In this episode, Hari Kodakalla, the Head of Data Analytics at Frost Bank, joins the podcast to discuss responsible AI and the challenges of last-mile adoption. They explore topics such as regulatory protection from a customer perspective, the composition of an effective AI team, and the ongoing importance of human involvement in AI processes. The conversation delves into the impact of AI and machine learning in various areas, including deepfake videos and content issues. The concept of responsible AI is explored, highlighting the need for ethical and accountable use of AI technology.
Highlights
[00:00:56] Responsible AI explained.
[00:04:20] The governance aspect of AI implementation.
[00:11:56] Trust and transparency in AI.
[00:14:48] Responsible AI implementation.
[00:19:51] Responsible AI in corporate environments.
[00:22:39] The impact of the cloud on cybersecurity.
[00:26:45] Responsible AI in an AI-driven world.
Hari Kodakalla is the Head of Data and Analytics at Frost Bank, with over 27 years of experience in various industries. Hari is a visionary leader in the field of data-driven transformation. He has a track record of leveraging technology to drive impactful change and has held executive positions in innovative technology companies specializing in big data and analytics.
Hari is known for turning data into actionable insights using AI and ML and has championed a data-centric culture at Frost Bank. Under his leadership, Frost Bank has seen transformative outcomes, including optimized propensity models, streamlined operations, and personalized customer interactions. Hari advocates for embracing cutting-edge technologies like Gen-Ai and is recognized as a leading authority for adopting AI in his bank. He holds an MBA from the University of Texas @ Dallas and is dedicated to steering Frost Bank toward a data-driven future. You can connect with him on LinkedIn: https://www.linkedin.com/in/harikodakalla
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