Unlock the Power of Data-Driven AI: Chat with your Data Use Case

Without a solid data foundation, your AI initiatives will crumble.

Revisit our virtual session at DataNext Trust Europe.

Paolo Platter, Co-Founder and CTO of Witboost discussed the pitfalls of "Chat with your data". Before that can happen, enterprise organizations need to consider their data foundation, including governance, business metadata, and documentation.

Here are some key moments from the session:

• Data Quality and Intelligibility: Paolo emphasizes the importance of high-quality data and data intelligibility for AI to make autonomous decisions. He explains how ambiguity in data can hinder AI's reliability and provides a practical example.
  
  
• Ontology Reasoning: The use of ontology reasoning to detect and resolve ambiguity in data queries is presented.
  
  
• Challenges in Data Governance: Paolo discusses the issues of missing semantic context, undocumented assets, and data duplication in large enterprises.
  
  
• Decentralized Governance Approach: Paolo proposes a decentralized approach to data governance, emphasizing the need for high-quality data products and semantic products. He explains how decentralization can make data intelligible, actionable, and AI-ready.
  
  
• Platformisation Initiative: Paolo introduces the concept of a data AI and knowledge platformisation initiative to enable the creation of data products, semantic products, and AI agents.
  
  
• Automated Governance: Paolo explains the need for automated governance and enforcement to ensure compliance with standards and policies. He describes how computational policies can be used to automate and enforce governance processes.
  
  
• Q&A Session

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