Using an AI coding assistant to migrate an application from one programming language to another wasn’t as easy as it looked. Here are three takeaways.

From the browser to the back end, the ‘boring’ choice is exciting again. We look at three trends converging to bring SQL back ...

Enterprises seeking to make good on the promise of agentic AI will need a platform for building, wrangling, and monitoring AI agents in purposeful workflows. In this quickly evolving space, myriad ...

Alteryx is pushing analytics into the data lakehouse rather than pulling data out. Chief Product Officer Ben Canning explains why governance and business user access remain the real barriers to ...

AT&T's chief data officer shares how rearchitecting around small language models and multi-agent stacks cut AI costs by 90% at 8 billion tokens a day.

Morgan Stanley Technology, Media & Telecom Conference 2026 March 3, 2026 3:20 PM ESTCompany ParticipantsJohn Ederer - ...

Red Hat's Ansible automation platform evolves for agentic AI with ephemeral MCP servers, expanded Lightspeed AI capabilities, and workflow tools.

When it comes to Rapid Application Development, Python is the best choice because it offers dynamic binding and dynamic typing options. Most programmers will say Python is very simple to learn. This ...

From chips and power to models and industrial deployment, global countries are positioned to capture unique value in different layers of the AI stack. Read more here.

Overview: Frontend development focuses on user experience, while backend development powers systems, databases, and security.Artificial intelligence and cloud c ...

Overview: Modern .NET productivity depends on libraries enabling resilience, observability, messaging, and clean architectural separation at scale.High-performa ...

The NGI Zero Commons Fund provides grants to people who help build the digital commons. Because all projects are free and ...