Microsoft has made Fabric IQ's business ontology accessible via MCP to any AI agent from any vendor, targeting the core reason multi-agent systems fail in production: agents operating from conflicting ...

What to expect from a marketing analyst in 2026, how the market has changed, and what does AI have to do with it?

Overview Data science books help beginners clearly understand analytics, algorithms, and real-world industry applications.The ...

These 12 Gemini prompts can help job seekers research roles, tailor applications, prepare for interviews, and negotiate offers more strategically.

Data analyst Michelle Le shares the biggest lessons she's learned about perserverance from taking on a temporary gig after ...

Jensen Huang’s GTC 2026 keynote wasn’t just about new chips. It showed Nvidia pushing to own the economics of inference, agentic AI, and the infrastructure beneath the next industrial wave.

Data work in 2026 asks for more than chart building. Professionals are expected to clean data, query databases, explain trends, and present findings clearly across business, finance, product, and ...

Bengaluru techie opens up about interviewing a 13-year-experienced candidate who failed basic coding and SQL.

Overview Data analytics examines structured datasets to uncover trends, patterns, and actionable insights effectively.Big data analytics processes massive, comp ...

Data Product Agent Mesh makes the promise of Data Mesh practical by solving its operational complexity through intelligent ...