Truist

In today’s episode, Chandra Kapireddy, head of generative AI, machine learning, and analytics at Truist, delves into the evolving landscape of AI with a particular focus on how GenAI tools reshape the way Truist and similar organizations must navigate model risk management and regulations. GenAI is more versatile than traditional AI, he notes, yet its flexibility introduces new challenges around ensuring model reliability, validating outputs, and making sure that AI-driven decisions don’t lead to unfair or opaque outcomes. Chandra’s responsible AI approach at Truist is focused on risk mitigation while emphasizing the importance of human oversight in high-stakes decision-making. He points out that while GenAI can vastly improve productivity by handling repetitive or analysis-heavy tasks, it’s essential to properly train employees in order to use the tools effectively and not over-rely on their outputs, especially given their tendency to hallucinate or produce inaccurate results. Read the episode transcript here. Guest bio Chandra Kapireddy is head of generative AI, machine learning, and analytics, at Truist. He brings over 27 years of experience building and leading world-class data, analytics, and artificial intelligence teams to the financial services firm. Kapireddy has held key leadership positions at some of the industry’s leading companies, including Capital One, Wells Fargo, Bank of America, Oracle, and Amazon Web Services. Most recently, he served as managing director and head of AI/ML products for JPMorgan Chase, where he served on the firm’s AI Executive Council, which influences its strategy, products, controls, and governance. Me, Myself, and AI is a collaborative podcast from MIT Sloan Management Review and Boston Consulting Group and is hosted by Sam Ransbotham and Shervin Khodabandeh. Our engineer is David Lishansky, and the executive producer is Allison Ryder. Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders or by following Me, Myself, and AI on LinkedIn. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.

Chandra Kapireddy

Head of Generative AI, Machine Learning, and Analytics

Truist

Summary The position of Chief Data Officer (CDO) is relatively new in the business world and has not been universally adopted. As a result, not everyone understands what the responsibilities of the role are, when you need one, and how to hire for it. In this episode Tracy Daniels, CDO of Truist, shares her journey into the position, her responsibilities, and her relationship to the data professionals in her organization. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. 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RudderStack helps you build a customer data platform on your warehouse or data lake. Instead of trapping data in a black box, they enable you to easily collect customer data from the entire stack and build an identity graph on your warehouse, giving you full visibility and control. Their SDKs make event streaming from any app or website easy, and their state-of-the-art reverse ETL pipelines enable you to send enriched data to any cloud tool. Sign up free… or just get the free t-shirt for being a listener of the Data Engineering Podcast at dataengineeringpodcast.com/rudder. The only thing worse than having bad data is not knowing that you have it. With Bigeye’s data observability platform, if there is an issue with your data or data pipelines you’ll know right away and can get it fixed before the business is impacted. Bigeye let’s data teams measure, improve, and communicate the quality of your data to company stakeholders. With complete API access, a user-friendly interface, and automated yet flexible alerting, you’ve got everything you need to establish and maintain trust in your data. Go to dataengineeringpodcast.com/bigeye today to sign up and start trusting your analyses. Your host is Tobias Macey and today I’m interviewing Tracy Daniels about the role and responsibilities of the Chief Data Officer and how it is evolving along with the ecosystem Interview Introduction How did you get involved in the area of data management? Can you describe what your path to CDO of Truist has been? As a CDO, what are your responsibilities and scope of influence? Not every organization has an explicit position for the CDO. What are the factors that determine when that should be a distinct role? What is the relationship and potential overlap with a CTO? As the CDO of Truist, what are some of the projects/activities that are vying for your time and attention? Can you share the composition of your teams and how you think about organizational structure and integration for data professionals in your company? What are the industry and business trends that are having the greatest impact on your work as a CDO? How has your role evolved over the past few years? What are some of the organizational politics/pressures that you have had to navigate to achieve your objectives? What are some of the ways that priorities at the C-level can be at cross purposes to that of the CDO? What are some of the skills and experiences that you have found most useful in your work as CDO? What are the most interesting, innovative, or unexpected ways that you have seen the CDO position/responsibilities addressed in other organizations? What are the most interesting, unexpected, or challenging lessons that you have learned while working as a CDO? When is a distinct CDO position the wrong choice for an organization? What advice do you have for anyone who is interested in charting a career path to the CDO seat? Contact Info LinkedIn Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? Links Truist Chief Data Officer Chief Analytics Officer The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA Support Data Engineering Podcast

Tracy Daniels

Chief Data Officer

Truist