If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is ...
The tourism industry is currently at a turning point globally. Flight schedules are changing by the minute, as are ticket prices. Unforeseen events are spreading across continents faster than airlines ...
AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.
Memory swizzling is the quiet tax that every hierarchical-memory accelerator pays. It is fundamental to how GPUs, TPUs, NPUs, ...
Cybersecurity principles are simple, says Databricks' Field CISO. The hard part is doing them at scale across thousands of users and hundreds of applications. The company thinks its data platform – ...
The future of the field isn't less engineering but better engineering, where people focus on design, integrity and impact ...
A security analysis published on Github reveals serious deficiencies at Karvi Solutions. Tens of thousands of restaurant ...
Channels, >2,800 Programmable Operations-Scalable to >50,000 Operations on Each Dataset Arriving Every 25 ns with Zero Data Loss at a fraction of the cost of FPGA ...
HPE’s Nilotpal Kumar Dutta explains how hybrid cloud, GreenLake, AIOps, and strategic acquisitions are enabling scalable, ...
When teams can’t trust their data, they can’t use it as the foundation for an AI strategy, even when there’s pressure from the top. AI may be the flashy thing everyone wants to talk about, but the ...
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