To help professionals build these capabilities, we have curated a list of the best applied AI and data science courses.

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

Skild AI raised $1.4 billion in a SoftBank-led round, valuing it at $14 billion as it builds a unified “brain” to run ...

The company is positioning itself as a direct global competitor to established AI platforms like ChatGPT and Claude.

The session highlights how InfluxDB 3 enables low-latency analytics and how MCP makes real-time data easier to explore. The talk will include a live demo where we will ask questions like “Is the ...

Continuous tech-debt monitoring & governance Tech debt removal is typically reactive and ad-hoc exercise. AI can help run periodic scans, update debt scores, and feed insights into tech governance ...

The open-source libraries were created by Salesforce, Nvidia, and Apple with a Swiss group Vulnerabilities in popular AI and ...

Polymarket Agents is a modern, open-source framework for building sophisticated AI trading agents on Polymarket. Leverage state-of-the-art LLMs, RAG (Retrieval-Augmented Generation), and ...

A new orchestration approach, called Orchestral, is betting that enterprises and researchers want a more integrated way to ...

Chatbots put through psychotherapy report trauma and abuse. Authors say models are doing more than role play, but researchers ...

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...

Large Language Model (LLM) agents often need to interact with and validate data. Great Expectations is a powerful open-source tool for data quality, but it's not natively accessible to LLM agents.