Trump's warning and IRGC threat against US and IsraelTrump said Iran had signaled plans to hit US and Israeli targets very hard. He responded by saying any such move would trigger a force that the world had never seen before. His remarks further heightened tensions, as both sides used public statements to demonstrate resolve amid a fast-moving conflict.The Islamic Revolutionary Guard Corps issued its own warning after Khamenei’s death. It blamed the United States and Israel for the killing and promised severe punishment. The IRGC described the coming response as a ferocious offensive operation and said Iranian forces would continue to defend the country and maintain order.The IRGC threatened military action against US and Israeli interests while also signaling a strict internal security posture.US-Israel strikes deepen the Middle East crisisThe joint strikes triggered a wider regional confrontation within hours. Iran launched retaliatory attacks against Israel and several Gulf states that host US military assets. Reports described explosions in multiple cities and damage to infrastructure. Governments across the region assessed risks to airports, energy facilities, and public services as the crisis widened.The conflict also disrupted civilian life at scale. Flight cancellations spread across the Middle East, and airspace operations were severely disrupted. Officials in Gulf states introduced emergency measures and increased security readiness. These developments showed that the impact extended beyond military targets, reaching transport, education, and daily economic activity.Inside Iran, officials began managing the political fallout from Khamenei’s death. Public reports described a temporary leadership arrangement and a succession process. At the same time, US officials said Trump received pre-strike briefings that outlined high risks, including possible casualties and retaliatory missile attacks on US bases. That background explains why the military operation and the later warning carried immediate regional consequences.Bitcoin rebounds as markets react to Iran shockBitcoin also reflected the fast shift in market sentiment after the strikes and the reported death of Khamenei. The asset fell to about $63,000 on Saturday and then rebounded to around $68,200 in early Sunday trading. It later traded near Friday levels around the upper 67000 range, remaining within a broader three-week range. The move showed how quickly traders repriced risk as headlines changed.Liquidation data also pointed to high volatility across crypto markets. Around 157,000 traders were liquidated over 24 hours, with total liquidations of nearly $ 657 million and losses split across leveraged long and short positions. Even with the rebound, Bitcoin still closed February with a sharp monthly loss and remained on pace for a weak first quarter by historical standards. In practical terms, the price recovery suggested short-term relief, while the broader trend remained cautious.Also Read: Crypto Market Update: Can Bitcoin Hold Above $60,000 if US-Iran Conflict Headlines Intensify?Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp
Budget Smartphones That Are Beating Premium Models
These budget phones are outperforming premium flagships in real-world use, without the premium price tag.iQOO Z7 Pro: Snappy performance, great cameras, and smooth UI rival mid-tier and even some flagship phones.Redmi Note 13 Pro+: Flagship-style imaging and strong battery life make this a serious competitor to more expensive models.Poco X6 Pro: Fast chipset and robust gaming performance give many pricier devices a run for their money.Realme Narzo 80 Pro: Premium looks, reliable everyday performance, and strong battery endurance.Samsung Galaxy M34: Clean software, large display, and solid battery life — a well-rounded pack that beats some pricier peers.Vivo T2 5G: Stylish body plus smooth experience that rivals larger price-tagged rivals.Lava Agni 2 5G: Performance and display quality challenge phones costing much more.Moto G54: A smooth experience and dependable battery life that outlasts many flagships.Read More Stories!Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp
3 Features That Differentiate the Best Vulnerability Scanning Solutions
Software vulnerabilities are most dangerous when security teams don’t even know they exist. The Verizon 2025 Data Breach Investigations Report highlights a significant gap in vulnerability management, showing that only around 54% of edge vulnerabilities are fully remediated, with a median time to fix of 32 days. This delay creates a significant exposure window, giving attackers ample time to exploit known weaknesses. In response, vulnerability scanning tools have evolved from simple discovery mechanisms into continuous, risk-informed solutions that actively help organizations shrink these exposure windows. Rather than just identifying vulnerabilities, modern platforms use AI to focus on prediction, prioritization, validation, and enabling faster remediation. In this environment, three key capabilities set the best vulnerability scanning solutions apart from the rest. Dynamic Vulnerability Testing An important evolution in modern vulnerability scanning is the introduction of dynamic vulnerability testing capabilities. Traditional vulnerability scanners rely on known vulnerability databases and threat reports to identify weaknesses. They are effective but inherently passive, as they only detect potential issues based on known signatures. There is no validation whether those vulnerabilities can actually be exploited in a real-world scenario. As a result, security teams are flooded with findings, yet only a tiny fraction represent real risk. Studies suggest that as little as 1% of vulnerabilities are ever exploited in the wild. Dynamic vulnerability testing addresses this gap by actively simulating attacker behavior against live systems and applications. It’s associated with Dynamic Application Security Testing (DAST), and executes real-world attack techniques to uncover vulnerabilities that only appear during runtime. The most common issues it surfaces are tied to application logic, authentication flows, or user interaction. Many modern vulnerabilities are not just the result of outdated software or missing patches. They emerge from how applications behave under specific conditions. Static scanning alone cannot reliably detect these issues. Leading vulnerability scanning solutions are therefore starting to integrate dynamic testing capabilities into their platforms. Organizations can now move beyond identifying theoretical vulnerabilities and actually validate which weaknesses are exploitable in their environments. This shift has a direct impact on prioritization. Instead of relying on generic severity scores, security teams can focus on vulnerabilities that they validate through testing, significantly reducing false positives and improving remediation efficiency. Essentially, dynamic testing complements traditional scanning by providing a more complete picture of risk. Customizable Scan Profiles Not all environments or assets should be scanned the same way. A one-size-fits-all approach to vulnerability scanning usually leads to excessive noise, blind spots, or both. Organizations are dealing with tens of thousands of new vulnerabilities annually, with roughly 49,000 CVEs disclosed throughout 2025. Without proper tuning, scanning tools quickly overwhelm security teams with findings that lack context or prioritization. Top-tier vulnerability scanning solutions address this by providing highly customizable scan profiles, allowing security teams to tailor scans based on the asset type, exposure level, and business criticality. Modern scanners support multiple scanning approaches, including authenticated scans for deep internal visibility and unauthenticated scans for external attack surface assessments. Authenticated scans, for example, can uncover misconfigurations, privilege escalation paths, and internal weaknesses that external scans cannot see, while also reducing false positives through deeper validation. But the real differentiator is how granular and flexible the customization is. Leading solutions now allow teams to customize credential usage and access levels per environment, or align scans with specific compliance frameworks or risk models. The scan frequency also adjusts dynamically based on asset exposure or recent changes This level of control improves both accuracy and usability, transforming vulnerability scanning from a generic detection tool into a context-aware system that aligns security efforts with real-world risk. Remediation Workflow Automation Detection alone does not remove risk. To get the most value out of a vulnerability scanning tool, it should also directly support remediation. The best tools are already integrating advanced workflow automation directly in their platforms. Vulnerability scanners can now work hand-in-hand with operational tools to facilitate more efficient risk management by assigning, tracking, and resolving vulnerabilities throughout the lifecycle. This includes automatically creating tickets in systems such as Jira or ServiceNow, assigning them to the appropriate teams based on asset ownership, and prioritizing them according to risk factors such as exploitability and exposure. For high-severity issues, security teams can set up real-time alerts to collaboration tools such as Slack or Telegram, ensuring that critical vulnerabilities become immediately visible to the relevant teams. Some platforms even go a step further by integrating with development pipelines. DevSecOps teams can dynamically scan the codebase and configurations to find and escalate vulnerabilities before they reach production. Final Thoughts Vulnerability scanning is no longer just about identifying as many issues as possible. Modern exploitation happens quickly, and remediation resources are limited. The real priority is understanding which vulnerabilities actually matter and fixing them fast. The most effective vulnerability scanners help you do exactly that. They move beyond raw detection and enable a more focused, risk-driven approach to security.
Anthropic’s Claude AI Beats OpenAI’s ChatGPT in App Store Charts Amid Pentagon Deal Fallout
Anthropic's Claude has received huge support from users in its fight with the US Department of Defence (DoD). Claude AI has climbed to the No.1 position on the App Store amid user reactions to OpenAI’s Pentagon deal. It signals a shift in competitive dynamics within the AI app market.Claude AI Reaches No.1 on the App StoreOpenAI locked down a deal with the Pentagon to deploy its technology on the Department of Defense's classified network.Following the deal, Anthropic's Claude received significant support on social media, and the AI chatbot is now ranked number one on Apple’s App Store in the free apps category. What Sparked the Shift? OpenAI’s Pentagon Deal ExplainedOpenAI CEO Sam Altman confirmed on X that the company has signed a deal with the US government to use its models for classified work. “Two of our most important safety principles are prohibitions on domestic mass surveillance and human responsibility for the use of force, including for autonomous weapon systems. The DoD agrees with these principles, reflects them in law and policy, and we put them into our agreement,” Altman noted.Global Users Respond in Favour of Anthropic OpenAI has faced flak on social media after the company's deal with the Department of Defense. Users on platforms like Reddit and X have even called for the cancellation of ChatGPT subscriptions.American singer Katy Perry, for instance, put out a post on X with the caption ‘Done’, while the image showed her purchasing Anthropic's subscription with a heart in it.A user on Reddit, clearly not impressed by the OpenAI deal, wrote, "I think it's time to burn any bridges we had with ChatGPT, cancel your subscription, and delete it too, obviously. Also, start leaving bad reviews on the Play Store and App Store. And if you have to, use an open weights model!”One such user wrote, "This was a calculated business decision to chase government money at the expense of everything they promised when they asked for your trust and your subscription. You can be done with them in 15 minutes. And you can make the last month hurt a little on your way out.”US Government Bans Anthropic In a Truth Social post about ending the deal with Anthropic, US President Donald Trump had gone on to call the company ‘leftwing nut jobs’ and ‘woke’ while claiming that ‘their selfishness is putting AMERICAN LIVES at risk, our Troops in danger, and our National Security in JEOPARDY.’Trump had directed all US federal agencies to ‘immediately cease’ using Anthropic technology.“We don’t need it, we don’t want it, and will not do business with them again! There will be a six-month phase-out period for agencies like the Department of War that are using Anthropic’s products at various levels,” he wrote.Anthropic has challenged the US designation of the company as a ‘supply chain risk’ and said it will contest it in court.“Designating Anthropic as a supply chain risk would be an unprecedented action—one historically reserved for US adversaries, never before publicly applied to an American company. We are deeply saddened by these developments. As the first frontier AI company to deploy models in the US government’s classified networks, Anthropic has supported American warfighters since June 2024 and has every intention of continuing to do so,” the company wrote in a blog post.Also Read: US Military Used Claude AI After Trump’s Anthropic Ban, Claims ReportAI Ethics and Defense Partnerships: A Growing DebateAnthropic differed from other AI firms due to its safety-conscious business model. CEO Dario Amodei has always been against the Trump administration using the AI tool for spying on American citizens or to power killer robots that can eliminate people without human input.As debates over defense partnerships and corporate ethics intensify, trust and transparency may become defining factors in platform adoption, shaping the next phase of rivalry between leading AI developers.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp
Best Budget & Premium RTX 5060 Gaming Laptops in 2026
Overview:RTX 5060 laptops now offer strong 1440p gaming across budget and premium price segments in India.Models feature 13th and 14th Gen Intel or Ryzen HX chips with fast 144Hz and 165Hz displays.Buyers can choose based on display quality, battery capacity, processor power, and pricing.NVIDIA RTX 5060 has quickly become one of the most popular graphics cards in recent times. It delivers strong 1440p gaming performance and supports DLSS, which helps improve frame rates and visual quality. Many laptop brands are now combining this GPU with 13th and 14th-gen Intel processors as well as powerful AMD Ryzen HX chips. As a result, the competition in this segment has increased a lot. Let’s take a look at some of the best budget and premium RTX 5060 gaming laptops currently available in India.HP Victus (Core i7-13620H)Price: Rs. 1,15,490HP Victus is one of the most affordable laptops with the RTX 5060. The model provides good 1080p gaming performance, and the 144Hz display ensures great visuals during gameplay.Since the model already includes 24GB RAM, it can handle gaming and daily tasks comfortably. However, the 300 nits brightness is slightly lower than that of premium models, so outdoor visibility may not be as strong. Buy NowAlso Read: Top-Rated MSI Laptops for Gaming and Work in 2026ASUS TUF F16 (Core i7-14650HX)Price: Rs. 1,59,990ASUS TUF F16 focuses on durability and strong performance. This laptop integrates a 14th Gen HX processor, so it handles gaming and multitasking efficiently. The 165Hz display supports smooth visuals, while the 90Wh battery provides better battery life compared to many other gaming laptops.Although the model is far heavier than its counterparts, TUF 16 is still considered manageable for a gaming machine.Buy NowLenovo LOQ (Core i7-13700HX)Price: Rs. 1,45,990Lenovo LOQ offers a balanced mix of price and performance. The i7-13700HX processor is powerful, so it supports heavy gaming and even content creation tasks. With the RTX 5060 and a 144Hz display, it ensures smooth gameplay in most modern titles. In addition, the inclusion of a Game Pass subscription adds extra value.Buy NowAlso Read: Top 10 Lightweight Gaming Laptops in February 2026 (Thin & Powerful)MSI Katana 15 (Core i7-14650HX)Price: Rs. 1,34,990MSI Katana 15 is known for its display quality. The QHD 165Hz panel delivers sharper visuals and smoother motion, which improves the gaming experience. It also includes a 14th Gen HX processor, so performance remains strong during demanding tasks. The RTX 5060 with GDDR7 memory further enhances graphical output. Buy NowLenovo Legion 5 2025 (Ryzen 7 260)Price: Rs. 1,59,027Lenovo Legion 5 (2025) focuses on build quality and stable performance. It comes with a 165Hz WUXGA panel, so gameplay feels smooth and responsive. The Ryzen processor, along with the RTX 5060, supports both gaming and heavy workloads. Moreover, the AI-powered optimization helps in managing performance and thermals efficiently. Buy NowConclusionRTX 5060 gaming laptops are available across different price ranges, so buyers have more choices than before. The HP Victus fits well in the budget category, while the MSI Katana 15 offers strong value due to its QHD display. As competition increases, this category continues to grow rapidly, and it remains one of the most competitive gaming laptop segments in India this year.Product costs may vary according to sales events and site-wide discount festivals. Users are suggested to visit the site to obtain accurate pricing information.You May Also Like:Best AMD Ryzen 5-Powered Laptops in 2026Touchscreen Laptop Buying Guide for 2026: Best Models ReviewedBest Budget and Premium 14th Gen Intel Laptops in 2026FAQs:1. Are RTX 5060 laptops good for 1440p gaming in 2026?RTX 5060 laptops deliver smooth 1440p gaming with DLSS support and high refresh rate displays for better visuals.2. Which RTX 5060 laptop is best for budget buyers in India?HP Victus stands out in the budget range as it offers strong performance, 24GB RAM, and solid 1080p gaming support.3. Do RTX 5060 laptops support high refresh rate displays?Most RTX 5060 models include 144Hz or 165Hz panels, which improve smoothness during competitive gameplay.4. Is RTX 5060 suitable for content creation tasks?With powerful Intel HX and Ryzen HX processors, RTX 5060 laptops handle editing and multitasking smoothly.5. What factors matter most when choosing RTX 5060 laptops?Display resolution, processor type, RAM capacity, battery size, and pricing are key decision factors.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp
Best AI Team Collaboration Tools in 2026: Full Guide by Business Type
AI collaboration tools in 2026 are revolutionizing teamwork by enabling automatic communication and process improvements between team members. This guide presents the most effective tools for businesses to use, tailored to their specific requirements, and provides both practical guidance and complete implementation steps.What Are AI Team Collaboration Tools in 2026?The AI team collaboration tools of 2026 function as platforms that utilize large language models combined with agentic AI technology to create automated systems that manage team workflows through recommendations and system integration methods all while enabling team communication. The tools have become essential because 72 percent of teams now use AI technologies for their daily teamwork activities.The standard operating procedures for 2026 include AI-powered workflow automation as an essential component. The tools provide more than basic messaging and document sharing functions because they use advanced systems to offer intelligent next-step recommendations while they handle repetitive work and connect with different software applications. The system will analyze project timelines to delegate tasks based on team members' availability and expertise, which will result in significant reductions of manual work.Why Do AI Collaboration Tools Matter for My Business in 2026?AI collaboration tools are essential because they significantly enhance productivity, streamline workflows, and deliver a competitive edge. Studies show that AI-powered collaboration can boost team output by an average of 37%, translating into faster project completions and improved efficiency.Key ROI drivers:Boosted Productivity: AI collaboration tools can increase output by 37%.Faster Decision-Making: Enhanced data insights lead to quicker actions.Cost Savings: Streamlined processes reduce operational costs.How Do I Choose the Right AI Collaboration Tool?Nearly 63% of businesses regret their tool purchases due to misalignment with actual needs. To avoid this, use this five-step checklist before committing.1. Define Your Needs Identify what your team requires: size, specific tasks, workflows. Are you looking for tools that enhance communication, project management, or both?2. Match Tool to Business Type Different industries have unique requirements. A SaaS company may prioritize cloud integrations; an agency needs client collaboration features; a compliance-driven organization needs on-premise or private cloud options.3. Assess Integrations Ensure the tool connects with systems your team already uses — CRM, email, project management. Incompatibility is the most common reason pilots fail.4. Check Security and Compliance Verify that tools comply with relevant regulations (GDPR, HIPAA) and include data encryption, access controls, and audit trails. For regulated industries, check whether on-premise deployment is available.5. Verify AI Capabilities Look for genuine AI automation — workflow triggers, intelligent task assignment, natural language search — not just a writing assistant bolted onto a standard tool.What Are the Top AI Team Collaboration Tools for 2026?Best for SaaSAsanaCore AI Feature: Smart task prioritization based on deadlines and team workloads.Asana integrates with Slack, Google Drive, and Microsoft Teams. Best for product and operations teams that need structured task management without the overhead of a full PM tool.Pros: User-friendly, customizable workflows. Cons: Limited offline capabilities; AI features are an add-on.TrelloCore AI Feature: Automation with Butler AI for repetitive task management.Trello's visual Kanban interface is the easiest entry point for teams new to project management tools. Butler automates card movements, due date reminders, and checklists.Pros: Visual project tracking, fast setup. Cons: Doesn't scale well for complex multi-team projects.Best for AgenciesMonday.comCore AI Feature: AI-driven workload optimization across teams and projects.Monday.com balances workloads automatically and supports integrations with Adobe, Zoom, and Salesforce. Strong dashboards make it popular with client-facing teams.Pros: Highly customizable dashboards, excellent support. Cons: Pricing escalates with features.ClickUpCore AI Feature: Task automation and smart scheduling integrated into project workflows.ClickUp combines tasks, docs, and chat in one tool with AI automation across all functions. One of the most feature-dense options in the market.Pros: All-in-one platform, flexible task views. Cons: Steep learning curve for advanced features.Best for EnterprisesMicrosoft TeamsCore AI Feature: Intelligent meeting insights — summaries, action items, follow-ups.Teams integrates deeply with Office 365 and offers enterprise-grade compliance features including data loss prevention and auditing. Best for organizations already in the Microsoft ecosystem.Pros: Strong security, deep Microsoft integration. Cons: Less intuitive for teams outside the Microsoft stack.SlackCore AI Feature: AI-powered search and conversation recommendations across channels.Slack's extensive app ecosystem (2,000+ integrations) makes it the default communication layer for most tech-adjacent teams. Slack AI adds search, summarization, and channel digests.Pros: Extensive integrations, real-time messaging. Cons: Notification overload without channel discipline.Best for Remote TeamsNotionCore AI Feature: AI-enhanced content organization and document generation.Notion combines notes, databases, tasks, and wikis in one flexible workspace. Notion AI adds writing assistance and document summarization. Popular with distributed teams for async documentation.Pros: Flexible workspace, strong for knowledge management. Cons: Limited offline functionality; task management less powerful than dedicated PM tools.BridgeAppCore AI Feature: AI agents that operate across chat, tasks, and the knowledge base simultaneously.The AI workspace BridgeApp provides essential functions for remote teams through its integrated platform, which includes messaging, task management, knowledge base, databases, and AI agents. The system provides both cloud and on-premise deployment options, which enable remote teams to comply with data sovereignty requirements. Bridge’s AI-powered workspace enables your team to achieve higher productivity through its real-time collaboration features, which enable task assignment and monitoring, structured knowledge base management, file storage and sharing, and custom AI agent development. The system provides security and structure for project management by enabling users to drive project progress. The system functions perfectly for project management needs and team collaboration requirements.The system enables you to design structured databases with flexible elements that meet the specific requirements of your business without needing to write any code. You can use the system to build custom workflows by defining your fields, relationships, and logic programming.Pros: Replaces multiple tools; AI agents work across all workspace functions; on-premise option for compliance needs. Pricing: Free tier (unlimited members); Pro from €9/user/month.MiroCore AI Feature: AI-assisted brainstorming and visual collaboration.Miro uses AI to help generate ideas and structure workshops. Best for creative and design teams that need visual collaboration tools rather than linear project management.Pros: Excellent for brainstorming and workshops. Cons: Can lag with very large boards or many simultaneous users.Best for Cross-Functional TeamsAirtableCore AI Feature: AI-driven data organization and visual report generation.Airtable sits between spreadsheet and database, with AI features that help organize records and automate field suggestions. Strong for teams that work with structured data across departments.Pros: Highly customizable, visually appealing. Cons: Limited relational database capabilities for complex schemas.BasecampCore AI Feature: Automatic check-in prompts to keep teams aligned.Basecamp uses a flat project structure — message boards, to-do lists, schedules — with AI-driven check-ins replacing status meetings. Flat-rate pricing ($99/month for unlimited users) is a major advantage for larger teams.Pros: Simple, predictable pricing, low friction. Cons: Lacks advanced features found in more complex tools.At-a-Glance Features and Pricing ComparisonWhat Are the Best Free and Open-Source AI Collaboration Tools?46% of small companies rely on free and open-source tools to enhance collaboration. Here are the strongest options:Note on free vs. commercial for privacy: Open-source tools like Mattermost and Nextcloud require self-hosting expertise but give complete data control at no license cost. For teams that want on-premise deployment without the maintenance overhead, commercial tools with on-premise options — BridgeApp for collaboration, OpenProject for project management — are the middle ground.How Can Large Teams and Enterprises Scale AI Collaboration Securely?62% of large organizations cite integration and security as their top challenges when scaling AI solutions.Priority Security Features for Teams Over 1,000Data Encryption: All data at rest and in transit should use industry-standard encryption. Verify the vendor's encryption specs before committing.Access Control: Role-based access controls (RBAC) limit user permissions based on role. Essential for preventing data exposure in large orgs with varied seniority levels.Audit Trails: Comprehensive logging tracks user activity and supports incident response. Required for most compliance frameworks.Compliance ChecklistConduct a risk assessment for each AI tool before deploymentVerify vendor compliance certifications (SOC 2, ISO 27001, GDPR, HIPAA as relevant)Establish data governance policies covering collection, storage, and retentionConfirm data residency — where is data physically stored, and does that meet your requirements?Top Tools for Large TeamsMicrosoft Teams offers advanced compliance features including data loss prevention, audit logs, and eDiscovery. Best for organizations already in the Microsoft ecosystem.Slack Enterprise Grid provides SSO, enterprise mobility management, compliance exports, and DLP controls. Best for organizations that want Slack's flexibility at scale.Nextcloud allows full self-hosting with end-to-end encryption and customizable compliance settings. Best for organizations that cannot use US cloud providers.BridgeApp provides on-premise and private cloud deployment with AI agents that process data locally — relevant for regulated industries (healthcare, finance, legal, government) that need modern AI features without sending data to third-party cloud AI providers.Case Study ExampleA global tech company with 1,500+ employees implemented Microsoft Teams with a structured data governance policy aligned to their compliance requirements. Result: 30% reduction in security incidents within the first year, alongside improved cross-department collaboration.How to Implement AI Collaboration Tools Step-by-StepOnly 11% of companies see ROI within three months without a structured adoption plan. Here's the process that works:Step 1: Assess Your Needs Identify specific pain points — repetitive tasks, communication gaps, status update overhead. Involve your team in this assessment to surface problems you might not see from the top down.Step 2: Choose the Right Tool Match tool to need. If the problem is communication fragmentation, evaluate Slack or Teams. If it's knowledge management, evaluate Notion or BridgeApp. If it's task tracking, evaluate Asana or ClickUp. If it's multiple of these — evaluate consolidated platforms.Step 3: Pilot the Tool Run a pilot with a small group (5-15 people) before company-wide rollout. Define what success looks like in advance — time saved, tasks automated, adoption rate — so the pilot has clear evaluation criteria.Step 4: Training and Onboarding Invest in training. Create guides, host workshops, designate team champions who can support peers. Tools fail most often because of adoption gaps, not feature gaps.Step 5: Monitor and Measure ROI Track KPIs: time saved on tasks, communication efficiency, overall productivity. Compare to pre-pilot benchmarks. Adjust strategy based on what the data shows, not what the vendor promised.Quick WinsIntegrate with tools already in use before asking the team to adopt new workflowsSolicit feedback early and often during the pilot phaseShфare success stories widely to encourage broader adoptionNext StepsStart by identifying your team's primary pain point, communication fragmentation, task management overhead, knowledge silos, or all three. That determines which category of tool to evaluate first. Use the comparison table above to shortlist two or three options, run a structured pilot with clear success metrics, and measure before expanding company-wide.FAQs: AI Collaboration Tools in 2026Are AI tools secure? Yes — leading AI collaboration tools implement end-to-end encryption and comply with industry standards. For regulated industries, verify on-premise or private cloud options are available.What are the best integrations for AI collaboration tools? Top integrations include Slack, Google Workspace, and Microsoft Teams for communication, plus CRM systems and project management tools for workflow continuity.Can I use free tools at scale? Many free tools work well for small-to-medium teams. Scaling typically requires paid plans for advanced features, security controls, and support SLAs.How soon will we see ROI? Typically 3-6 months with a structured implementation strategy. Companies with unstructured rollouts often see ROI much later or not at all.What features should I prioritize? Workflow automation, integration capabilities, AI agents (not just AI writing), and for regulated teams — data residency and deployment options.Are AI collaboration tools suitable for remote teams? Yes. They're particularly valuable for remote teams dealing with async coordination, tool fragmentation, and knowledge management across time zones.Which tools work for teams that can't use US cloud providers? Self-hosted options include Mattermost, Nextcloud, Rocket.Chat, and OpenProject. Commercial options with on-premise deployment include BridgeApp. This is a smaller but growing segment as data residency requirements tighten globally.
Best TVs with Built-in Dolby Atmos Speakers in 2026
Overview:Dolby Atmos TVs now deliver immersive audio without external sound systems.Options available from 43-inch to 75-inch across multiple price segments.High refresh rates and advanced panels improve gaming and sports viewing.Television technology has evolved rapidly over the past few years. Picture quality is no longer the only focus. Sound performance now plays an equally important role in the overall viewing experience. Dolby Atmos has become a key feature in many new televisions. It creates a wider and more layered soundstage, making audio feel more realistic. Several brands are offering TVs with built-in Dolby Atmos speakers, reducing the need for external sound systems. Here are some of the top options currently available.Philips 55-inch 4K Mini LED Smart Google TVPrice: Rs. 43,999Key Features:• Mini LED with Local Dimming• Dolby Vision and HDR10+• 36W Built-in Speakers with Dolby Atmos• 120Hz Refresh Rate• Filmmaker Mode• 32GB StorageThe Philips 55-inch model is built for balanced performance. Mini LED backlighting improves contrast and controls brightness more precisely. Dark scenes look deeper, while highlights remain sharp. The 36W speaker system delivers clear output with Dolby Atmos support. Motion handling feels smooth due to the 120Hz refresh rate. It works well for sports and console gaming. Storage space is also generous for apps and streaming platforms.Buy NowAlso Read: How to Set Up Dolby Vision and Dolby Atmos on Your TVTCL 55-inch 4K Ultra HD Smart Google TVPrice: Rs. 30,990Key Features:• HVA Panel• Dolby Vision• Dolby Atmos• MEMC Motion EnhancementThis TCL television is designed for everyday entertainment. The HVA panel improves native contrast levels. Colours appear natural and balanced. Dolby Vision enhances brightness and detail in supported content. Audio feels more spacious with Dolby Atmos. MEMC technology reduces motion blur, which helps during fast-paced scenes. The overall design is minimal and modern.Buy NowSansui 43-inch QLED 4K Smart Google TVPrice: Rs. 26,990Key Features:• QLED Display Panel• Dolby Vision and Dolby Atmos• 30W Box SpeakersSansui’s 43-inch TV is compact and practical. It fits comfortably in bedrooms or small living rooms. The QLED panel delivers bright visuals with improved colour accuracy. Dolby Vision support enhances clarity in high-quality streams. The 30W box speakers provide decent loudness. Dolby Atmos adds a sense of depth to the sound. It is a simple option for viewers who want solid features at a reasonable price.Buy NowAlso Read: Dolby Atmos vs DTS:X vs Surround Sound: Which Audio Technology is Best?Hisense 65-inch 4K Ultra HD Smart QLED TVPrice: Rs. 47,999Key Features:• QLED Panel• Dolby Vision, Dolby Atmos, and HDR10+• AI 4K Upscaler• ALLM Support• VIDAA OSHisense 65-inch model targets larger spaces. Its QLED panel produces vibrant colours and steady brightness. HDR formats are widely supported, which improves dynamic range. Dolby Atmos enhances the overall listening experience. The AI 4K upscaler sharpens older content and reduces noise. ALLM supports benefits gamers by lowering input lag. The VIDAA operating system is responsive and easy to navigate.Buy NowToshiba 75-inch 4K Ultra HD Smart QLED TVPrice: Rs. 74,999Key Features:• 144Hz Refresh Rate• Dolby Vision and Dolby Atmos• 36W Speakers• REGZA Engine ZRiThis Toshiba 75-inch television is built for a theatre-like feel. The large display fills up wide walls easily. A 144Hz refresh rate ensures very smooth visuals. This makes it suitable for gaming consoles and live sports. The REGZA processing engine optimises colour and sharpness. Sound output is powerful for an in-built system. Dolby Atmos creates a wider audio field that feels immersive.Buy NowTCL 65-inch 4K UHD Smart QD-Mini LED Google TVPrice: Rs. 66,990Key Features:• QD-Mini LED Technology• Enhanced Local Dimming• Dolby Atmos• Google TV Platform• Wide Colour GamutTCL 65Q6C stands out for its display technology. QD-Mini LED improves brightness control and precision. Contrast appears stronger in darker scenes. Colours look rich without appearing oversaturated. Dolby Atmos support adds dimension to everyday viewing. The Google TV platform offers personalised recommendations. The 65-inch size suits medium and large rooms comfortably.Buy NowConclusionDolby Atmos televisions are now available across multiple price segments. Buyers can choose from compact 43-inch models to expansive 75-inch displays. Each brand highlights a different strength, whether it is brightness, motion clarity, or smart features. Built-in Atmos speakers may not replace premium home theatre systems. They deliver fuller and more engaging sound than standard TV audio. For many households, that balance of picture quality and immersive sound is more than sufficient.You May Also Like:Space-Saving Google TVs: Best Picks for Studio ApartmentsXiaomi vs OnePlus vs TCL TVs: Best Value Smart TVs in 2026Top TVs for Bright Rooms: Best Options to Buy in 2026FAQs:1. What makes Dolby Atmos different from standard TV audio systems?Dolby Atmos creates layered and multidimensional sound, making audio feel wider and more realistic than regular TV speakers.2. Do built-in Dolby Atmos speakers replace a home theatre systemBuilt-in Atmos speakers improve immersion significantly, but dedicated home theatre systems still offer deeper bass and power.3. Is a 120Hz or 144Hz refresh rate important for daily viewing?Higher refresh rates reduce motion blur, improving sports broadcasts and gaming performance noticeably.4. What is the benefit of Mini LED and QLED technology in TVs?Mini LED improves brightness control, while QLED enhances colour accuracy and overall display vibrancy.5. Does Dolby Vision improve picture quality on streaming platformsDolby Vision enhances contrast, brightness and detail in supported content for a more cinematic viewing experience.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp
NYT Connections Hints and Answers for March 1, 2026 (Puzzle #994)
Overview:NYT Connections is a challenging daily puzzle game that offers players a set of 16 words to arrange into four themed sets.The theme presents four distinct themes every day, without any connection between them. It tests vocabulary skills by requiring players to discover hidden links without the themes initially stated.NYT Connections March 1 grid is live with four new themes and 16 connected words. When you look at the grid, initially, it seems completely meaningless with random words. The task of players is to discover the hidden links between these words. Quick glimpses won’t give you any clue. With a profound observation, these words reveal the four sets of today. The world of word puzzles is massive, but hardly any others compete with the puzzles that The New York Times presents. Whether it's NYT Strands, NYT Connections, or Wordle, each of these web-based word puzzles has its specific word-guessing method. In NYT Connections, the theme isn’t stated initially, but once players guess the right sets, the game reveals the themes:Hints for Today's NYT Connections March 1, 2026This puzzle is tricky, but some clues may make things easier for gamers. Here are some hints to help players solve today’s puzzle. Let's start with the hints category-wise:Easiest Group (Yellow): Today’s yellow group words are Little biteModerate Group (Green): The green group consists of words related to Construction equipmentChallenging Group (Blue): The blue group words are generally associated with Vacation emojiMost Difficult Group (Purple): Finally, the purple category words Things you don’t eat that end in foodsOne Word Hints For Today’s PuzzleIf you are still a bit confused about the themes of today’s puzzle, below are the one-word hints. From every category, one word is listed below:Small snacksTools and gear used on job sitesSymbols of traveling for funLook like food but are not edibleThese hints will help you identify what other words of the category may contain. Answers of Today's NYT Connections March 1, 2026The given hints have hopefully resolved the confusion and helped players form the groups without many errors. However, if that’s not the case and some are still trying to figure out the word groups of today, here are the solutions to the NYT Connections of March 1, 2026. Yellow Category (Little bite): CANAPÉ, FINGER FOOD, HORS D’OEUVRE, TAPAGreen Category (Construction equipment): HARD HAT, LADDER, NAIL GUN, TOOL BELTBlue Category (Vacation emoji): AIRPLANE, LUGGAGE, PALM TREE, SMILING FACE WITH SUNGLASSESPurple Category (Things you don’t eat that end in foods): COPYPASTA, JOHANNESBURGER, KNUCKLE SANDWICH, LICORICE PIZZAThese are the four categories for today’s puzzle, and congratulations to those who have solved it without any help. Also Read: How to Make Your Own NYT Connections Game?Check out the image below to know how to make the sets of today’s puzzle:Final WordsNYT Connections’ highlight is its four different themes. Most NYT Puzzles have one theme, and the words are all related to that specific theme. However, it changes when it comes to NYT Connections. Every day, there are four new themes, which captivate puzzle enthusiasts across the world. Without a sound knowledge of the connection between words, there’s no way one can guess the exact word groups without help. The solution not only provides players with a satisfying experience but also enriches their vocabulary. Also Read: NYT Connections Hints and Answers for February 25, 2026 (Puzzle #990)Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp
Top 20 Best Adventure Movies in Hollywood of All Time
Overview:Adventure films often focus on exploration missions across unknown lands and worlds.Survival, courage, and decision-making remain central themes in adventure cinema.Journeys in adventure movies often highlight discovery and human curiosity.Adventure films have maintained a strong position in Hollywood through a complex combination of emotion and action-packed survival sequences. These movies follow characters who leave their normal lives behind and step into risky situations.As stories move ahead, the surroundings often become just as important as the main characters in the movie. Whether the setting is a jungle, a desert, the ocean, or even space, adventure films show how far someone can go when faced with danger and uncertainty.Let’s take a look at the best adventure movies in Hollywood and the stories that they tell.Raiders of the Lost ArkIMDb Rating: 8.4/10Released in 1981, the film follows archaeologist Indiana Jones as he searches for the Ark of the Covenant. At the same time, powerful enemies are also trying to claim the artifact. Because of this competition, the journey is filled with traps, action scenes, and constant threats.Jurassic ParkIMDb Rating: 8.2/10The story takes place on an island where scientists create dinosaurs through genetic technology. Visitors and experts must find a way to escape while dangerous creatures roam freely.Also Read: Family Movie Night: Best Films to Stream on Prime Video This WeekendIndiana Jones and the Last CrusadeIMDb Rating: 8.2/10In this film, Indiana Jones and his father search for the Holy Grail. As they follow clues across different locations, they face enemies, challenging obstacles, and explore the emotional depth of their relationship.The Lord of the Rings: The Fellowship of the RingIMDb Rating: 8.9/10This adaptation of J.R.R Tolkein’s book delves into the experiences of a small group chosen to destroy a powerful ring that could damage their world forever. Since evil forces are hunting them, the journey becomes risky from the beginning. Friendship and loyalty play an important role as the mission continues.Pirates of the Caribbean: The Curse of the Black PearlIMDb Rating: 8.1/10The first part of the Pirates of the Caribbean shows how Captain Jack Sparrow becomes involved in a rescue mission at sea. Meanwhile, a cursed pirate crew creates fear and chaos. The film blends sea battles, humor, and fantasy elements.King KongIMDb Rating: 7.2/10A filmmaking team travels to a remote island for a project. Soon, they discover a giant creature living there. As events take a serious turn, survival becomes their main concern.The RevenantIMDb Rating: 8.0/10The Revenant is a tale that shows the strength and resilience of mankind. After being badly injured in the wilderness, a frontiersman is left behind by his group. Harsh weather and wild animals make survival difficult. His determination keeps him moving forward despite the odds.AvatarIMDb Rating: 7.9/10Avatar is a story about humanity’s arrival on a distant planet to collect valuable resources. Conflict begins when they interact with the native population. As relationships grow, this explores both adventure and moral struggles.Also Read: Best Action Films on Amazon Prime Video Right Now: Top 10 PicksMad Max: Fury RoadIMDb Rating: 8.1/10Set in a dry and barren wasteland, the film follows a dangerous escape from a violent ruler. High-speed chases dominate the story. The characters must rely on teamwork to survive.InterstellarIMDb Rating: 8.7/10A team of astronauts travels beyond the solar system as Earth is facing a crisis. Space presents new scientific and emotional challenges. Their mission becomes extremely important for the survival of humanity and its continued existence.Life of PiIMDb Rating: 7.9/10After a ship sinks, a young boy is stranded in the ocean with a wild tiger. The endless sea creates a feeling of isolation. The film’s main theme of survival depends on patience, courage, and hope.The MartianIMDb Rating: 8.0/10An astronaut is accidentally abandoned on Mars. Since rescue will take time, he uses his scientific knowledge and creativity to stay alive. Back on Earth, efforts continue to bring him home. The film details his experiences and the aftermath of his return.JumanjiIMDb Rating: 7.1/10Jumanji’s story is based on a magical board game that brings fictional jungle dangers to life. As problems increase, the players understand that finishing the game is the only solution. The adventure mixes fantasy with excitement.National TreasureIMDb Rating: 6.9/10Nicholas Cage plays the role of a treasure hunter who searches for clues hidden in ancestral documents. Each discovery leads to another mystery as the journey connects adventure, historical significance, and emotional development.The MummyIMDb Rating: 7.1/10Explorers looking for ancient treasure awaken a powerful curse. Supernatural events soon begin to threaten their lives. The desert setting adds suspense to the story.Cast AwayIMDb Rating: 7.8/10After a plane crash, a man finds himself alone on a deserted island. With no contact with the outside world, loneliness becomes a serious challenge. Survival depends on physical and mental strength.The Secret Life of Walter MittyIMDb Rating: 7.3/10This film shows the journey of Walter Mitty, a quiet office worker, who travels all over the world to locate a missing photograph. During the journey, he experiences new challenges and epiphanies. The movie explores his personality changes and the improvements he makes over time.Journey to the Center of the EarthIMDb Rating: 5.8/10A group of individuals discovers a strange, hidden world deep below the Earth’s surface. Bizarre creatures and dangerous paths create tension. The underground setting makes this adventure film extremely intriguing and exciting.InceptionIMDb Rating: 8.8/10A skilled team enters layered dream worlds to complete a complex mission. Each level brings new risks. As they move deeper, the difference between reality and imagination becomes unclear. AnacondaIMDb Rating: 4.9/10This horror film begins with a documentary team traveling through the Amazon rainforest to study wildlife. Soon, they encounter a massive snake that puts everyone in danger. The movie shows how a river expedition turns into a struggle for survival as the characters grasp at every chance to escape towards sanctuary.ConclusionAdventure films have maintained their position as some of the most popular titles in the industry. They place characters in extreme situations where courage and quick decisions can make or break survival. Although the settings vary from forests and oceans to fantasy worlds, the theme of survival connects them all. These films continue to entertain audiences by showing how people react when faced with the unknown.You May Also Like:Hulu Weekend: Best Family Movies to Watch With Loved OnesThis Week’s Top OTT Movies & Web SeriesBest Action Films on Amazon Prime Video Right Now: Top 10 PicksFAQs:1. What themes are commonly found in Hollywood adventure filmsAdventure films often include survival challenges, exploration missions, and discovery journeys across unknown lands, worlds, or space settings.2. How do adventure films differ from action movies in storytellingAdventure films usually focus on exploration quests and survival, while action films mainly highlight combat, conflict, and physical stunts.3. Why do survival-based adventure films remain popular worldwideSurvival stories create tension and highlight human resilience, decision-making, and adaptability in extreme or unfamiliar environments.4. What makes space-based adventure films engaging for audiencesSpace adventures combine science fiction elements with exploration missions that take characters into unknown planetary environments.5. How do treasure hunt films contribute to the adventure genreTreasure-hunt films add mystery and historical clues while presenting journeys that involve problem-solving and discovery.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp
Explore Data Science This Weekend: Best YouTube Channels to Follow
Overview:Free YouTube channels provide structured playlists covering AI, ML, and analytics fundamentals.Practical coding demonstrations help build real-world data science skills quickly.Career-focused content supports interview preparation and portfolio development.Global interest in artificial intelligence, machine learning, and analytics has seen considerable growth in recent times. Many learners are now turning to free online platforms to understand how data science works in real-world settings. While structured courses and certification programmes remain important, YouTube has emerged as one of the most accessible starting points for exploring this field without any financial investment.Let’s take a look at the best data science YouTube channels to follow and the lessons that they offer.freeCodeCamp.orgSubscribers: 11.5 MillionOne of the most widely followed educational technology channels, freeCodeCamp.org, provides full-length tutorials covering Python programming, machine learning fundamentals, data analysis techniques, and interview preparation modules. The channel hosts extensive playlists that introduce beginners to predictive modelling, neural networks, and popular Python libraries.Also Read: 10 YouTube Channels That Teach Data Science for FreeStatQuest with Josh StarmerSubscribers: 1.59 MillionFor learners who find statistical theory difficult to understand, StatQuest with Josh Starmer offers simplified lessons on concepts such as linear regression, decision trees, and support vector machines. The tutorials explain tough algorithms by simplifying their operations through small visual steps.CodebasicsSubscribers: 1.48 MillionAnother channel gaining attention is Codebasics, where programming, machine learning, and data analysis are explained through real-world datasets and application-based case studies. Topics such as natural language processing, Python fundamentals, and model deployment are demonstrated using practical examples that reflect business scenarios.Krish NaikSubscribers: 1.3 MillionLearners interested in building end-to-end machine learning systems often turn to Krish Naik, whose content focuses on deep learning, computer vision, and real-life implementation of artificial intelligence models. Tutorials frequently demonstrate how theoretical concepts are applied in live coding environments to solve predictive problems.SentdexSubscribers: 1.43 MillionFor those seeking hands-on experience in Python-based machine learning workflows, Sentdex provides in-depth playlists on regression models, clustering algorithms, and deep learning frameworks. The channel also includes tutorials on GUI development, image analysis, and financial data modelling using open-source tools.Data SchoolSubscribers: 261,000Data School offers beginner-friendly lessons on data cleaning, web scraping, and model evaluation using the scikit-learn library. The channel focuses on building foundational skills required before moving into advanced machine learning topics such as classification and model optimisation.Also Read: Top YouTube Channels to Learn Data ScienceKen JeeSubscribers: 276,000Career-oriented learners benefit from following Ken Jee, who shares project ideas and portfolio development strategies. This channel also provides data science interview insights based on personal industry experience. Alex The AnalystSubscribers: 1.2 MillionAlex The Analyst provides detailed explanations about business intelligence tools such as SQL, Excel, Tableau, and Power BI. The channel has tutorials that expose learners to the intricacies of data science analytics. This content is useful to understand how data is interpreted and visualised for decision-making processes.ConclusionAs online learning continues to expand, these YouTube channels provide a flexible entry point for exploring programming logic, statistical reasoning, and machine learning workflows over a short period of time. With structured playlists and project-based demonstrations readily available, learners can use the weekend to begin building a conceptual understanding of data science without relying solely on formal classroom instruction.You May Also Like:Best AI Learning Channels on YouTube: Top 10 Picks for SuccessBest YouTube Channel to Learn Freelancing & Remote Work SkillsBest YouTube Channels to Learn Rust in 2025FAQs:1. Can data science be learned effectively through YouTube tutorialsYes, structured playlists and project demos on YouTube help build strong basics and practical coding skills.2. Are YouTube data science lessons suitable for beginners?Many channels simplify statistics and programming concepts for beginners with visual explanations.3. Which skills are essential before starting machine learning?Basic Python knowledge, statistics fundamentals and data handling skills are helpful foundations.4. Do these channels cover real-world data science projects?Several creators demonstrate predictive models, case studies and deployment workflows step by step.5. Is YouTube enough for professional data science preparationYouTube builds foundations, but combining it with projects and structured courses improves expertise.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp
9 Reasons Everyone Is Talking About AI Stocks Right Now
AI Stocks Are Everywhere!: From chatbots to self-driving tech, AI is reshaping markets and investors can’t stop talking about it.AI Revenue Is Exploding: AI tech sales and services are growing at double-digit rates, fueling investor excitement.Generative AI Boom: Tools like large language models are driving new use cases and new valuations.Cloud AI Dominance: Big cloud providers are embedding AI, creating recurring revenue streams.AI Chips Driving Demand: Specialized AI chips are needed for training and inference and companies that make them are booming.Enterprise Digital Transformation: Top firms across industries are investing heavily in AI, boosting tech stock prospects.New Startup Unicorns: VCs are pouring capital into AI ventures with lofty growth expectations.Big Tech Earnings Surprises: Several tech giants are beating expectations thanks to AI-driven revenue.Retail Investor FOMO: Social media buzz and hype push more investors to explore AI stocks.Read More Stories!Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp
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