Frontier AI research lab tackles enterprise deployment challenges

Thomson Reuters and Imperial College London have established a frontier AI research lab to overcome historic deployment challenges. Speed and scale have defined the current AI boom. But for enterprises, the primary obstacles to deployment are different: trust, accuracy, and lineage. Addressing these barriers, Thomson Reuters and Imperial College London have announced a five-year partnership…

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Flawed AI benchmarks put enterprise budgets at risk

A new academic review suggests AI benchmarks are flawed, potentially leading an enterprise to make high-stakes decisions on “misleading” data. Enterprise leaders are committing budgets of eight or nine figures to generative AI programmes. These procurement and development decisions often rely on public leaderboards and benchmarks to compare model capabilities. A large-scale study, ‘Measuring what…

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RavenDB launches database-native AI agent creator to simplify enterprise AI integration

Open-source document database platform RavenDB has launched what it calls “the first fully integrated database-native AI Agent Creator,” a tool that makes it easier for enterprises to build and deploy AI agents. The platform tackles a common problem in enterprise AI – the difficulty of connecting models to a company’s own data systems and workflows…

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Samsung benchmarks real productivity of enterprise AI models

Samsung is overcoming limitations of existing benchmarks to better assess the real-world productivity of AI models in enterprise settings. The new system, developed by Samsung Research and named TRUEBench, aims to address the growing disparity between theoretical AI performance and its actual utility in the workplace. As businesses worldwide accelerate their adoption of large language…

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