In this episode of GydeBites, host Prasanna Vaidya speaks with Ari Lehavi about why enterprise decision-making remains slow despite significant investments in data and AI. Ari explores the key barriers to AI adoption, including organizational silos, trust concerns, governance challenges, and data readiness issues.
He explains how organizations can move beyond relying on individual expertise by capturing decision traces, institutionalizing organizational knowledge, and building systems that continuously improve decision-making across teams. The conversation also examines how AI can help organizations make better use of their data and create more transparent and scalable decision-making processes.
Whether you're leading AI initiatives, driving digital transformation, or building the next generation of intelligent organizations, this episode offers valuable insights and practical takeaways.
Questions covered in this episode:
Why are enterprise decisions still slow despite data and AI?
How can organizations move from individual judgment to institutional intelligence?
What prevents consistent use of data in decision-making across teams?
How can leaders build trust in AI-driven decisions?
What does a mature enterprise decision system look like, and where should teams start?
