Episode 162: Why AI Strategy Fails Without Better Inputs discussion with Devendra Sharma and Andrew Gaule

About this episode

Andrew Gaule discusses the practical realities of implementing AI in organizations with Devendra Sharma, focusing on the importance of data and inputs.

In this episode of Gaule’s Question Time, Andrew Gaule speaks with Devendra Sharma, Chief Data and AI Officer at Exadel, about the practical realities of implementing AI in organisations. They discuss why AI is not magic, why data and inputs matter, how leaders should identify use cases, and why organisations need to redesign processes before applying AI. The conversation also covers governance, compliance, agentic AI risks, human in the loop review, knowledge management and software development. Chapters 00:00 Introduction to Devendra Sharma 02:00 What AI really means beyond ChatGPT and Copilot 05:00 The pizza and Ferrari analogies for AI adoption 10:00 Why many organisations do not know where to start 13:00 Use cases, business value and measurable outcomes 17:00 Why automating poor processes is not success 23:00 Practical starting points for AI adoption 26:00 Governance, compliance and agentic AI risk 31:00 AI, jobs and human augmentation 36:00 Software development, review and human in the loop 40:00 Final reflections on AI as a support tool For corporate leaders planning AI implementation, connect with Andrew to discuss a structured review of AI use cases, value, governance…

People in this episode

Host: Andrew Gaule

Guest: Devendra Sharma

Topics covered

• AI strategy
• data inputs
• organizational processes
• governance
• compliance
• human augmentation
• software development

Keywords

• AI implementation
• data governance
• use cases
• business value
• human in the loop
• agentic AI risks
• process redesign

Mentioned in this episode

Organizations: Exadel

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