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AI & Enterprise

AI context layers meant to curb wrong answers linked to higher error reporting

Companies that introduced governance-based context layers to prevent AI agents from producing wrong answers are reporting a higher rate of errors, a report cited by VentureBeat showed. Over the past six months, 68 percent of companies said confident AI-agent answers were wrong because company-related information was missing or incorrect, up from 57 percent in June. The share running governance layers rose to 32 percent from 25 percent, while repeated errors were also more common.

Telecommunications & Media

KT launches NPU LLM Station featuring Korean AI chip

KT has launched an enterprise sovereign AI appliance that integrates a Korean-made AI chip and its own large language model into a single server. The KT NPU LLM Station combines Rebellion\'s ATOM-MAX neural processing unit with KT\'s Mi:deum K 2.5 Pro model and an operating API platform. The on-premises product keeps data and AI processing inside customer premises and is aimed at industries facing regulatory and security constraints on external generative AI.

Industry

Dinotisia joins Kolon Benit AI alliance to expand industry-specific AI deployments

Dinotisia said on Aug. 18 it will join Kolon Benit’s AI alliance and expand tailored AI projects by industry. The company plans to build on its AI deployment experience in accounting and legal services, aerospace and defence, and automotive manufacturing. Kolon Benit’s AI alliance, launched in June 2024, has about 100 AI technology and solution companies participating. Dinotisia said it has technologies needed for enterprise AI deployments.