Data engineering is the process that makes it usable. It involves moving, cleaning, and organizing. This creates the foundation for BI and analytics. The goal is to replace guesswork with facts. That ...
For years, security operations have relied on monolithic architectures built around centralized collectors, rigid forwarding chains, and a single “system ...
Data contracts are foundational to properly designed and well behaved data pipelines. Kafka and Flink provide the key ...
AIM Media House brings the Data Engineering Summit 2026 to Bengaluru, uniting engineers and leaders to explore the frameworks ...
2h
The 70% factuality ceiling: why Google’s new ‘FACTS’ benchmark is a wake-up call for enterprise AI
According to the initial results, no model—including Gemini 3 Pro, GPT-5, or Claude 4.5 Opus—managed to crack a 70% accuracy ...
Real-time security clearances are becoming increasingly common in manufacturing of advanced-node semiconductors, where data ...
Gokulram Krishnan, an enterprise intelligence architect, builds resilient, scalable data solutions that transform complex ...
Agentic data trust company Ataccama has announced a key development (actually a strategic investment) with Snowflake Ventures ...
Ensuring zero-trust principles and verifying that devices and GPUs are free from side-channel attacks is essential to ...
The DX-H1 V-NPU has been honored with a CES 2026 Innovation Award, reinforcing the value of DEEPX's vision of "Edge AI as the ...
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