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OverviewBitcoin futures open interest has dropped to $32 billion, the lowest level since 2024, showing reduced leverage in the derivatives market.Despite weaker futures demand, Bitcoin rebounded nearly 10% from $63,000, indicating continued strength in the spot market.Institutional participation remains visible through Bitcoin ETFs, $79 billion in corporate holdings, and $7.5 billion CME futures exposure.Bitcoin’s derivatives market is starting to slow down. Demand for Bitcoin futures has dropped to levels last seen in 2024. This has raised questions about whether large investors are reducing leveraged trading.Recent data shows that total Bitcoin futures open interest across major exchanges has dropped to about $32 billion. This is a drop of nearly 20% in the past month. In Bitcoin terms, open interest is now around 491,300 BTC, the lowest level since August 2024.Open interest is the total number of active futures contracts in the market. When this number falls, it usually means traders are closing their positions or avoiding new leveraged trades. The recent drop suggests that many traders are lowering risk after months of market volatility.Also Read - Is Bitcoin a Forever Hold? New Bullish Indicator Says ‘Yes’Lower Premium Signals Weak Leverage DemandAnother indicator confirming the slowdown is the annualized premium on monthly Bitcoin futures, also known as the basis rate. Currently, this premium is close to 2%.This number usually stays between 5% and 10% when the market is stable. If the premium drops below this range, it means traders are less interested in opening bullish leveraged positions.A low premium shows that investors are not willing to pay extra to hold long futures contracts. This situation suggests weaker confidence in short-term price growth and a more cautious attitude among traders.Spot Market Shows StrengthEven though futures demand is falling, the spot market has stayed relatively strong. Bitcoin recently rebounded nearly 10% after testing the $63,000 price level.This recovery indicates that buyers in the spot market are still active. Many long-term investors appear willing to accumulate Bitcoin during price dips.The difference between spot market strength and weaker derivatives demand highlights a shift in strategy. Instead of using leverage, some investors may prefer direct ownership of Bitcoin.Also Read - How is the Iran Conflict Impacting Bitcoin’s Price in 2026?Aftermath of the Previous Market PeakPart of the decline in futures demand can be linked to the earlier market cycle. Bitcoin reached an all-time high of around $126,200 in October 2025.During this period, the market saw heavy use of leverage. Traders opened large long positions, expecting prices to continue rising. However, when the market cooled, many of these positions were liquidated or closed.Profit-taking also played a role. After strong gains, traders usually reduce risk and lock in returns. As a result, overall futures exposure dropped sharply, and derivatives activity has been lower as investors reassess market conditions.Institutions May Be Changing StrategyAlthough futures demand has declined, the data does not clearly show that institutions are leaving the crypto market.Spot Bitcoin exchange-traded funds (ETFs) are still experiencing strong trading activity. Daily trading volumes in these funds often exceed $3 billion, indicating continued institutional interest.Additionally, publicly listed companies collectively hold more than $79 billion worth of Bitcoin on-chain. Corporate balance sheets continue to include Bitcoin as a long-term asset. These figures suggest that institutions remain involved in the ecosystem but may be shifting their strategies.Institutional Presence in Regulated MarketsInstitutional participation is also visible in regulated derivatives markets. The Chicago Mercantile Exchange (CME) currently holds about $7.5 billion in Bitcoin futures open interest.CME is widely used by hedge funds, asset managers, and large trading firms because it operates within traditional financial regulations. The continued activity on this exchange indicates that professional investors have not completely stepped away from Bitcoin derivatives.Instead of speculative trading on offshore platforms, some institutions may be focusing on regulated markets or alternative investment products.Macroeconomic Factors Influencing BehaviorGlobal economic conditions are also affecting investor decisions. Uncertain interest rates, geopolitical conflicts, and changing money flow in financial markets are making investors more careful.When markets feel uncertain, investors usually reduce borrowing and avoid risky trades. Instead, they choose safer strategies to protect their money. This happens in both traditional financial markets and the cryptocurrency market.A Market Still Showing StrengthDespite the slowdown in futures demand, the broader crypto market is largely active with a total cryptocurrency market capitalization of nearly $2.3 trillion. Bitcoin alone represents $1.3 trillion of this total. This dominance highlights its continued role as the leading digital asset.The current situation appears less like a major withdrawal and more like a period of adjustment. Lower leverage, reduced open interest, and smaller premiums suggest traders are becoming more careful rather than abandoning the market.If market conditions improve and price momentum returns, futures demand could rise again as investors regain confidence and rebuild leveraged positions.FAQs1. What does the drop in Bitcoin futures demand mean?A decline in futures demand usually indicates that traders are reducing leveraged positions and taking a more cautious approach to short-term market movements.2. What is Bitcoin futures open interest?Open interest refers to the total number of active Bitcoin futures contracts across exchanges. It helps measure overall participation in the derivatives market.3. Why has Bitcoin futures demand fallen recently?Market volatility, profit-taking after the previous price peak, and global economic uncertainty have encouraged traders to reduce leverage.4. Are institutions leaving the Bitcoin market?Current data does not show a full exit. Institutions continue to invest through Bitcoin ETFs, regulated futures markets, and corporate Bitcoin holdings.5. Could Bitcoin futures demand rise again?Yes. If market confidence improves and Bitcoin price momentum strengthens, traders and institutions may increase leveraged exposure in futures markets again.

Traders are monitoring SUI Dogecoin and BlockDAG because these cryptocurrencies serve as essential market indicators for this week. SUI shows increasing trading strength, which brings it closer to reaching the $1.30 resistance point, but its weekly chart patterns indicate a forthcoming bullish breakout, which will take it to $2.55. Dogecoin price maintains stability between two support levels at $0.088 and $0.090, which provides cautious investors with an opportunity to buy before the market eventually rises. The most exciting story is BlockDAG (BDAG), which now operates on Coinstore, BitMart, and Pionex USA, while customers can exchange it through its official website, and additional international market platforms will arrive shortly. Market makers estimated that short-term prices would reach $0.2 but they anticipate price spikes, which will take the asset to between $0.4 and $0.5 and they predict that the asset will achieve a market cap above $1.2 billion. Early staking could beat Solana’s initial levels while trading volumes may surpass Kaspa or Solana at launch, making BDAG the next big crypto to watch in 2026.SUI Price Outlook: $1.30 Resistance in SightThe price of SUI has started to increase after a period of price compression which usually leads to substantial price increases. The daily MACD shows a bullish trend, with the price approaching the $1.30 resistance level, making this a crucial point for traders. The current situation of SUI resembles past setups, which always resulted in fast price increases because SUI typically moves between two price points.The weekly charts display a developing bullish pennant pattern, which maintains its support while showing a potential breakout target of approximately $2.55. The price needs to break through that point because it will shift market focus toward the previous all-time high of $5.36. The market maintains strong liquidity and active trading because cumulative trading volume exceeds $770 billion, while daily DEX activity reaches $98 million.The SUI price prediction shows positive results because real buying interest starts to develop from hidden market activity, which creates conditions for future price increases. SUI momentum offers traders who monitor the Ethereum price and Cardano price prediction 2026 a valuable opportunity to identify upcoming cryptocurrency market trends.Dogecoin Support Holds Critical GroundThe Dogecoin (DOGE) cryptocurrency market currently exists in a period of price stabilization after traders conducted a liquidity sweep, which eliminated less stable market positions and assessed how strong the market currently stands. The token establishes essential support between $0.088 and $0.090, which permits investors to make purchases safely without causing market panic through sales. Dogecoin price will attract buyers if the support level remains intact because this support will lead to a price increase that reaches $0.114 or above. The technical indicators show that the market faces continuous selling pressure. DOGE currently trades at $0.101, which places it under its 200 SMA while the price creates a pattern of lower highs and lower lows. The RSI reading of 38.7 shows that buying power remains weak, whereas the MACD and red histogram bars prove that selling activity continues. The market faces resistance between $0.093 and $0.096, which requires a market breakthrough through this resistance zone to create a bullish trend for the upcoming days. Dogecoin price currently moves within a consolidation pattern, which will only permit price increases when buyers successfully regain market dominance. Investors who monitor Ethereum price movements and anticipate Cardano price predictions for 2026 should examine DOGE together with SUI and BDAG, as they will shape the upcoming cryptocurrency market.BlockDAG Trading Goes Live: Strategic Opportunity!BlockDAG has officially launched, with trading available now on Coinstore, BitMart, Pionex USA, and through direct swap on the BlockDAG website, with additional global exchanges preparing listings. Analysts suggest that this launch could propel BDAG to a top 50 market cap, exceeding $1.2 billion, as adoption grows. Short-term forecasts indicate $0.2 is achievable quickly, with potential moves to $0.4 and even $0.5. Staking activity could outperform early Solana, and exchange and DEX reports indicate trading volumes might surpass early Kaspa or Solana activity. With Mainnet fully live, technical risks have been mitigated, and the network is processing transactions efficiently, offering buyers transparency in real-world conditions. The system can handle up to 10,000 TPS, and initial demonstrations show impressive speed and reliability. Analysts expect post-launch demand to push BDAG prices higher as adoption spreads. Wallet numbers are growing, supply is tightening, and more exchanges are preparing listings. For those seeking the next big crypto, BDAG’s combination of speed, reliability, and upside potential creates a rare opportunity. Investors moving quickly could see substantial returns before open-market dynamics fully set the price.Final ThoughtsSUI and Dogecoin remain at pivotal levels, offering clear signals for traders. SUI price prediction targets $1.30, with potential to break out toward $2.55, and a surge could even test the old high of $5.36. Dogecoin price consolidates near $0.088–$0.090 support, with a move above $0.096–$0.101 signaling renewed bullish momentum.Meanwhile, BlockDAG (BDAG) stands out as the next big crypto to watch. The Mainnet has launched, and BDAG now operates its trading services on Coinstore, BitMart, and Pionex USA, and its own website. The speed, staking potential, and adoption of BDAG create a unique opportunity for investors.Market forecasts show short-term prices reaching $0.2, with upside to $0.4–$0.5 and top 50 market cap potential above $1.2 billion. For investors tracking Ethereum price or Cardano price prediction 2026, BDAG represents a high-potential addition to any crypto portfolio.Website: https://blockdag.networkTelegram: https://t.me/blockDAGnetworkOfficialDiscord: https://discord.gg/Q7BxghMVyu

Overview:Big data analytics helps turn massive amounts of big data into useful insights for better decision-making.Processes like data cleaning and advanced data tools improve data quality and make analysis more accurate.Cloud computing platforms allow organizations to store and analyze large datasets quickly and efficiently.Modern-day technology generates huge amounts of data every second. Online shopping, mobile apps, social media, websites, and smart devices all produce information continuously. This large amount of information is called big data, and studying this data to find useful patterns and insights is big data analytics. Businesses and organizations can use this method to understand their workflows and customers and make better decisions.Understanding Big DataBig data is an extremely large collection of information that grows quickly and comes from many sources. This data may include customer records, social media posts, videos, images, transaction details, website clicks, and machine-generated logs. Regular data systems usually cannot handle this scale of information efficiently.Big data has 3 important characteristics: Volume: A massive amount of data needs processing. Variety: Data exists in various formats, such as text, images, and videos.Velocity: The speed at which data is generated and processed. Big data is complex and requires special technologies to analyze it.Also Read: Are Tier-2 Asian Cities the Next Big Hotspot for Edge Data Centers?How Big Data Analytics WorksBig data analytics works in a few simple steps.Data Collection: Data is collected from sources like websites, mobile apps, sensors, and databases.Data Storage: The data is extremely large and is stored in systems like cloud storage or big databases.Data Cleaning: Errors, duplicate data, and missing values are removed to increase the accuracy.Data Analysis: Analysts use tools like machine learning and statistics to find data patterns and trends.Data Visualization: They can show results through charts, graphs, or dashboards so people can understand the information easily.Technologies Used in Big Data AnalyticsMany modern technologies support big data analytics.Many modern technologies support big data analytics.Analysts can use distributed computing to process large amounts of data on multiple computers. They can depend on cloud computing for online storage and computing power, and save on machine expenses.Big data tools like machine learning help analyze data quickly. Computers use ML to learn from previous data and make better predictions. Visualization tools can turn data into simple charts and graphs, making it easier to understand.Why Big Data Analytics MattersBig data analytics helps organizations make better decisions using large amounts of data.Businesses use it to understand what customers like, improve products, and create better marketing plans. For example, retail stores study shopping patterns to recommend products and manage their stock.In healthcare, doctors and researchers use data to learn more about diseases and improve treatments. Banks use it to identify fraud and manage risks, while governments use data to improve traffic and public services.These use cases highlight the importance of big data analytics across industries.Challenges of Big Data AnalyticsDespite its advantages, big data analytics also has some issues. Managing large amounts of data requires high-end infrastructure and skilled professionals. Data privacy and security are also important concerns as personal information must stay protected.Organizations must follow proper rules and ethical practices when collecting and analyzing data. Good data management helps ensure that information is used responsibly.Also Read - How Drinksworld Leverages Big Data and Analytics to Drive Business GrowthFinal ThoughtsBig data analytics helps transform large amounts of information into useful knowledge. You can get valuable insights from complex datasets through data collection, storage, data cleaning, and advanced analysis. These insights help businesses, governments, and organizations make better decisions and improve services.FAQs1. What is Big Data Analytics?Big Data Analytics is the process of examining large and complex datasets to find patterns, trends, and useful insights.2. Why is Big Data important for businesses?Big Data helps organizations understand customer behavior, improve services, and make data-driven decisions.3. What is Data Cleaning in Big Data Analytics?Data Cleaning is the process of removing errors, duplicates, and incomplete information from datasets to improve accuracy.4. Which tools are used in Big Data Analytics?Many Data Tools, such as Hadoop, Spark, and analytics platforms, help process and analyze large volumes of data.5. How do Cloud Computing Platforms support Big Data?Cloud Computing Platforms provide scalable storage and powerful computing resources to handle large datasets without heavy infrastructure costs.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

OverviewModern cloud systems generate massive telemetry data, requiring observability platforms for real-time performance monitoring today.Observability tools combine logs, metrics, and traces to diagnose failures across distributed cloud infrastructure.AI-driven analytics and Kubernetes support define the most effective observability platforms.Cloud infrastructure has grown far more layered than it was half a decade ago. Applications now run across containers, microservices, APIs, and multiple cloud providers. When something fails, the cause is rarely limited to a single component.Observability tools help teams connect the dots between logs, metrics, and traces, allowing engineers to understand what is happening inside complex systems. These platforms have moved from optional monitoring tools to essential infrastructure for running reliable cloud services.Why is Datadog One of the Most Widely Used Observability Platforms?Datadog continues to lead the observability market by keeping monitoring tools within a single unified platform. Instead of juggling separate tools for infrastructure monitoring, logs, and application performance, teams can track everything from one interface. This consolidated view often makes troubleshooting faster and operations more manageable.How is Dynatrace Using AI to Simplify System Monitoring?Dynatrace has earned much of its reputation for automation capabilities. Its Davis AI engine analyzes telemetry data and identifies service dependencies before anomalies occur. For enterprises dealing with a microservices architecture, automation of root cause analysis can save engineers plenty of time in tracking performance issues.Can New Relic Truly Bring Telemetry Data Under One Roof?New Relic has evolved into an observability platform that focuses on telemetry data. The system operates by gathering all metrics, logs, traces, and user experience data into a central database, which enables teams to monitor complete system performance. Engineers receive alerts with information about ongoing activities across all distributed applications.Why does Grafana Stack Remain Favourite Among DevOps Teams?Open-source flexibility keeps the Grafana stack highly relevant. When paired with tools like Prometheus, Loki, and Tempo, Grafana allows teams to build customized observability pipelines without locking themselves into a single vendor. Control over the monitoring stack is a major advantage for DevOps teams running Kubernetes or container-based workloads. How does Splunk Observability Cloud Address Enterprise-Scale Monitoring?Large organizations generate enormous volumes of operational data every second. Splunk Observability Cloud is designed to help organizations understand and manage data at that scale. It analyzes high-cardinality telemetry data in real time, helping operations teams monitor thousands of services while quickly identifying performance bottlenecks across distributed systems.Also Read: Top 10 Cloud Consulting Companies in 2026What Makes Elastic Observability Particularly Effective for Troubleshooting?Elastic’s strength lies in search. Built on the ELK Stack, Elasticsearch, Logstash, and Kibana, the platform allows engineers to dig through massive datasets and connect different signals quickly. When outages occur, the ability to correlate logs, metrics, and traces often speeds up investigations significantly.Why are Developers Increasingly Turning to Honeycomb?Honeycomb is built to solve developer needs. Engineers use interactive telemetry data analysis to investigate system behavior instead of depending on static dashboards. The event-driven system enables teams to discover performance problems that exist within their distributed systems.How does AppDynamics link application performance with business outcomes?AppDynamics establishes a connection between application performance and business outcomes. The research conducted by the platform examines the relationship between technology usage and business performance metrics. It enables organizations to monitor application transactions and user journeys, which helps them understand how performance issues affect their customer experience. Technical systems monitoring establishes essential business connections for enterprises that face revenue losses during operational interruptions.Why are Cloud-Native Observability Platforms Like Sumo Logic Gaining Traction?Sumo Logic was designed from the ground up for cloud environments. Delivered entirely as a SaaS platform, it collects logs, metrics, and security signals from distributed infrastructure. This cloud-native model offers a simpler operational path for companies that want strong observability without managing additional monitoring systems.Can Chronosphere Help Manage Observability at Kubernetes Scale?Chronosphere targets environments with rapidly expanding telemetry data, particularly Kubernetes systems built on Prometheus metrics. The platform helps organizations manage large-scale operations while keeping observability costs under control. This balance between visibility and cost efficiency matters for teams running large microservices ecosystems.Also Read: Amazon Cloud Outage in UAE After Data Center Strike Forces Power ShutdownWhy does Observability Matter More Than Ever Today?Modern applications now operate at a scale where failures are difficult to detect. Issues occur due to hidden interactions between services, APIs, and infrastructure components. Engineers use observability tools to monitor systems as they provide them with real-time system visibility. Companies require the knowledge they obtain from their cloud service usage because it helps them achieve operational stability and digital service performance.ConclusionCloud observability has shifted from a niche DevOps practice to a core operational requirement. The development of distributed systems requires organizations to acquire appropriate tools that help them monitor system performance. The platforms listed above reflect how the observability ecosystem is evolving, balancing automation, open-source flexibility, and enterprise-scale analytics. Organizations that build cloud-native systems must choose their observability strategy because it helps them monitor and control their complex digital systems.You May Also LikeGenerative AI Rollout Exposes Hidden Risk in Google Cloud API KeysData Centres Get 2047 Tax Holiday: India's Cloud Race Against ChinaHow Does Cloud Computing Impact the Digital Economy?FAQs1. What is cloud observability?Cloud observability refers to monitoring systems using metrics, logs, and traces to understand performance, detect anomalies, and troubleshoot issues.2. How is observability different from traditional monitoring?Traditional monitoring tracks predefined metrics. Observability analyzes metrics, logs, and traces together, helping engineers explore unknown problems across distributed systems.3. Why are observability tools important for cloud-native applications?Cloud-native systems use microservices and containers. Observability tools help track dependencies, detect failures quickly, and maintain performance across distributed environments.4. Are open-source observability tools reliable for enterprises?Yes, many enterprises use open-source stacks like Grafana and Prometheus because they offer flexibility, strong community support, and customizable monitoring capabilities.5. Which industries benefit the most from cloud observability tools?Industries running large digital platforms—finance, e-commerce, SaaS, gaming, and streaming—depend heavily on observability tools to ensure uptime and user experience.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

What happens when strong momentum, market speculation, and real fundamentals converge at the same time? Early March may reveal the answer as traders closely watch volatility rise and capital shift quickly between major altcoins.The Polkadot price is drawing interest after a 41% rally supported by a 530% spike in trading volume and a planned 50% supply reduction. Meanwhile, the Pippin price prediction is gaining traction as the token records a 73% surge, a 50% increase in open interest, and technical targets reaching toward $2.06.At the same time, attention is steadily shifting toward BlockDAG (BDAG). The project has already launched with working infrastructure and is now trading across multiple platforms. As liquidity expands and adoption grows, many traders are closely monitoring BDAG’s next phase in the broader market cycle.Polkadot Price Shows Strength After 41% BreakoutThe Polkadot price recently climbed 41%, breaking out from a long-standing triangle formation and reaching $1.75 before slightly cooling. During the move, trading volume surged by 530%, while an upcoming 50% supply cut planned for March 2026 and growing holder numbers above 50M continue to reinforce bullish sentiment. If the structure remains intact, analysts believe the Polkadot price could test the $2.00 level again as altcoin rotation continues.Network activity currently shows mixed signals. Daily transactions declined from 1,030 to 106, although long-term fundamentals remain relatively positive. Analysts suggest the Polkadot price may reflect early signs of a broader altcoin-season recovery, though the possibility of a bear-market pullback still exists.Pippin Price Prediction Points Toward 300% PotentialRecent market activity has strengthened the Pippin price prediction, with the token rising 73% since February 18 and breaking out from a cup-and-handle formation. At the same time, open interest increased nearly 50%, while funding rates declined from 0.115% to 0.004%, indicating demand driven more by spot interest rather than leveraged speculation. Exchange inflows also dropped 90%, and CMF moved into positive territory, suggesting accumulation by larger investors.From a technical standpoint, this structure points to targets around $0.92 and $2.06, with overall potential exceeding 300%. Strong derivatives participation, declining sell pressure, and continued smart-money accumulation all support the current Pippin price prediction, although risks remain if Bitcoin weakens or funding rates rise again.BlockDAG Trading Expands as Market Interest AcceleratesMany investors constantly search for the best crypto to buy right now, especially when a project transitions from development into live market activity. BlockDAG has now reached that phase with trading already underway across several exchanges.BDAG is currently available on Coinstore, BitMart, and Pionex USA, while users can also access direct swaps through the BlockDAG website. Additional global exchanges are reportedly preparing listings, including potential major tier 1 platforms and US exchanges, which could significantly expand liquidity and visibility.Market makers have released early projections suggesting the price could reach $0.2 in the very short term, with potential moves toward $0.4 and even $0.5 if market demand continues rising. Analysts also note that BDAG could eventually reach a top 50 market cap ranking if the project surpasses a valuation of $1.2 billion.Additional indicators suggest strong ecosystem activity. Early estimates show BDAG staking participation may exceed levels seen during Solana’s early development phase. Reports from exchanges and DEX analysis also indicate trading volumes could surpass those recorded during the early growth stages of Kaspa or Solana. Some projections suggest BDAG could 100x or even more after launch if adoption expands quickly.These factors are pushing many analysts to consider BDAG when evaluating the best crypto to buy right now, especially as new exchange listings continue to appear.Final ThoughtsBoth Polkadot and Pippin enter March with measurable momentum that strengthens their market narratives. The Polkadot price has already advanced 41%, supported by a 530% rise in trading volume, a planned 50% supply reduction, and holder growth above 50M. At the same time, the Pippin price prediction continues gaining traction after a 73% rally, a 50% jump in open interest, a 90% drop in exchange inflows, and technical targets extending toward $0.92 and $2.06.BlockDAG, however, presents a different type of opportunity. With trading already live on Coinstore, BitMart, and Pionex USA and direct swaps available through its website, the project is entering the market with functioning infrastructure and expanding liquidity. Market maker projections pointing toward $0.2 in the short term and possibly $0.4 or $0.5 have also increased market interest.Analysts suggest that if adoption accelerates and more exchanges list BDAG, the project could approach a top 50 market capitalization above $1.2 billion. Combined with strong staking projections and trading volumes expected to exceed early Kaspa or Solana levels, BDAG is increasingly appearing in discussions about the best crypto to buy right now as the next stage of the market cycle unfolds.Website: https://blockdag.networkTelegram: https://t.me/blockDAGnetworkOfficialDiscord: https://discord.gg/Q7BxghMVyu

Meta Ray-Ban smart glasses have come under scrutiny following reports that private recordings and personal moments may have been exposed. Experts are urging users to review privacy settings and device permissions to protect their data.What Happened With Meta Ray-Ban Smart Glasses?Meta’s Ray-Ban Smart Glasses are under the spotlight after an investigation by Swedish media outlets revealed that the user data, such as private videos recorded using them, may not remain ‘private’.The investigation found that a Kenya-based Meta subcontractor had access to intimate and disturbing videos taken by glasses wearers. This includes explicit content and even personal information like bank account details.How the Smart Glasses Capture and Store Personal ContentThe publication revealed that many of the videos were used for data labeling, which is a method to train AI models. It further confirmed that the users weren't aware about recorded material.Pavan Karthick M, a Threat Researcher at Bengaluru-based cybersecurity firm CloudSEK, said: “Especially for things like these, Ray-Ban glasses, there is much more data that goes into that, because you're wearing it all the time. It can hear what you speak, and it can also see what you see. They try to collect as much data from you as possible in terms of usage statistics and how the device is working.”The revelations have sent shockwaves across users and regulators regarding data privacy.What Users Should Do ImmediatelyKarthick urged users to opt out of cloud storage. “Users have an option to disable cloud processing and restrict data sharing by opting out. While cloud processing saves you storage, it also gives Meta the opportunity to use the data for training purposes. This could be anything, like intimate videos, all public videos that aren't supposed to be captured by Ray-Ban or Meta, to which some contractor in Nairobi could also gain access,” he said.While Meta Ray-Ban glasses may not record videos accidentally, they are still listening to what you say the whole time.These are the safe practices for Meta Ray-Ban glass users:Disable unnecessary data sharing and voice storage right awayThink twice before capturing anythingDelete old recordings manuallyOpt out of AI training feedsAlso Read: Zuckerberg’s Meta Ray-Ban Glasses Fail During Live Demo: Was Wi-Fi Really to Blame?The Bigger Picture: Privacy Risks in AI WearablesMeta, the parent company of Facebook, Instagram, and WhatsApp, has a long history of not being upfront about how and what data they collect about users and how it is used.Prashant Mali, a Cyber and Privacy lawyer at Bombay High Court, pointed out that Meta’s privacy policies have several loopholes.“Meta’s privacy policies fall woefully short of providing robust safeguards for user data, as they are permeated with loopholes that favor the company’s AI ambitions over genuine protection,” Mali said.According to the researchers, it is up to the user to be vigilant about what they record and share using the Meta Ray-Ban glasses.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

The One Chicago crossover has received a mixed response from the audience. While Jesse Lee Soffer and Tracy Spiridakos made a comeback, Jay Halstead and Hailey Upton’s future is still unclear. NBC organized a unique event that brought together Firehouse 51, Intelligence, and Gaffney Medical to kick off the second half of their 2025-26 network TV schedule.Deadly Blast Rekindles a 25-Year-Old Chicago MysteryThe best first responders in the Windy City were confronted with an enigmatic place accident that claimed numerous lives. What was initially described as a terrorist act turns out to be connected to the events that occurred in the city 25 years prior, involving Dom Pascal, Sharon Goodwin, and Hank Voight.Compared to the 2025 One Chicago crossover, the 2026 model was a major advancement. The three-part ‘Reckoning’ concluded the NBC/Wolf Entertainment series in a more polished, captivating, and superior manner.One of its main draws, aside from the case and different pairings, is the reunion of Upton and Halstead after a contentious divorce. Although their fate is still unknown after the conclusion of the 2026 One Chicago crossover, there are indications of what lies ahead for them.Halstead’s Exit Left Upton Hurt And Searching For ClosureAs one of the founding cast members of One Chicago, Soffer was crucial to the show’s early development. Spiridakos was already a well-known character in the series when he was first presented and included in Voight’s Intelligence. When it was revealed that he was departing the program during the tenth season, the writers had to come up with a reason for his departure.Halstead’s departure from Chicago PD season 10 was upsetting since, regrettably, most of his behaviours leading up to his leaving were out of character. Furthermore, he did assure Upton that he would return for her eventually.Rather than fulfilling his commitment, he continued to drag her along before abandoning her. Upton suffered greatly as a result, and she ultimately made the decision to leave in pursuit of a new beginning.Former Partners Confront Feelings Amid High-Stakes InvestigationFor the first time since Halstead’s departure, Upton and Halstead reconnected in the 2026 One Chicago crossover. Both characters showed persistent feelings for one another despite Upton’s efforts to keep their distance.They had a quick chat while investigating leads throughout Chicago and reestablishing contact with their former colleagues, thinking back on their past.Halstead confessed his weaknesses, admitted he regretted losing himself while working with Intelligence, and confessed that he stayed in Chicago for her. This prompted Upton to say that she would make things right by offering to buy Halstead a drink.Also Read: Best Movies of the 21st Century That Changed Modern CinemaOne Chicago Crossover Ending Explained: Did Halstead Finally Redeem Himself?The continuous difficulties between Upton and Halstead are brought to light by the 2026 One Chicago crossover. It's unclear if Halstead's apology to Upton would be sufficient to mend their relationship, even though it shows that he is aware of the suffering he caused.Even if Halstead's existential issues contributed to their breakup, he needs to do more than just repent to win Upton back, especially in light of his prior broken commitments. His desire to spend more time with her is an indication of a possible change, but trust must be restored.In the end, it's a wonderful farewell for Spiridakos and Soffer, maybe more so for him than for her, assuming this is their final appearance together in One Chicago. It would be difficult to find anyone who would oppose their return if NBC and Wolf Entertainment decide to do so.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Saving your trading password on a browser may feel convenient, but it could expose your investments to serious cyber risks. Here’s why experts strongly advise against it.Auto-Fill Can Be Exploited: Many browsers automatically fill saved passwords, which hackers can exploit through malicious scripts or phishing pages.Lost Device = Instant Access: If your phone or laptop gets stolen, saved passwords may allow someone to access your trading account instantly.Malware Can Extract Saved Passwords: Certain malware programs are designed to steal saved browser passwords, putting your trading funds at risk.Shared Devices Increase Risk: Using shared computers or office systems with saved passwords makes it easier for others to access your account.Browsers Aren’t Built for Financial Security: Browsers prioritize convenience, not high-level financial security like dedicated password managersPhishing Sites Can Steal Credentials: Fake trading websites can trick your browser into auto-filling login details, allowing hackers to capture them.One Breach Can Drain Your Portfolio: If hackers gain access to your trading account, they could sell holdings, transfer funds, or manipulate trades.Use These Safer Options Instead: Enable two-factor authentication, use a secure password manager, and always log in manually for trading apps.Read More StoriesJoin our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Overview:The inverter air conditioner market in India offers a range of options from top brands. They deliver efficient performance while remaining budget-friendly.   Blue Star A Series 2.5 Ton 3 Star Inverter Split AC is one of the best choices in delivering power-packed performance under a budget.The list is curated based on multiple factors, including convertible mode, smart features, voltage range, and noise level.Summer is just around the corner, and it's time to cool down the temperature with the best-selling inverter air conditioners in the market. Here is a specially curated list of ACs that are tried and tested. Let’s take a look at the most-loved air conditioner brands of 2026. The prices on the list reflect those on 5 March 2026 and are subject to change. Best Inverter ACs Of 2026Get an inverter AC for the summer of 2026 that delivers long-lasting cooling at a budget price. Here is a detailed list of the best options that suit your needs:Also read: Best Split & Window ACs Under Rs. 30,000: Tested by Our TeamBlue Star A Series 2.5 Ton 3 Star Inverter Split ACPrice: Rs. 34,990This model comes with an in-built Wi-Fi module, ensuring the AC can be used from any corner of the room. It has a capacity of 1.5 tons and is ideal for medium-sized rooms. The AC features seven intelligent digital sensors. These, along with an advanced microcontroller, offer precise cooling.Key features:Can operate by voice command with Amazon Alexa and Google AssistantHexa Inverter TechnologyBuy nowLG 1.5 Ton Smart Inverter Split ACPrice: Rs 35,990LG’s smart inverter split AC delivers rapid chilling with maximum power savings. It features a high-efficiency compressor that delivers a reliable, long-lasting, and quiet cooling experience. It has a cooling capacity of 4,400W and an ambient temperature of 55 degrees Celsius. Key features:Two-way air swingAI convertible 6-in-1modes Buy nowSamsung Bespoke AI Inverter Split ACPrice: Rs. 40,490The Samsung AI Inverter Split AC comes with Wi-Fi and voice control. It offers 30% extra energy savings with its AI energy mode. It comes with multiple connectivity options, including Alexa, SmartThings app, Google & Bixby.Key features:Five-step convertibleFour-way swingBuy nowLloyd 0.8 Ton Inverter Split ACPrice: Rs 23,990The Lloyd inverter split AC features a variable-speed compressor that automatically adjusts power consumption based on the heat load and room temperature. It also has Golden Fins Evaporator copper coils that help deliver better cooling performance and deliver four-way air swing.Key features:Cools even at an ambient temperature of 52°C Stabilizer-free operation within a 140-280 voltage rangeBuy nowGodrej 1.5 Ton AI-Powered Inverter Split ACPrice: Rs  29,490This Godrej model is a 5-in-1 convertible split AC with an inverter compressor. It operates at a cooling capacity of 40% to 110%. It also comes with a 100% copper condenser, an anti-freeze thermostat, and an R32 refrigerant.Key features:Annual energy consumption of 951.91100% copper evaporator with hydrophilic blue fins Buy nowCruise 1 Ton Inverter Split ACPrice: Rs 23,990The Cruise inverter split AC uses variable-tonnage technology to deliver faster cooling. It also features a cooling capacity of 3,450W and a two-way swing. It has a 100% Hi-grooved copper condenser and runs on four fan speed modes. Key features:A copper coil that requires low maintenance 7-in-1 modes with PM2.5 air filtersBuy nowTop Inverter Air Conditioner: Buying TipsWith the top brands offering multiple user-friendly features, it is difficult to make the final buying decision, even with a detailed list like the one given above. Given below are the important factors that need to be considered before choosing the best AC for your needs:Capacity based on room size Energy efficiency (Star Rating)Convertible and smart featuresVoltage rangeNoise levelThough buying an inverter air conditioner can be a tough decision, with the above list and the key factors to consider, you can get the best cooling experience during the summer of 2026. Also read: Beat the Heat: LG & Carrier AC Weekend Deals on AmazonFAQsWhat is an inverter air conditioner?Ans: An inverter AC is an air conditioner that uses a variable-speed compressor motor and not a fixed-speed one.Which are the top brands for inverter AC?Ans: The top brands for inverter AC include LG, Samsung, Godrej, and Lloyd.What are the features that one needs to keep in mind while buying an AC?Ans: While buying an inverter air conditioner, keep the following tips and recommendations in mind. They are convertible mode, smart features, voltage range, and noise level.Why is copper coil the best for air conditioners? Ans:  An air conditioner with a copper coil requires low maintenance. It also offers you better cooling.Which is better: Samsung or Blu Star?Ans: According to popular choices, Samsung is more preferred over Blu Star. The Bespoke AI by Samsung offers you Wi-Fi and Voice control. It also has other AI-powered features.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Overview:Indian Institute of Management Indore leads the IPM space with strong placements, legacy advantage, and a trusted alumni network.Indian Institute of Management Rohtak and Indian Institute of Management Ranchi offer competitive alternatives with solid placement outcomes.Choosing the right IPM depends on brand value, placement records, curriculum style, and long-term career goals.Students don’t have to wait until graduation to build a career in business management. The Integrated Program in Management (IPM) has opened a direct path to India’s top business schools right after Class 12. Many students now plan early and aim for an IIM seat at the age of 17 or 18.Each institute has its own teaching style, fee structure, entrance exam, and placement record. A careful comparison helps in understanding which one truly stands at the top.Understanding the IPM StructureIPM is a five-year dual degree program. The first three years focus on building strong basics in mathematics, statistics, economics, humanities, and communication. The last two years merged with the MBA batch of the same IIM. Students complete the program with a bachelor’s degree and an MBA.This structure gives stability and clarity. Students do not need to prepare for the CAT later. They stay within the same institute for five years and move directly into the MBA phase if they meet academic standards.The Pioneer and Market Leader: Indian Institute of Management IndoreThe Indian Institute of Management Indore is a leading educational center that offers the IPM course. It introduced the IPM in 2011 and became the first IIM to start this format. This early launch helped build strong alumni support and recruiter trust over the years.The IIM Indore IPM divides the course into two clear phases. The foundation phase includes subjects such as calculus, statistics, microeconomics, macroeconomics, psychology, sociology, and communication skills. Students also complete a social internship after the second year. The management phase includes finance, marketing, operations, strategy, and analytics alongside regular MBA students.Placements make Indore stand out strongly. Average salary packages generally range between Rs. 25.68 lakh and Rs. 30 lakh per year. The highest packages have crossed Rs. 1 crore in recent batches. More than 150 recruiters visit the campus, including leading consulting firms, global banks, and technology companies. The strong alumni network supports placements and mentorship.The selection process also reflects high standards. The IPMAT exam for Indore tests quantitative ability through its combination of multiple-choice questions and short-answer questions, together with verbal ability. Sectional cut-offs ensure balanced performance. The competition remains fierce because more than 1000 applicants vie for approximately 150 available seats.Also Read: Top DSA Courses for 2026: Learn Data Structures and AlgorithmsA Competitive Alternative: Indian Institute of Management RohtakIndian Institute of Management Rohtak also offers the IPM program. It conducts its own IPMAT exam. The paper focuses on speed, accuracy, and logical thinking. Rohtak also gives weight to Class 10 and 12 marks during selection.The curriculum at Rohtak introduces management subjects early. Students study business-related courses from the beginning. This appeals to those who prefer a strong business focus instead of a broader liberal arts approach.Average IPM placements at Rohtak usually range between Rs. 18 lakh and Rs. 20 lakh per year. The location near Delhi NCR gives students good exposure to corporate internships and networking.A Balanced Learning Model: Indian Institute of Management RanchiIndian Institute of Management Ranchi accepts IPMAT Indore scores for admission. The program blends management with social sciences and liberal studies. Students explore diverse electives and complete social engagement projects.Average salary packages remain around Rs. 18 lakh to Rs. 19 lakh per year. The program suits students who prefer academic variety along with management training.Emerging and Promising OptionsIndian Institute of Management Shillong offers a modern curriculum aligned with current education frameworks. Placement averages in combined programs have touched around Rs. 26 lakh per year. The institute also provides multiple exit options after one, two, or three years.Indian Institute of Management Jammu selects students through the JIPMAT exam. The focus remains on quantitative learning and entrepreneurship. Average salary packages range between Rs. 16 lakh and Rs. 17 lakh per year, and campus facilities continue to improve.Comparing the Key FactorsBrand value plays a major role in long-term career growth. Placement numbers show market trust. Alumni networks create strong industry connections. Entrance exam difficulty reflects the quality of the peer group. When these factors come together, Indore maintains a visible advantage.Rohtak and Ranchi provide strong alternatives with competitive results. Shillong and Jammu show steady progress and growing placement figures. Each campus has its own strengths, yet Indore continues to lead across most performance areas.Also Read: Top CISM Certification Courses 2026: Learn and Advance Your CareerFinal WordsSelecting the right IIM for IPM is an important decision. A five-year journey shapes knowledge, personality, confidence, and career direction. Students must look at long-term outcomes instead of only short-term comfort. Placement records, academic strength, and alumni support play a major role in career growth.After comparing every major factor, the Indian Institute of Management Indore clearly stands as the best IIM for IPM in India. Its strong legacy, consistent IPM placements, and respected brand name create a solid foundation for future leaders. Other IIMs offer quality education and strong growth opportunities, yet Indore continues to lead with trust, results, and long-standing excellence.You May Also Like:Top PyTorch Courses for Learning in 2026Top Free Online Java Courses for All Users in 2026Best Advanced Excel Courses in India in 2026: Top 10 PicksFAQs Which is the best IIM for IPM?Ans. Based on placements and average salary, the Indian Institute of Management Indore is considered the best IIM for IPM. It offers a 5-year BA+MBA program with an average package of Rs. 25–28 LPA, higher than Rohtak, Ranchi, and Jammu, making it the top choice.Which IIM has 100% placement?Ans. Many top IIMs consistently achieve 100% placements for flagship MBA programs, including Indian Institute of Management Ahmedabad, Indian Institute of Management Bangalore, Indian Institute of Management Calcutta, Indian Institute of Management Kozhikode, Indian Institute of Management Lucknow, and IIM Indore, showing strong recruiter demand.Which IIM has the lowest fees for IPM?Ans. Among IIMs offering IPM, the Indian Institute of Management Rohtak and IIM Bodh Gaya have the lowest fees, around Rs. 25–30 lakh for the full program. This makes them relatively more affordable compared to Ranchi and Jammu.Which is better for IPM, IIM Rohtak or IIM Indore?Ans. Between the two, IIM Indore is generally better due to higher NIRF ranking, a stronger alumni base, and average placements of Rs. 25–28 LPA. IIM Rohtak offers good campus life and Rs. 18–20 LPA packages, but Indore leads in ROI.Does JP Morgan hire from IIM Indore?Ans. Yes, JPMorgan Chase & Co. regularly hires from IIM Indore for finance roles like investment banking, corporate finance, and equity research. It is a consistent recruiter during final and summer placements.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

US stocks and oil-linked equities face renewed pressure as crude prices rise again during the ongoing US-Iran war. Energy shares have posted strong gains this year, but recent sessions show signs of weakness. Analysts now warn that the same factors that lifted oil equities can also drive further declines. The current setup links oil prices, sector rotation, and geopolitical risk to short-term market direction.Rising Oil Prices Pressure US Stocks and SentimentUS stock futures moved lower on Thursday morning as crude oil prices climbed. Futures tied to the Nasdaq 100, S&P 500, and Dow Jones Industrial Average all traded in negative territory before the open. At the same time, US WTI crude futures rose sharply to around $76.81, while Brent crude moved above $83.The move in oil has kept investors focused on inflation and growth risks. Higher energy prices can raise transport and production costs across the economy. They can also reduce household spending power as fuel prices rise. This combination often weighs on equity markets, especially when investors expect central banks to keep interest rates higher for longer.During the prior session, US equities had rebounded as market anxiety briefly eased. Technology and semiconductor stocks led that recovery, with several chipmakers posting strong gains. However, the fresh rise in crude prices has again shifted attention toward energy costs and war-related uncertainty.Bernstein Outlines Three Reasons Oil Equities Could FallBernstein analyst Bob Brackett said oil equities have gained this year for three main reasons: their sensitivity to oil prices, investor rotation into the sector, and geopolitical risk premiums. He also said those same forces can reverse and push the sector lower.The first risk is demand destruction. Brackett said this happens when oil becomes expensive enough to slow consumption and hurt economic activity. He noted that oil cycles often peak when energy costs absorb about 6% of global GDP. He added that current levels remain below that threshold, with the figure closer to 4%.Brackett also said that when oil costs move above 5% of global GDP, oil prices one year later have often turned negative. Oil-linked equities usually follow that pattern. For now, Bernstein sees limited evidence of immediate demand destruction, but the firm still views this level as an important warning signal.The second risk is sector rotation. Bernstein said recent gains in energy stocks partly came from investors shifting capital away from technology. Concerns about AI-related positioning and valuation helped make the oil sector look more attractive at lower entry prices. Brackett warned that this trend could reverse if investors return to tech and growth names.Also Read: How to Analyze Stock Price Moves Following the US-Israel Strike on Iran?Geopolitical Risk Premium Remains a Key DriverThe third risk involves geopolitical premiums. Bernstein said conflict-related pricing support can remain in place for weeks or months. As long as uncertainty persists, oil and oil-linked equities may continue to benefit from that premium.However, a durable easing in tensions could remove a key source of support for energy shares. If that happens while sector rotation reverses, oil equities could face a sharper pullback. This risk matters even if crude prices remain elevated for a period.Investors are still tracking three key drivers: crude oil prices, sector money flows, and changes in the US-Iran conflict. Based on Bernstein’s view, oil stocks could remain volatile through 2026 despite strong gains earlier this year.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

The crypto market rewards conviction, but it respects structure above all else. Projects that enter the market with noise tend to exit with silence. The ones that arrive with architecture,  real liquidity, coordinated access, and measurable demand,  tend to stick around long enough to reward the traders who recognized the difference early.BlockDAG appears to belong to the second category. And after its March 5, 2026, debut, the early evidence is becoming difficult to dismiss.An Entry Unlike Anything the Market Has WitnessedBDAG launched simultaneously across Coinstore, LBank, BitMart, Pionex USA, and its native Direct Swap portal,  five global platforms opening at the same moment to traders spanning the US, Asia, and international markets. That is not a standard listing strategy. Most Layer 1 projects spend months negotiating a single exchange placement. BlockDAG orchestrated five at once and turned its first hour of public trading into a synchronized global event.The $0.05 launch price held across every platform without fracture. No immediate sell-off. No fragmented price discovery between exchanges. A clean, uniform floor established under the weight of simultaneous global demand. For traders assessing the top crypto to buy based on how a project conducts its entrance rather than how loudly it announces one, this is the kind of structural composure that separates signal from noise.Early Metrics That Deserve Serious AttentionArchitecture means little without performance to follow. The early data out of BDAG's opening sessions has provided exactly that. Trading volumes across its live platforms are already surpassing the comparable opening periods of both Kaspa and Solana,  two projects that went on to define entire market cycles. Staking activity is outpacing early Solana levels, meaning circulating supply is contracting faster than what the market has historically seen from an L1 at this stage.The mechanics here are worth understanding clearly. Elevated volume paired with accelerating supply removal creates sustained directional pressure. It is not sentiment. It is a structural imbalance between capital flowing in and tokens available to absorb it.Market makers who modeled the launch dynamics have identified $0.20 as the near-term price target, with $0.40 and $0.50 as the subsequent levels under active observation. The distance between $0.05 and $0.20 represents a 300% spread,  one that narrows with every session as available supply at the floor continues to thin.The Institutional Threshold That Changes EverythingBeyond the near-term price trajectory, there is a larger structural catalyst embedded in BDAG's cycle roadmap. The project's stated target is a $1.2 billion market cap,  a figure that would place it inside the global Top 50 by valuation.That ranking carries mechanical consequences. Crypto-focused index funds, algorithmic portfolio rebalancers, and ETF products operate on threshold-based inclusion models. Once a token establishes itself within the Top 50, it becomes eligible for automatic allocation from institutional vehicles collectively managing billions in capital. These allocators do not evaluate narratives. They respond to rank. The moment the threshold is crossed, the inflow begins,  indifferent to sentiment, driven entirely by structure.Identifying the top crypto to buy ahead of an institutional catalyst of this magnitude is precisely the kind of positioning that distinguishes informed early participation from reactive chasing.The Largest Catalyst Has Not Yet ArrivedWhat makes the current data particularly compelling is the context surrounding it. Every volume record being set, every staking milestone being reached, is occurring without a single Tier 1 US exchange listing in place. Pionex USA is live, but the platforms that carry the deepest concentration of American institutional and retail capital,  the listings that historically act as multipliers for tokens already demonstrating momentum,  remain ahead on the roadmap.Each additional exchange activation introduces a fresh liquidity layer and an entirely new audience encountering BDAG for the first time. The current trajectory is the foundation. The acceleration phase has not yet begun.A Narrowing WindowMarkets are efficient at closing asymmetric gaps. The spread between a confirmed $0.05 floor and a $0.20 institutional forecast does not remain open indefinitely,  particularly when the underlying supply dynamics are compressing in real time. Whether BlockDAG fulfills its full cycle ambitions will unfold over the months ahead. But on the strength of its opening data alone,  five synchronized exchanges, historic early volume, rapid staking adoption, and a defined institutional trigger still loading,  BDAG has presented a case that warrants more than casual observation.The top crypto to buy in any cycle is never the one the market has already agreed upon. It is the one where the structural evidence is visible before consensus arrives.Explore BlockDAG Now: Website: https://blockdag.networkTelegram: https://t.me/blockDAGnetworkOfficialDiscord: https://discord.gg/Q7BxghMVyu

Accenture is currently searching for a Responsible AI Specialist who will work as a Senior Analyst. The candidate will work with clients to create user-friendly AI systems which comply with Responsible AI principles. The candidate will perform assessments while developing frameworks to assist teams with trustworthy AI solution implementation. The candidate should become a member of a leading global company which develops responsible AI solutions for all sectors.Location: Bengaluru, IndiaJob ID: R85107Apply: Click HereKey Responsibilities:Serve as a subject matter expert on Responsible AI and data practices.Collaborate with teams to develop frameworks, tools, and best practices for scalable Responsible AI implementation.Conduct research on Responsible AI policies, principles, risks, and regulatory requirements.Evaluate and implement technical best practices for fairness, explainability, transparency, and accountability.Understand client business issues to adopt optimal Responsible AI frameworks.Partner with clients to ensure AI systems are ethically designed and technically sound.Publish thought leadership on Responsible AI products, research, and developments.Lead and mentor a diverse Responsible AI team.Basic Qualifications:PhD/Master’s/Bachelor’s in Statistics, Economics, Mathematics, Computer Science, Physics, or related fields; specialization in Data Science preferred.Candidates should have three to ten years of experience as a data scientist who used their skills to resolve difficult business challenges.At least one year of experience developing AI systems according to Responsible AI standards which include Explainability and Fairness and Accountability.Demonstrate capability in bias testing and explainability tools which include SHAP and LIME and sensitivity testing and model assessment.Expertise in supervised and unsupervised learning and deep learning which includes RNN, CNN, GAN, reinforcement learning, econometrics and exploratory data analysis.Excellent analytical abilities together with effective communication skills and strong problem-solving capabilities which enable them to manage multiple projects independently.Demonstrates a strong desire to comprehend how artificial intelligence influences society.Preferred Qualifications:Cloud certifications (Azure/AWS/GCP) to establish professional qualifications. Expertise in AWS SageMaker Clarify Azure Responsible ML Fairlearn SDK and GCP AI Explanations. Experience in using MLOps tools which include MLflow and Kubeflow together with expertise in chatbots and web crawling and cybersecurity. Demonstrates the ability to handle different tasks simultaneously while effectively guiding team members through the mentoring process.About AccentureAccenture has become a worldwide professional services company which operates in more than 120 countries and employs over 775000 staff members who deliver digital solutions and cloud services and artificial intelligence products. Accenture helps organizations implement trustworthy AI solutions and business transformation processes. The company achieves sustainable growth while developing a diverse workforce and maintaining an ethical work environment which supports team collaboration.

Global markets traded unevenly on Thursday as oil prices jumped and bond yields climbed. Investors tracked the Middle East conflict and positioned ahead of the US payrolls report. Rising energy costs and firm labor data remained the key drivers.US equities held a narrow range in cash trading. The S&P 500 sat little changed at 9:59 a.m. New York time. The NASDAQ 100 rose 0.2%, while the Dow Jones Industrial Average fell 0.5%. European stocks also eased, with the Stoxx Europe 600 down 0.3% and the MSCI World Index near flat.Bond markets moved more decisively. The US 10-year Treasury yield advanced four basis points to 4.13%. Germany’s 10-year yield rose to 2.83%, and Britain’s 10-year yield climbed to 4.53%. Traders reduced the implied pace of Federal Reserve easing as energy-linked inflation risks grew.Oil Jump and Higher Yields Shift the Focus Back to Inflation RiskCrude prices rose sharply as the conflict in the Middle East entered a sixth day. Brent briefly hit $84 as disruptions hit flows to key buyers. West Texas Intermediate rose 4.4% to $77.94 a barrel. The move revived concerns about inflation and lifted borrowing costs across major markets.The yield climb reflected that inflation fear. Market pricing for Fed rate cuts fell quickly. Swaps implied about 35 basis points of cuts by year-end, down from around 60 basis points late last week. Rising fuel costs can filter into freight, production, and household spending. This risk pushed investors to demand higher yields.Strategists also flagged the path for oil as the key variable. Some analysts expect a pullback if shipping normalizes soon. Others see a higher oil “floor” if disruptions persist. Either outcome matters for Treasury yields because energy prices can shift inflation expectations.Stocks, Dollar, and Bitcoin React Ahead of the US Payrolls ReportCurrency markets reflected a cautious tone. The Bloomberg Dollar Spot Index rose 0.2%. The euro slipped 0.2% to $1.1605, and the British pound fell 0.2% to $1.3348. The Japanese yen weakened 0.3% to 157.54 per dollar as investors favored the dollar during risk-sensitive sessions.Crypto prices softened alongside broader risk positioning. Bitcoin fell 1% to $72,631.88, while Ether dropped 1.5% to $2,118.89. Traders watched yields closely because higher real rates often reduce demand for non-yielding assets. Oil-linked inflation fears also added uncertainty ahead of the jobs report.Labor data supported the “resilient but slower” narrative. Weekly jobless claims held steady at 213,000 for the week ending February 28, according to the US Labor Department. This reading signaled low layoffs even as hiring remains more selective. The steady claims print arrived one day before payrolls data that markets treat as the next major catalyst.Corporate Highlights Move Individual StocksCompany news created sharp moves in select names, even as macro headlines set the tone. AI spending plans stayed central for chip and cloud firms. Banks and retailers also delivered updates that investors used to gauge demand and cost discipline.Broadcom CEO Hock Tan said AI chip sales could top $100 billion, with demand tied to custom chips and AI infrastructure.Amazon Web Services launched new AI tools for medical practices, expanding its healthcare push through cloud software.Morgan Stanley said it will cut about 3% of its global workforce (around 2,500 roles) across major divisions.Berkshire Hathaway CEO Greg Abel said he plans to use his take-home pay to keep buying Berkshire stock while he leads the firm.Kraft Heinz stayed in focus after Abel said Berkshire has no immediate plan to change its stake following the company’s pause on a split plan.Kroger issued a softer full-year outlook as it works to stabilize operations under a new top executive.Investors now turn to Friday’s US payrolls report for a clearer read on growth and wage pressure. Until then, oil headlines and bond yields will likely keep steering daily market direction.Also Read: US Stock Market Today: Global Markets Fall as Iran Conflict Lifts Oil and Safe-Haven Demand

Cloning your hard drive creates a complete system backup that allows quick recovery if your computer crashes or data becomes corrupted.Clonezilla is a free open source disk cloning tool widely used by IT professionals for system imaging and deployment.The software creates an exact image of your hard drive including operating system, applications, settings, and stored files.First download the Clonezilla Live ISO file and create a bootable USB drive using tools like Rufus.Restart your computer and boot from the Clonezilla USB to access the disk cloning environment and available backup options.Select device image mode when prompted, which allows you to save a full disk image instead of cloning directly.Choose the source drive you want to back up and select a destination storage location such as external drive.Clonezilla then compresses and saves the disk image while verifying data integrity to ensure the backup works properly.If your system fails later, restore the saved disk image to recover your entire computer quickly without reinstalling software.Read More StoriesJoin our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

OverviewAI adoption is accelerating across industries, but many companies struggle to translate AI investments into measurable results.Experts argue that success depends on integrating AI with strong data systems, skilled teams, and operational frameworks.Technologies such as digital twins are emerging as crucial tools that help businesses combine AI insights with real-world decision-making.The modern business world uses artificial intelligence as its primary technological foundation. Organizations are using AI to enhance their operations through predictive analytics, automated workflows, and generative AI tools. These are essential for achieving operational improvements, better decision-making, and competitive advantage.Despite making large financial commitments, AI implementation does not guarantee the desired business results. The deployment of algorithms falters when organizations lack the required data infrastructure, operational processes, and expert human resources.Industry specialists now assert that AI must operate within a complete system. This system brings together human resources, operational systems, and actual modeling instruments. Advanced AI systems require complete system integration to produce substantial business results.AI Investments Don’t Always Deliver ResultsThe financial sector has invested billions in AI technology. However, the results of these investments have not met expectations. Organizations struggle to implement AI technology. Most of them have failed to understand their AI operational processes.Many companies treat AI as a standalone technological upgrade rather than a transformation initiative. In most cases, outdated work procedures, separate data management systems, and disconnected decision-making processes are the main barriers to implementing the technology. AI is essential for supply chain planning systems. This sector uses artificial intelligence to enhance its forecasting and optimization capabilities. However, organizations often face difficulties and fail to achieve measurable improvements. This happens because the teams and the company’s data systems don't align with AI insights.The most successful companies approach AI differently. These organizations redesign their decision-making system and operational processes. This step is necessary to ensure that staff members utilize AI-generated insights.AI becomes an efficient tool when organizations implement these changes. It operates within a complete system. AI technology needs these changes because it functions within an inefficient system that restricts its potential benefits.Also Read: Will Anthropic’s New AI Tool Disrupt India’s IT Services Business ModelData, People, and Governance Still MatterThe absence of strong data foundations represents a primary factor for AI project failures. Building AI models requires high-quality data from multiple sources to deliver precise results. The AI system will produce unreliable results if data is stored in different systems and departments maintain different data standards.Organizations require professionals who possess expertise to understand AI results. Moreover, they must use those outcomes to make strategic business choices. AI technology enables the analysis of vast datasets, leading to pattern detection. However, it cannot substitute human decision-making processes.Employees who implement AI have different responsibilities. They assess AI-generated insights to simplify strategic decision-making. Organizations develop a competitive advantage from AI implementation. They invest in employee development through training programs and digital technology development.Establishing governance structures is an essential requirement for organizations. AI projects need clear lines of responsibility. Additionally, departments must work together and have dedicated leaders to drive AI initiatives to success. The Rise of Digital Twins in Business StrategyOne of the primary challenges in implementing AI stems from the inability to understand real-world situations. Organizations often lack the proper infrastructure to use AI. AI tools detect data patterns, but they can’t comprehend real-world situations. They don’t know the physical and operational limitations of actual systems.To address this challenge, businesses must utilize Digital twins. These systems are the virtual replicas of the actual systems. Digital twins create virtual models that replicate the intricate operations of industrial systems. This includes factories, supply chains, and infrastructure systems. The models utilize physics and engineering limitations together with actual operational conditions. The simulated environments allow AI to create insights that combine optimized results with actual operational results. Companies can test strategies, predict outcomes, and refine decisions before implementing them in the real world.Digital twins have emerged as a cutting-edge tool for industrial innovation. It connects data with AI and real-world operations through a unified decision-making system. The approach proves highly useful in industrial sectors that incur costly errors, especially in manufacturing, aerospace, and energy.Also Read: Top 10 AI Tools Every Small Business Can Afford in 2026AI Is the Engine, Not the Entire MachineArtificial intelligence remains an underlying force quietly improving how businesses operate today. Successful businesses employ AI to address specific problems, which again proves that AI is not the solution to everything. Real transformation by AI can happen only with elements like a relevant data backbone, skilled human assets, efficient governance, and an ecosystem of the right technology.  Therefore, the future of business innovation lies in a balance between experienced humans and technical digital models.You May Also LikeBenefits of AI in Marketing: How Businesses Increase ROI Using AIHow to Write Effective Specifications for AI AgentsAI Agents are the Next OS: What Developers Should Prepare For?FAQsWhy isn’t AI alone enough for modern businesses?Ans: AI requires strong data systems, skilled teams, and operational integration. Without these foundations, AI insights cannot translate into effective business decisions.What challenges do companies face when adopting AI?Ans: Many organizations struggle with poor data quality, fragmented systems, a lack of skilled professionals, and outdated workflows that limit AI’s impact.What role do digital twins play alongside AI?Ans: Digital twins simulate real-world systems such as factories or supply chains, allowing AI insights to be tested in realistic environments before implementation.Why is human expertise still important in AI-driven businesses?Ans: Humans interpret AI insights, evaluate trade-offs, and make strategic decisions that require judgment, context, and business understanding.How can companies unlock the full potential of AI?Ans: Businesses can maximize AI’s value by integrating it with strong data infrastructure, workforce training, governance frameworks, and advanced modeling technologies.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Doctolib is a leading European healthcare tech company offering an e-health platform for online appointment booking, telemedicine, and practice management software. Serving millions of patients and healthcare professionals, it leverages AI and secure technology to streamline medical workflows, reduce administrative burdens, and improve access to quality healthcare across clinics, hospitals, and medical teams.About the CompanyDoctolib uses its resources to improve healthcare services for medical workers and patients who need treatments. The AI-driven platform of Doctolib enables doctors to handle their medical duties and office work better so they can spend more time on customized treatment and preventive health services.Patients use Doctolib as their reliable health companion which helps them avoid health problems and find medical treatment and receive better medical information. The company operates throughout Europe while it maintains its commitment to accessibility and sustainability and social betterment through its ongoing development of AI technologies such as the Consultation Assistant which enhances healthcare results.Products and ServicesDoctolib provides healthcare professionals with online appointment scheduling capabilities through teleconsultations and practice management tools, which include secure messaging systems and hospital solutions alongside an AI consultation assistant and preventive care resources and patient health monitoring system and clinical workflow automation and telehealth integration and data security protections.Core Leadership TeamRevenue StreamsDoctolib generates revenue primarily through SaaS subscriptions from healthcare professionals, with additional income from premium add-on services and enterprise solutions for hospitals and clinics. Patient usage is free, and the company does not take commissions on appointments.B2BClient Segments: Healthcare professionals, Clinics, Hospitals, Medical Organizations, Health Networks.Target Companies: Individual practices, Multi-doctor clinics, Private hospitals, Public hospitals, Specialized care centers.Target Geography: France, Germany, Italy, the Netherlands, and broader European markets.B2CClient Segments: Patients, Caregivers, Elderly, Families, Individuals seeking healthcare services.Target Users: Patients booking appointments, attending teleconsultations, managing health records, or using preventive care tools.Target Geography: France, Germany, Italy, the Netherlands, and other European regions where Doctolib operates.B2B2CClient Segments: Healthcare providers acting as intermediaries between Doctolib and patients.Target Companies/Users: Doctors, Clinics, Hospitals serving their patients via Doctolib’s platform.Target Geography: France, Germany, Italy, the Netherlands, with a focus on connecting providers and patients efficiently across Europe.Social Media HandleFacebook                        LinkedIn                           Website

Enterprises increasingly rely on data analytics tools to transform large datasets into actionable insights that guide strategy and decision making.Modern analytics platforms combine artificial intelligence, automation, and cloud computing to help businesses process massive volumes of information.Visualization tools allow teams to convert complex datasets into interactive dashboards that reveal patterns, trends, and performance metrics quickly.Cloud analytics platforms enable organizations to store, analyze, and share data securely while scaling resources depending on workload demands.Advanced analytics solutions also support machine learning models, allowing companies to forecast demand, identify risks, and optimize operations.Enterprises often integrate analytics tools with CRM, ERP, and marketing platforms to create unified data environments across departments.Self service analytics capabilities empower employees to explore data independently without relying heavily on technical or IT teams.Choosing the right analytics platform requires evaluating scalability, data security, integration capabilities, and support for real time analytics.As businesses become increasingly data driven, analytics platforms remain essential for gaining competitive advantage and improving operational efficiency.Read More StoriesJoin our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Overview:Cloud computing has become essential for modern businesses, but managing multiple platforms and tools often leads to operational complexity.Innovative technologies such as AI-driven cloud management, automation, and serverless architecture are helping organizations streamline their infrastructure.By adopting smarter cloud strategies, companies can improve efficiency, reduce costs, and focus more on innovation rather than maintenance.Cloud computing has transformed the way businesses build and deliver digital services. Whether a new company or an established multinational corporation, businesses use cloud services to support their growth plans, maintain their data, and execute applications virtually anywhere in the world. As organizations implement various cloud technologies in new collaborations or hybrid environments, cloud complexity has become a major challenge worldwide.This increasing complexity associated with managing the cloud creates a difficult-to-manage environment that threatens to undermine the original business benefits intended to be accrued through the use or reliance on multiple clouds. Consequently, the new and rapidly evolving capabilities of the cloud will play a major role in reducing this complexity with new products that leverage innovative technology, such as intelligent automation, AI-driven cloud management solutions, and more agile cloud infrastructures.Understanding the Cloud Complexity ProblemCloud environments were meant to simplify IT, but they have actually become much more complicated. Many companies are using multiple public clouds and hybrid clouds through separate public clouds (i.e., AWS) or private clouds (i.e., on-premise). These separate environments provide additional flexibility, while creating challenges for monitoring, securing, and managing costs across multiple environments.Additionally, the number of different tools used to manage and monitor cloud resources has increased significantly. Organizations use multiple platforms for monitoring cloud resources, analyzing data, and ensuring a secure cloud environment. Each of these introduces its own level of complexity.Scalability also adds pressure. As businesses expand, cloud workloads increase, requiring constant adjustments to infrastructure and performance optimization.Also Read: Top 10 Cloud Consulting Companies in 2026Role of Innovation in Simplifying Cloud InfrastructureThere are new technologies being developed to solve existing challenges. Cloud providers and tech companies are creating intelligent management solutions that automate previously manual operational tasks. AI-driven public clouds can analyze the cloud's performance, identify efficiency problems, and suggest solutions or actions to improve efficiency. This benefits IT teams by eliminating routine tasks while increasing operational stability.Automation is another major innovation helping simplify cloud operations. Modern cloud management tools help organizations to automate their daily tasks, such as resource allocation, conducting security checks, or balancing workloads. This reduces human error and increases productivity.Key Technologies Transforming Cloud OperationsThere are many technologies currently changing how we manage cloud technology today. One example of this would be how AI and Machine Learning are utilized to monitor the underlying cloud infrastructure in real-time by predicting when things will fail, optimizing what workloads should run on which virtual machines, along with steps to deploy all of these processes.Cloud orchestration systems allow organizations to consolidate many different cloud-based services into one coordinated set of resources through a single management system. IT personnel no longer have to log into multiple dashboards to manage resources within the cloud by using a single orchestration tool or system.Another area where the complexity caused by managing servers has begun to be reduced is through the use of Serverless architectures. In this model, developers do not need to directly manage servers anymore because the underlying cloud provider is responsible for managing the entire infrastructure as it relates to application development.Another growing trend within cloud technology is called Edge computing. It helps businesses to process data much closer to their users, which reduces the amount of time it takes for end-users to access processed data.Benefits for Businesses and DevelopersBusinesses can improve operational efficiency through innovative cloud solutions by streamlining operations through automation. It reduces time spent on managing infrastructure so teams can focus more on developing new products or services rather than maintaining legacy systems.Cost savings via improved usage of cloud resources through AI-based analytics, identifying underutilized resources, will provide feedback as to how/what changes to make to minimize cloud costs.Developers experience higher levels of productivity due to the creation of simpler environments for developing software, resulting in quicker deployment times and greater ability to collaborate across teams.Challenges and Future OutlookWhile considerable progress has been made over the past few years, there are still many obstacles to overcome. Vendors locking users into their services present challenges for companies dependent on one cloud provider. Growing cloud storage size also creates issues regarding both data governance and regulatory compliance.The shortage of qualified personnel with specialized knowledge about Cloud computing continues to hinder development within the industry. Organizations implementing advanced cloud technologies should invest in both training and building employee capabilities.Also Read: How Does Cloud Computing Impact the Digital Economy?Final Thoughts Cloud computing remains the backbone of digital transformation, but the ever-increasing complexity of cloud computing means we need to create intelligent solutions. Some examples of this include the use of AI to manage cloud environments, advanced platforms for managing cloud environments through automated workflows, and serverless architecture for reducing resources needed to run cloud applications.As technology continues to advance, businesses that adopt current cloud computing best practices will be in a more favorable position than others to address complexity and maximize achievements with cloud computing.You May Also Like10 Best Cloud Service Providers in the UAE for 2026Budget 2026: India Announces Data Centre Tax Holiday Till 2047 to Attract Global Cloud and AI CompaniesWhy I’m Ditching My Console for Cloud Gaming in 2026FAQsWhy has cloud infrastructure become more complex?The growing use of hybrid clouds, multiple service providers, and advanced cloud tools increases the number of systems organizations must monitor and manage.How can AI help solve cloud complexity?AI can analyze cloud performance data, detect anomalies, predict failures, and automate resource management to improve efficiency.What role does automation play in cloud management?Automation reduces manual tasks such as workload balancing, resource allocation, and security monitoring, improving operational efficiency.How does serverless architecture reduce complexity?Serverless computing allows developers to build applications without managing underlying servers, reducing infrastructure responsibilities.What challenges still exist in cloud computing?Vendor lock-in, data governance issues, and a shortage of skilled cloud professionals remain major challenges.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp