People and AI: Explore the Latest Advances, Research, and Risks of Artificial Intelligence

Barclays CDO & CIO Data Sheetal Patole

Episode Summary

Sheetal Patole is the CDO & CIO for customer engagement, data, insights, and operations at Barclays UK. Her range of experience spans from healthcare to mining, and she has always been focused on introducing new technology to transform organizations. In this episode, Sheetal shares some of the use cases that she has worked on during her career, and how AI is used in combination with data, hardware, and software to solve real business problems.

Episode Notes

The use of AI in the context of enterprise is commonly misunderstood, but today’s guest is an expert in this field, and she joins us today to dispel some pervasive myths. Sheetal Patole is currently the CIO for customer engagement, data, insights, and operations at Barclays UK. Her prior range of experience spans from healthcare to mining, but she has always been focused on introducing new technology to transform organizations. In this episode, Sheetal shares some of the use cases that she has worked on during her career, and how she uses a combination of data, hardware, and software to solve real problems that businesses are experiencing. She also explains what is needed to implement AI at scale, why you shouldn’t wed yourself to particular models and techniques, what can be done about the problem of talent acquisition being faced by the AI industry, the importance of AI governance in real-time, and why, despite what you may have heard, AI really does need people! 

Key Points From This Episode:

• The breadth of experience and field of expertise of today’s guest, Sheetal Patole.
• Sheetal explains the purpose of AI in the context of an enterprise, which is commonly misunderstood.
• Examples of the different ways that AI is used in different industries.
• Benefits of the autonomous trucks that are being used on mines.
• Sheetal shares how she and her team used AI to solve a transportation challenge.
• How to determine whether a business challenge can be solved using AI.
• Dos and don’ts when it comes to putting together a strategy for solving a business problem.
• The importance of having a coherent and mature strategy across an entire organization before implementing AI at scale.
• How to cultivate a level of maturity in an organization.
• Sheetal’s recommendation for navigating inter-team dynamics in an organization.
• A challenge that the AI industry is currently facing, and Sheetal’s thoughts on how it can be combated.
• AI governance in real-time; Sheetal shares her thoughts on why this is necessary, and how it should be implemented.
• What Sheetal wishes she could do differently, advice to her younger self, and an element of the AI realm that she overestimated.

Tweetables:

“Using data intelligently and moving away from a system of record to a system of intelligence that allows your organization to learn from this information and data sets to drive change.” — Sheetal Patole [0:03:18]

“[AI] has never been something just purely to make money, it’s been to transform the organization from where it is, and it’s always gone to somewhere better.” — Sheetal Patole [0:08:36]

“If you want to do data analytics and AI at scale, you need to build a level of maturity in your organization to be able to do it. The way you build that maturity is first to centralize the team.” — Sheetal Patole [0:27:57]

“AI is not a mythical creature or black box, it requires human beings.” — Sheetal Patole [0:38:35]

Links Mentioned in Today’s Episode:

Sheetal Patole on LinkedIn

Barclays UK