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AI & Enterprise

Should you enter company data into personal ChatGPT? \'Shadow AI\' warning

Entering company information into personally subscribed AI services should generally be avoided, a report said. Cloud-based AI services including ChatGPT may use user inputs for model training, raising the risk of leaking confidential material. Personal terms may allow providers to use inputs and outputs, and incident tracing is difficult when services are not officially adopted by companies. Corporate plans may restrict training use, and local AI is cited as an alternative.

AI & Enterprise

AI app companies build in-house models as push grows; what next for Dokpamo overhaul?

More AI service companies are building in-house models to cope with the cost of using advanced AI models and to compete with large model developers. Legal AI startup Harvey has developed its Tenet model based on Moonshot\'s low-cost open-source Kimi K3. Coding AI Cursor is also accelerating its own model work and has launched its Origin code hosting platform. South Korea plans to revamp support for firms in the Dokpamo project from the third evaluation round.

AI & Enterprise

Analytics enters agentic era as AI delivers insights first

Salesforce global Tableau product management vice president Matthew Miller defined the current moment as an “agentic analytics” era in which insights reach users first. He said AI agents can understand needs, remember work patterns and adapt to organisational terminology. Miller outlined three stages: moving from passive to active analytics, from descriptive to advanced analysis, and from expert-only outputs to results anyone can understand. He also highlighted Tableau’s Knowledge Engine and Decision Engine.