Data & AI In Regulated Industries Brian Price & Tony Cassin Scott, Co-Founders Of The Data Practice The Praxi Pod podcast

Data & AI in Regulated Industries Brian Price & Tony Cassin Scott, Co-Founders of The Data Practice

1M ago 50:07

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In this episode of the Praxi Pod, host Andrew Turner engages with data experts Brian Price and Tony Cassin-Scott to explore the evolving landscape of data and AI. They discuss the importance of focusing on business outcomes rather than just technology, the challenges of data governance, and the need for organisations to understand the value of their data. The conversation highlights the risks associated with the AI hype and emphasises the necessity of foundational data capabilities for successful implementation. As they look ahead to 2026, the experts provide insights on how businesses can prepare for the future by starting small and proving value before scaling up their data initiatives.

Takeaways

- Data should be viewed through the lens of business outcomes, not just technology.

- Organisations often focus too much on technology rather than the value of data.

- Everyone in the organization should be passionate about data ownership.

- Data governance should enable decision-making rather than prevent it.

- Understanding the risks associated with data is crucial for effective governance.

- AI should not be seen as a simple out-of-the-box solution; it requires careful planning.

- Start small with data initiatives to prove value before scaling up.

- The hype around AI can lead to shadow AI activities that pose risks.

- Cultural change is necessary for effective data governance and utilization.

- Organisations need to define clear objectives for their data strategies.

Chapters

00:00 Introduction to Data and AI

01:29 Expert Backgrounds in Data

04:56 Shifting Focus from Technology to Business Outcomes

10:19 Understanding Data Governance and Its Role

15:54 The Importance of Organizational Design in Data Management

19:22 The Role of CDOs and Data Ownership

22:33 Challenges in AI Implementation and Accountability

26:07 Understanding the Black Box of Data

27:57 Cultural Implications of AI Usage

29:30 Navigating Technology Investments

30:49 The Challenge of Proving Value

32:35 The Role of AI in Cost Savings

34:34 The Shadow Side of AI Adoption

36:44 The Consumerization of AI

39:06 Foundational Data Challenges

40:33 The Importance of Business Objectives

43:04 Final Thoughts for Executives

Brian Price https://www.linkedin.com/in/brianprice4/

Tony Cassin-Scott https://www.linkedin.com/in/tonycassinscott/

The Data Practice https://www.linkedin.com/company/thedatapractice/

26 episodes