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

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 ...

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 ...

Enterprises competing in an AI marketplace can't afford to be stalled by security and sovereignty challenges. They need turnkey, sovereign data and AI solutions that can bridge the gap between their ...

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 ...

Nearly half of the code snippets generated by five AI models contained bugs that attackers could exploit, a study showed. A ...