Microsoft is moving more of the data governance workload to users, but says that this will lead to greater accountability and transparency.

With an open, plug-and-play architecture, MCP is the key to enabling AI agents to interact seamlessly with external tools and ...

The Michigan Tech Data Science MS provides a broad-based education in data mining, predictive analytics, cloud computing, data-science fundamentals, communication, and business acumen.

In the complex and highly regulated financial services environment, the cost of poor data management is staggering, estimated to cost ...

Artificial intelligence is giving some climate research projects a much-needed boost at a time of worsening extreme weather ...

Data science techniques are the tools in a data scientist's toolbox — each one suited to a specific kind of problem. Whether it's sorting, predicting, or discovering hidden patterns, there's a method ...

Three years after a $94 billion pledge, uneven progress and poor transparency hinder global clean energy demonstrations aimed ...

Big Data refers to massive volumes of structured and unstructured data that are too large or complex for traditional data processing tools. It's not just about size — it's also about the insights that ...

Recent employment figures conceal the precarity, informality and invisibilised realities of India’s struggling workforce ...

For example, ChatGPT was completely flummoxed when asked questions about data stored in GenBank, a National Institutes of ...

Deterministic AI provides an alternative to the generative AI approaches, but it also requires thoughtful implementation.

A successful business case leads with the value proposition and then finds the right tool for the job. The tool should work with the structure and nature of the data (natural language, time-series ...