Enterprise A.I. Strategy, Knowledge Management and more - Rachad Najjar - The Earley AI Podcast with Seth Earley - Episode #037

Today’s guest is Rachad Najjar, working the forefront of innovation in the fields of organizational learning and knowledge management for nearly a decade. Prior to this, he served as a knowledge management advisor for the Dubai Land Department, where he played a pivotal role in achieving the EFQM Excellence Award. Notably, he's also a co-author of a recent book on knowledge management and research innovation, alongside numerous scientific publications in prestigious journals. In his ground breaking thesis, he introduced a framework to configure collaboration for virtual collectives, improving effectiveness across various professional contexts. Rachad joins Seth Earley and Chris Featherstone to the discuss his insights on AI, knowledge management, enterprise strategy implementation and more.


Takeaways:

• Seven guiding principles for a successful AI strategy, including a strong business case, process integration, quality training data, continuous supervision, powerful computing infrastructure, and AI and ML skills.
• AI governance should involve diverse expertise, including legal, supply chain, project management, and knowledge management.
• Focus on how generative AI is adding value in knowledge management and learning, particularly in areas such as customer support, search, learning, and marketing.

Quote of the Show:

• "AI models heavily depend on the quality of the training data, so quality in and quality out."

              - Rachad Najjar

• Links:
  • LinkedIn: https://www.linkedin.com/in/rachadbn/
  • Article: 7 Guiding Principles of a Successful Enterprise AI Strategy
  • Article: A conversation between a knowledge sharing advocate and a knowledge sharing skeptic
  • Article: AI Integration Strategy for Learning and Knowledge Management Solutions
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