A data center builder and a battery startup have agreed to deploy a novel type of energy storage for the first time at a US data center. It’s the latest example of tech companies’ search for ...

That’s the word from a recent Salesforce survey of 552 business leaders, which finds trust in the data that underpins data-driven decisions is falling. For example, only 40% trust the ...

Updated data presentation. Labels like “(data not available)” and “(not set)” add clarity, helping you spot gaps and know where to take action. Proactive issue detection.

The U.S. data center market is expected to grow 17 percent annually, as national energy usage from the asset class will increase from 33 GW to 100 GW between 2023 and 2030, per Citi Research. The ...

WasteServ, the national waste management agency, largely did this by introducing differentiated gate fees to incentivise proper waste separation and reduce landfill usage, the report found.

The Data Science Lab. Data Anomaly Detection Using LightGBM. Dr. James McCaffrey from Microsoft Research presents a complete program that uses the Python language LightGBM system to create a custom ...

When developing or deploying new algorithms, hospitals and healthcare AI developers must pay close attention to the quality of training datasets, as well as take active steps to mitigate biases ...

Good Data vs. Bad Data Collecting data for companies is like gathering pieces of a puzzle in order to help companies see the complete picture, enabling them to make informed and scalable decisions.

European Commission says European Union EU and Japan have reached agreement on cross border data flow to make business easier, less costly and more efficient. Skip to main content May 27 ...

Most data is garbage and needs serious cleaning. Only about 5% to 10% of data in a typical organization is actually useful. If you bring your AI to the garbage dump and let it feed off the garbage ...

Companies have access to more data today than ever before, but if the quality is questionable, so are any inferences from it. As the old — very old — computer science saying goes: “Garbage ...