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At MIT Technology Review's EmTech Future conference, Jing Wang, head of Vanguard's Center for AI & Insights, discussed the organizational and technical foundations needed for scalable AI — including data, engineering, platforms, operating models, and governance — and how responsible implementations (including agentic systems) can deliver lasting investor value in regulated environments.
Cohere published a guide explaining why measuring AI ROI is difficult and outlining practical approaches for forecasting and measuring returns. It covers variable inference and deployment costs, model selection and cost-aware routing, operational overheads like validation and human review, and recommends using grounded baselines and explicit, testable assumptions.
An NVIDIA Developer article describes how to build an adaptive, agentic cybersecurity system using NVIDIA Nemotron. It highlights that agentic systems can coordinate work and pursue long-horizon objectives, and notes security teams are beginning to explore these approaches.
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