Anaconda has acquired Kilo Code, an open-source, model-agnostic platform that embeds AI agents into the tools developers use to build software. The deal brings Kilo’s community of more than three ...

Learn how to improve AI agent performance using better prompting, memory management, RAG, evaluation metrics, multi-agent systems, and proven optimization strategies to build faster, more accurate, ...

Industrial AI may be all the rage, but it’s useless-to-dangerous without standardized, relevant data to work from. And yet, ...

Palantir's success with AI projects, based on their tech and forward deployed engineering methodology, has led others to roll ...

Discover what agentic AI is and how AI agents work. Uncover the types of agentic AI systems, their enterprise use cases, ...

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...

Dreamix, Envada, Netguru, STX Next, and Future Processing are leading custom software development companies in Europe, known ...

Data scientists play a crucial role in helping people and organizations use data to make more informed decisions. Since they ...

These prompt engineering courses can help you refine and structure natural language requests to get the most out of ...

VentureBeat surveyed 132 enterprise AI leaders: the production failure point isn't the model — it's the runtime layer most teams are patching with retries instead of fixing.

ChatGPT's market share dropped from 77.6% to 53.7% in a year, while Gemini surged to 26.7%. We ran both through real coding, writing, and research tasks to find out if the numbers reflect reality.