Conference - Knowledge Management

Knowledge Management 

Introduction 

Companies have tons of documents. 

The larger a company, the more knowledge is generated daily, stored partially, and managed in less-than-optimal manner. These issues are due to many factors, but the result is the same: time wasted on information retrieval, mistakes, loss of productivity, missed opportunities, often worst. 

Outline

Knowledge Management problem

• Key issues: hoarding, overload, no system, tacit knowledge,
• Dilemma: knowledge for humans vs knowledge for machines,

Solutions

• Existing solutions: database, document sharing, wiki,
• Better solutions: solve the dilemma with generative AI,
• Demonstration

Demonstration

• Information retrieval
• Semantic search
• Retrieve and process
• Process without translation

Q&A

Key Takeaways 

• Empowerment of Knowledge Workers: access to knowledge is critical to the success of knowledge workers.
• Current state of the art: very few companies have a great way of management one of their critical asset: knowledge.
• A new era: the potential of productivity gain through better knowledge management is probably the most promising deliverable of generative AI.

Speaker

Stephane Monsallier, CEO of  System in Motion

Technology expert who began coding at 10, founded Shanghai-based technology consulting firm System in Motion after graduating from CentraleSupelec. An influential figure in Shanghai's entrepreneurial community, he mentors at Orbit Ventures, advises startups, launched the EO Accelerator program, and co-founded La French Tech Shanghai. Currently focused on Generative AI, his expertise and eloquent keynotes make him a sought-after speaker and mentor.

Intervenant(s)

Stephane MonsallierCEO of System in Motion

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