AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

There are many ways to describe a database: the role it plays in a distributed architecture, the various internal components that make it work, and the various levels that define specific roles and ...

Healthcare organizations are awash in data. But not every health system is able to utilize its data in ways that yield actionable insights or opportunities for performance improvement. Without a clear ...

Generative artificial intelligence disrupted the enterprise in 2023 and is now a must-have consideration in 2024 plans. With this in mind, technical professionals must strive to enhance and modernize ...

Real-time security clearances are becoming increasingly common in manufacturing of advanced-node semiconductors, where data ...

For decades, organizations have approached data architecture with a monolithic mindset—centralized platforms, complex codebases and rigid structures. While these systems were built with the noble goal ...

The evolution of software architecture is contributing to increasing energy consumption.

The institutions winning today aren't winning because they have smarter traders or better customer service. They're winning because they've solved a fundamental architecture problem: how to turn ...

There’s always a worry that “agentic AI” means people step aside. The reality is sort of the opposite. Agents take on the minute-by-minute decision loops, but humans define the goals, priorities, ...