『Why Enterprise AI Keeps Failing (ep 95)』のカバーアート

Why Enterprise AI Keeps Failing (ep 95)

Why Enterprise AI Keeps Failing (ep 95)

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Andrew Boyd, GM Asia Pacific at Dataiku and former Microsoft and AWS executive, joins The Generalists to discuss why enterprise AI is entering a new phase. After two years of experimentation, businesses are shifting from building hundreds of AI agents to proving measurable business value.

In this episode, Andrew shares what he’s seeing across enterprises in Asia, why many organizations have far more AI agents than they realize, how governance and data foundations determine success, and why optionality across models may be one of the most important strategic decisions companies make over the next few years.

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🔔 Listen and Subscribe

  • YouTube: https://www.youtube.com/@TheGeneralistsPodcast
  • Spotify: https://open.spotify.com/show/2apfGY403NGr1EyTNkJfG4
  • Apple Podcasts: https://podcasts.apple.com/us/podcast/the-generalists/id1732609164


What You’ll Learn

  • Why enterprises are shifting from AI experimentation to measurable ROI
  • How one company thought it had built 500 agents but had actually built 2,000
  • Why giving everyone the ability to build agents can create cost, security, and governance problems
  • What separates useful enterprise AI from endless experimentation
  • Why governed data and clear access controls must come before agentic workflows
  • How Andrew uses AI agents to manage tasks, delegation, Slack, email, and call recordings
  • Why companies need model optionality instead of betting everything on one provider
  • How AI adoption in Asia differs from the US and Europe
  • Why on-premises, open-weight, and Chinese models are gaining traction across Asia
  • Why the biggest AI gains may require redesigning workflows instead of automating old processes


👤 Hosts

  • Michael Smith: https://www.linkedin.com/in/smittysgp/
  • Raz Kotler: https://www.linkedin.com/in/razkotler/


👤 Guest

  • Andrew Boyd: https://www.linkedin.com/in/andrewmboyd/


📚 Resources

  • Dataiku: https://www.dataiku.com/
  • Dataiku LLM Mesh: https://www.dataiku.com/product/llm-mesh/
  • Dataiku AI Governance: https://www.dataiku.com/product/ai-governance/
  • Claude: https://www.anthropic.com/claude
  • OpenRouter: https://openrouter.ai/
  • DeepSeek: https://www.deepseek.com/
  • Kimi: https://kimi.ai/
  • Thinking Machines Lab: https://thinkingmachines.ai/
  • Snowflake: https://www.snowflake.com/
  • Databricks: https://www.databricks.com/
  • AWS: https://aws.amazon.com/
  • Microsoft: https://www.microsoft.com/
  • Google Cloud: https://cloud.google.com/
  • Peloton: https://www.onepeloton.com/
  • Doctors Anywhere: https://www.doctorsanywhere.com/
  • WhiteCoat: https://www.whitecoat.global/
  • Motley Fool Australia: https://www.fool.com.au/
  • Gary Lineker: https://en.wikipedia.org/wiki/Gary_Lineker


#EnterpriseAI #AIStrategy #DigitalTransformation

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