IBM puts governed context at the center of production AI
IBM emphasizes the importance of governed context for AI agents deployed in production environments across enterprises.
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IBM emphasizes the importance of governed context for AI agents deployed in production environments across enterprises.
Oracle AI World featured executive interviews discussing the requirements for moving enterprise AI applications into production, including data security, infrastructure, and autonomous agent control.
Uber expands ChatGPT Work deployment across all 30,000 employees after successful pilot.
Neo4j has launched Context Engine, a platform enabling enterprise AI agents to interpret business data and understand cross-system relationships.
Google Cloud's Model Garden now offers OpenAI's latest models including GPT-6 Astra, GPT-6.1 Sol, and GPT-6 Luna in private preview for enterprise developers.
MIT Technology Review examines how enterprise AI requires business context and operational awareness to make effective decisions, not just raw model power.
Enterprises have rapidly deployed numerous AI models and services—including developer tools, AI agents, and embedded features—but security teams lack visibility into much of this AI adoption.
Nvidia unveiled new open weights AI models at GTC Berlin, including embedding and autonomous vehicle models, targeting European enterprises seeking sovereign AI solutions.
Many AI errors in IT operations blamed on hallucinations are actually caused by outdated, incomplete, or contradictory data rather than model failures.
Forrester research shows most CIOs are likely to miss AI-related ROI targets in 2027, with AI set to consume 20% of tech budgets despite only 22% of leaders reporting positive EBITDA impact.
Cisco Splunk's 2026 observability report finds 43% of Indian enterprises struggle to control AI costs, while 85% prioritize AI workload monitoring amid rapid agent deployment.
San Francisco-based enterprise AI startup AuxoAI raised $20.7M in Series A funding led by NTTVC to expand its forward-deployed engineer team and AI-native delivery platform.
Nvidia introduced Agent Knowledge Foundation at GTC Berlin, a toolkit combining open-source models and libraries to help enterprise AI agents access company data without competing with existing data platforms.
A guest column examines what enterprise leaders prioritize when selecting AI partners amid a crowded market of competing models and platforms.
Enterprise AI adoption is moving into production at scale, with CFOs now budgeting for token consumption as a standard operational expense rather than experimental spending.
An analysis of Satya Nadella's recent articles on treating AI foundation models as untrusted components requiring architectural containment rather than emergency brakes.
Microsoft warns that AI agents deployed in enterprises pose internal security risks independent of external hacking, requiring continuous monitoring as their adoption grows.
Opinion piece critiques the 'FDE bubble' where enterprise AI companies raise capital promising autonomy but deploy armies of engineers to manually implement workflows.