The future of the field isn't less engineering but better engineering, where people focus on design, integrity and impact ...
AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.
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 ...
Real-time security clearances are becoming increasingly common in manufacturing of advanced-node semiconductors, where data ...
Unlock enterprise value with intelligent automation, AI agents and data-driven workflows that transform unstructured data into real business impact.
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 ...
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 ...
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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, ...