Key data and analytics trends in 2026 include decision intelligence, real-time analytics, semantic layers, platform ...
Alireza Doostan is leading a major effort for real-time data compression for supercomputer research. A professor in the Ann and H.J. Smead Department of Aerospace Engineering Sciences at the ...
Confluent has unveiled new capabilities that unite batch and stream processing to enable more effective AI applications and agents. The aim? Confluent wants to position itself as an essential platform ...
Time series analysis forms an essential part of modern data science by examining sequential data to unravel the underlying dynamics of complex systems. In particular, entropy-based measures quantify ...
Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Moving data from diverse sources to the ...
Seventy years after the invention of a data structure called a hash table, theoreticians have found the most efficient possible configuration for it. About 70 years ago, an engineer at IBM named Hans ...
Enterprises are learning the hard way: Real-time data agility isn’t a luxury for AI. It’s the backbone of anything that actually works. AI keeps making headlines, with billion-dollar investments and ...
The electric grid is rapidly becoming more complex as centralized, fossil-based generators are replaced by renewable, inverter-based resources, such as solar PV. The inherent variability of renewable ...
Mandar Khoje is an Engineering Leader at Moveworks, leading Data Platform teams and based in the San Francisco Bay Area. The conversational capabilities of large language models (LLMs) are reshaping ...
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