Enterprise data platforms increasingly unite analytics, governance and orchestration, with new generative and agentic AI-enabled features to improve autonomy and speed.

AI isn't changing everything. Spreadsheet whizzes are still competitive in the current job market.

Overview Data science in 2025 demands both technical expertise and strong soft skills.AI, cloud computing, and advanced ...

Microsoft has released the first release candidate for SQL Server 2025, touting AI capabilities and experimental features ...

The new data lakehouse is billed as a single platform for multiple use cases including transactional, agentic, decision ...

In this article, authors discuss Model Context Protocol (MCP), an open standard designed to connect AI agents with tools and data they need. They also talk about how MCP empowers agent development, ...

AI systems need humans to guide them with the unique enterprise history, policies, changes, and institutional knowledge ...

Global enterprises Block and GlaxoSmithKline (GSK) are exploring AI agent proof of concepts in financial services and drug ...

Oracle has embedded GPT-5 into its cloud infrastructure and SaaS apps, extending generative AI to databases, HR, finance, and ...

For leaders looking to take on this kind of change, my advice is simple. Create space for collaboration, keep the accountability clear and build with empathy.

Snowflake is positioning itself as the “factory floor” for enterprise AI, embedding LLMs, RAG, and skills into its AI Data ...