Category: category-/Science/Computer Science

Data is accelerating and accumulating by the second. Here's how every enterprise can take a data-driven approach to fuel intelligence.

With AI managing repetitive and mundane workstreams in app development, humans are free to create, innovate and problem-solve. 

Our AI senior writer/editor, Sharon Goldman, was kept busy again this week with news about generative AI and the new GPT-4 release.

One thing is for sure: Every organization will need a generative AI plan. How to choose the right tools for creative and knowledge workforces.

Capping an epic week in generative AI, Microsoft released Copilot 365, combining LLMs like GPT-4 with Microsoft 365 apps and Graph data.

The open-source PyTorch project is widely used for machine learning (ML) training. Its anticipated 2.0 version is now generally available.

Most ML models don't make it into production because developers don't have the right workflows and tools. This is where MLOps comes in.

With the latest technology, increased computing power and advanced data solutions, the quest for AI at scale can be tackled as never before.

Synthetic data for AI is soaring in popularity for its impact on data quality and potential to improve machine learning deployments.

Financial services giant Wells Fargo shares how it's implementing AI at scale for document processing, a virtual assistant, and more.