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“数百 CXO AI practitioners’ physical distillation and generalization – the first day of the Digital Value Annual Conference’s agenda has arrived, but the answer remains uncertain.”

2026-09-04 08:00 Models 🔥 42.2 heat score
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42.2heat score
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Hundreds of corporate executives discussed physical distillation and generalization techniques in AI on the first day of the Digital Value Conference, sharing their practical experiences. However, no unified conclusion has been reached regarding the specific technical approaches and implementation outcomes.

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Baili FashionDipu TechnologyFeidu TechnologyMidea GroupSalesforceServiceNowSuper FusionWorkday

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钛媒体 zh 2026-09-04 08:00

“几百 CXOs’ AI practices in physical distillation and generalization – the first day of the Digital Value Annual Conference’s agenda has arrived, but the answer remains unknown.”

# Hundreds of CXO AI practitioners discuss physical distillation and generalization – the agenda for the first day of the Digital Value Annual Conference has arrived, but the answers remain uncertain. **Key Event**: On September 16, 2026, the main forum of the “Digital Value Annual Conference” was held in Sanya, Hainan. Hundreds of CXO (Corporate Chief Officers) gathered to engage in in-depth discussions on how companies can balance “distillation” and “generalization” in the AI era. **Background**: At the beginning of this year, U.S. software stocks plummeted by more than 20% due to the impact of large AI models, and the market initially believed that SaaS would be replaced by AI. However, later, companies like Salesforce and Workday saw positive performance, indicating that enterprise-owned data and process assets remain a moat that AI struggles to replicate. **Distillation (Why Invest?)**: Solving the question of “why it’s worth investing”. By refining the capabilities of general models, companies can transform their unique data, processes, and knowledge into reusable and reliable deep capabilities. **Generalization (Why Scale?)**: Solving the question of “why it’s possible to grow large”. Scaling these capabilities to become replicable and…