Tim Persons on Generative AI Adoption, Budget Trends, and Organizational Change.
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In this conversation with Tim Persons, AI Leader at PwC, we explore the current landscape of generative AI adoption, examining how enterprises are navigating budget trends, moving from experimentation to full-scale deployment, and addressing cultural challenges along the way. We explore the importance of data strategy and governance, and how cross-functional collaboration and UX design play pivotal roles in AI project success. Additionally, we highlight use cases, ethical considerations, and the value of AI Centers of Excellence in driving AI innovation. The episode concludes with insights into AI governance and the democratization of AI within organizations. [This episode originally aired on Generative AI in the Real World, a podcast series I’m hosting for O’Reilly.]
Interview highlights – key sections from the video version:
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- Overview: Adoption of Generative AI in Enterprises
- Budget Trends: Increasing Investment in Generative AI
- Challenges: From Experimentation to Deployment
- Data Strategy: Importance of Customizing Data for AI
- Measuring Success: ROI and Evaluation of AI Models
- Cross-Functional Collaboration: AI as a Team Effort
- User Experience: Designing Effective AI Applications
- Use Cases: Generative AI in Internal and External Functions
- Top Applications: Customer Support and Business Automation
- Progress and Potential: The Future of AI Adoption
- Prioritizing Use Cases: Problem-Centric AI Development
- Best Practices: Sharing Learnings Across AI Teams
- AI Centers of Excellence: Fostering Innovation
- Workforce Training: Preparing Teams for Generative AI
- Learning by Doing: Promptathons and Interactive AI Training
Related content:
- A video version of this conversation is available on our YouTube channel.
- Why Your Generative AI Projects Are Failing
- Evangelos Simoudis → From Hype to Reality: The Current State of Enterprise Generative AI Adoption
- Andrew Burt → From Preparation to Recovery: Mastering AI Incident Response
- Andrew Ng → Advancing AI: Scaling, Data, Agents, Testing, and Ethical Considerations
- Inside the Data Strategies of Top AI Labs
- How Tech-Forward Organizations Build Custom AI Platforms: A Feature Breakdown
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