Data Science Salon Podcast

In this episode, Anna sits down with two leaders in the finance industry, exploring the forefront of AI and ML innovations. First, we have Mabu Manaileng, Lead Data Scientist at Standard Bank Group. Mabu shares his journey and current role, highlights the challenges of applied data science in the financial sector, and discusses the transformative impact of AI on banking in the coming years. Next, we welcome Adam Lieberman, Head of AI and ML at Finastra. Adam defines the concept of drift, discusses statistical measures to quantify it, and provides strategies for maintaining model health, ensuring that models continue to serve users' needs effectively.

In this episode, Anna sits down with two leaders in the finance industry, exploring the forefront of AI, ML, and ESG innovations. First, let's welcome Laura Gabrysiak, Data Science Leader at Visa. Laura develops statistical models and decision analytics tools that enable Visa clients to transform massive amounts of data into actionable ML models and AI implementations. She's also passionate about fostering the local data science community in Miami as the Founder of R-Ladies Miami. In this conversation, they dive into the future of ML/AI in financial services and the impactful work being done with Code Art to promote diversity in tech. Next, we have Rochelle March, former Head of ESG Product at Dun & Bradstreet. Rochelle specializes in impact analysis related to carbon, water, and the Sustainable Development Goals, and applies machine learning to ESG products. She also teaches data and analytics at Bard College’s MBA program, sits on the advisory board for USL Technology, Inc., and mentors fellows in the Environmental Defense Fund’s Climate Corps program. Since recording this episode, Rochelle has started her own company, People Places Words Actions. In our discussion, we explore her journey in ESG innovation and analytics, why ESG data is crucial for responsible investment decisions, and how it drives sustainable business practices. Tune in to learn from these industry thought leaders and gain insights into the cutting-edge applications of AI and ESG data in the finance sector.

In this episode, Anna sits down with two distinguished leaders in the ML/AI finance industry. First, we have Harry Mendell, Technology Group Data Architect at the Federal Reserve Bank of New York, who brings over 30 years of expertise in FinTech. Harry shares compelling stories and discusses emerging trends in the finance sector. Following Harry, Supreet Kaur, AVP at Morgan Stanley and product owner for various AI products, joins the conversation. Supreet provides insights into the use of synthetic data to protect customer privacy in FinTech, ensuring informed decision-making. This deep dive into synthetic data highlights its growing importance in the industry.

Join us for Driving Business Impact with AI: A Conversation with Maddie Daianu of Credit Karma. In this episode of the Data Science Salon Podcast, host Anna Anisin sits down with Maddie Daianu, Head of Data & AI at Credit Karma and former executive at Meta, to explore how AI, machine learning, and data-driven strategy can fuel enterprise-wide transformation. With a proven track record of driving revenue growth and innovation through AI, Maddie shares her approach to aligning ML initiatives with business outcomes, scaling high-performing teams, and influencing executive stakeholders around data-led opportunities. This conversation covers everything from monetization and predictive analytics to building a collaborative culture between technical and non-technical teams. Maddie also offers practical advice for data leaders navigating complex industries like fintech, and her perspective on the trends shaping the future of AI in business. Whether you’re leading a data team or just beginning to build one, this episode offers actionable insights on harnessing the power of AI to drive meaningful impact at scale. Tune in to gain leadership insights from one of the data industry's most influential figures and learn how you can contribute to a more diverse and inclusive data science landscape. Learn more about ML/AI in Finance at DSS NYC on May 15: https://www.datascience.salon/newyork/