Data science

Data science

🚀 DATATRONiQ is a deep-tech 💪 startup in Germany, driving the future of Industrial IoT and Edge AI. Our platform provides a one-stop solution for companies to monitor, analyze, and optimize their assets and processes. Through advanced machine learning and real-time analytics, we transform high-quality industrial data into meaningful insights that drive smarter decisions. We believe in an open and collaborative environment to foster the best ideas from the most creative people - if you are excited about applying AI and data science to real industrial challenges, we'd love to talk with you!

You know your team needs to build or strengthen their AI skills, but how do you provide them with the necessary know-how? This AI training rollout checklist covers all the essentials you need, from finding internal AI champions to establishing quarterly review processes. AI Training Rollout Checklist: How To Get Started While some employees might already use AI every day in their workflow, others might be relatively unfamiliar with this emerging tech.

On a weekday morning in suburban Maryland, a behavioral health therapist logs into her dashboard before meeting her first client. The screen displays real-time caseloads, treatment plans, and risk alerts. One name flashes yellow-a client whose recent history suggests heightened hospitalization risk. Rather than waiting for crisis, the therapist addresses this proactively. This moment illustrates how thoughtfully designed digital systems don't replace human care; they sharpen it.

The appeal of FIRST.com lies in how it blends editorial integrity with practical insight. Visitors find detailed sportsbook reviews that examine not only odds competitiveness but also mobile performance, withdrawal policies, customer service and regulatory licensing. Each review is written to help users understand both strengths and weaknesses, with the aim of providing clarity in an industry that often thrives on confusion.

That conclusion came from a blog post this week by Stephanie Doyle, Backblaze's writer and blog operations specialist, and Pat Patterson, Backblaze's chief technical evangelist. The authors compared the AFRs for the approximately 317,230 drives in Backblaze's datacenter to the AFRs the company recorded when examining the 21,195 drives it had in 2013 and 206,928 drives in 2021. Doyle and Patterson said they identified "a pretty solid deviation in both age of drive failure and the high point of AFR from the last two times we've run the analyses."

Qlik is making Open Lakehouse generally available. The Apache Iceberg service promises real-time pipelines and automatic optimization without vendor lock-in. The solution combines change data capture (CDC) with automatic Iceberg optimization. Teams can continue to use their existing tools, including Amazon Athena, Snowflake, Spark, Trino, and Amazon SageMaker. During the preview phase, customers reported faster queries and significantly lower infrastructure costs. Qlik Open Lakehouse is now available to all Talend Cloud users.

There's a revolution occurring in how war and conflict are waged. New data-intensive systems are being developed; and commercial tech infrastructure is now supporting military operations. Data plays a key role in this revolution. Data is used to train and test systems, and the systems are fed data to target operations, communities, and individuals. While intelligence has long informed warfare, now we're seeing the very same dynamics that gave rise to surveillance capitalism feed a new era of innovation, feed a new era of innovation,

"It's a rip off 'Find my Friends.' I was able to reverse engineer the SF parking ticket system so I could see close to real time where parking tickets were issued in the city. And I was making a map of where the actual parking cops were as they traverse the city and issue tickets. In theory, you could use that to avoid them and avoid a ticket," said Walz.

Fabric was launched in 2023 as a unified cloud platform for data and analytics. Later that same year, mirroring was added, a feature that allows data from existing warehouses and databases to be added and managed without complex ETL processes or self-built data pipelines. With the latest update, organizations can replicate a snapshot of Oracle and BigQuery databases to OneLake, the lakehouse system within Fabric, where the copies remain synchronized with the source databases in near real time.

"It was a hard fought battle. To win by 11 points out of a maximum possible 3,750 is what some might call 'by the skin of my teeth'."

Right now, if you go to FanGraphs and sort by position player fWAR with 200 or more PAs, you get a list that maybe isn't that surprising. Or, rather, the placement of some guys might be surprising, but anyway... Aaron Judge, Bobby Witt Jr., Shohei Ohtani - those guys are phenomenal but they were better last year. Cal Raleigh is having a legendary season but has been an All-Star-plus quality guy for years now.

Trading can be exciting, but it is also unpredictable. Many traders lose money because they start trading live without testing their strategy. This is where backtesting comes in. It allows traders to test their strategies on historical trading data before risking real money. By understanding how a strategy would have worked in different market conditions, traders can make smarter decisions and reduce risks.

Netflix emphasizes that the more you use the platform, the more personalized it will become. Source. Are you sure your feeds - Netflix, Amazon, whatever social media you prefer - is providing you with personalized content? (More about the difference between personalization and customization here.) Are you being given content that aligns with your actual interests, or is the algorithm steering you around?

Google recently introduced a columnar engine for its globally distributed database, Spanner, intending to resolve the long-standing conflict between online transaction processing (OLTP) and analytical query processing (OLAP). The new feature, currently in preview, allows Spanner (Enterprise and Enterprise Plus editions) to handle both workloads simultaneously on a single database, eliminating the need for separate data warehouses and complex ETL (Extract, Transform, Load) pipelines.

Can you create a histogram of game total scores to see the distribution of scoring? Could you make a box plot comparing home vs away team scores? Let's create a scatter plot of temperature vs total score to see if weather affects scoring. Can you show me the distribution of betting spreads and how they relate to actual game results? Could you create a visualization showing win/loss records by team?

Want to use this as your default charts setting? Save this setup as a Chart Templates Switch the Market flag for targeted data from your country of choice. Open the menu and switch the Market flag for targeted data from your country of choice. Need More Chart Options? Right-click on the chart to open the Interactive Chart menu. Use your up/down arrows to move through the symbols.

Cheering at the stadiums and buying replica jerseys shifted to new ways to consume sports. Live matches on the Sportsbet betting platform, social media, fantasy leagues, highlights, and apps are capturing the attention of today's fans. Teams and brands understand that to keep fans engaged, they need to meet them wherever they are. This triggered an entirely new approach based on data about fans' behaviours, which proved to be just as valuable as the sports themselves.

Pew Research asked U.S. adults if certain behaviors in public, such as cursing or smoking, were acceptable. The above are the results for four age groups. For every behavior, the percentage of people who said it was rarely or never acceptable increased with age. Television and movies (and my own experiences) would tell you that sounds about right, but for some reason the clear trend surprised me. A quiz with the behaviors lets you get in on the action to see how crotchety you are.

Over the course of several years designing and delivering enterprise data platforms for a global pharmaceutical leader, I witnessed firsthand how data had evolved from a backend enabler to a frontline business asset. The organization was no longer just looking to report historical performance; it needed to predict outcomes, personalize patient engagement, customer engagement, brand performance and make regulatory decisions in near real time.

The ADF test results confirm that both the gas base fee and blob gas base fee time series are stationary, with test statistics of -6.3719 and -10.5237.