Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...
Sridhar Ramaswamy, who spent 15 years at Google and helmed the tech major’s massive advertising business, said legacy players will find it hard to match the pace of startups such as OpenAI in web ...
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Secure data warehousing in ERP environments: An AI-based multimodal threat detection framework by Emmanuel Philip Nittala
In an era where data has become one of the most valuable assets for organizations, protecting that data is a strategic ...
Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.
Second, Qatar is hosting the Gulf's first confidential AI computing facility, funded by MBK Holding, built by AILO, and ...
Vera started as a workforce intelligence platform, a comprehensive solution for enterprise level clients looking to drive impact across business lines.” — Julie Cropp Gareleck, Co-founder, Vera ...
In 2026 and beyond, AI agents will operate as the orchestration layer that drives decisions, triggers actions and aligns systems across functions. ERP becomes a node in a broader enterprise ...
From data poisoning to prompt injection, threats against enterprise AI applications and foundations are beginning to move from theory to reality.
MongoDB, Inc. (NASDAQ:MDB) ranks among the best big data stocks to invest in. On December 15, Raymond James began coverage of ...
Key data and analytics trends in 2026 include decision intelligence, real-time analytics, semantic layers, platform ...
Enterprise AI adoption surged in 2025, but scaling still lags. Explore 7 key enterprise AI adoption trends shaping 2026.
The top AI startups in 2026 in the artificial intelligence market include AI companies driving LLM innovation, agents, ...
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