Learn how enterprises are embracing AI-driven data architecture to unify data, scale securely in hybrid cloud and accelerate ...

We're about to get a heavy helping of MCP from the keynote stage, as fuel for the agentic AI buzz. But why MCP? Why is ...

The landscape of machine learning engineering has evolved dramatically over the past decade, with organizations increasingly demanding scalable, production-ready solutions that deliver measurable ...

Explore how Lakehouse and LakeDB models are shaping data architectures for autonomous AI systems, ensuring governance and ...

When it comes to harnessing technology’s fast-moving tide, what should architecture practices be doing? Pamela Buxton asks ...

In an algorithmic and automated digital economy, trust is the new competitive edge. Ohm Hareesh Kundurthy's work reminds us ...

Just as the internet required secure protocols, enterprise AI is driving new requirements for purpose-built governance ...

The thinking that physically and logically isolated environments offer stronger privacy and data protection than multitenant ...

To unlock the full benefits of agentic AI, organizations need to bring together data from multiple sources in a way that users can trust. Strong guardrails, clear permissions, and full audit trails ...

Architecture faces a rapidly changing future. To remain relevant, practices must evolve with intention, building adaptability ...

Apple has unveiled its thinnest phone, a new model – the iPhone 17 Air – as well as “completely redesigned” Pro versions, in ...

AI and data are feeding each other — build the right strategy and you’ll unlock smarter decisions, better agility and a real ...