Data Science Salon Podcast

• Driving Business Impact with AI: A Conversation with Maddie Daianu of Credit Karma

  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/

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• Beyond the Numbers: Leadership, Diversity, and Data

  Join us on "Beyond the Numbers: Leadership, Diversity, and Data with Natalie Cramp, Partner at JMAN Group," where we dive deep into the intersections of data science, leadership, and advocacy for diversity. Each episode, hosted by Natalie Cramp, offers an exploration of how data-driven strategies can reshape industries and enhance decision-making processes. Natalie brings nearly two decades of experience across private, public, and third sectors, providing unique insights into mobilizing technology and people to address complex challenges. In this series, we'll uncover the transformative power of data in driving business success and societal change. Natalie will share her expertise in scaling organizations, entering new markets, and leading significant transformations. Additionally, we focus on her passionate work in promoting gender equality in healthcare through data, offering listeners actionable insights and inspiration to leverage data for impactful change. Whether you're a CEO looking to harness the potential of AI, a data professional aiming to advance in the tech field, or someone interested in the crucial role of data ethics and education, this podcast will equip you with the knowledge and perspectives needed to lead effectively in today's data-centric world. 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 Leadership in AI/ML at DSS SEA on April 16 https://www.datascience.salon/seattle/

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• Bridging AI and Business: Conversational AI & Communicating Data Value

  In this episode of the Data Science Salon Podcast, host Anna Anisin sits down with two incredible leaders driving innovation in AI and data science. First, Noelle Russell, CEO at AI Leadership Institute, shares her expertise on Conversational AI and intelligent contact centers. She discusses how companies can leverage AI-driven solutions to enhance customer experiences, streamline operations, and overcome key challenges in implementing intelligent engagement strategies. Noelle also highlights her experience leading AI initiatives at top tech companies, offering a unique perspective on the evolving role of AI in business. Next, Amarita Natt, Managing Director of Data Science at Econ One Research, dives into one of the biggest challenges in data science: communicating the value of AI and ML projects to business leaders and clients. She explores the common disconnect between technical teams and executives, sharing strategies for framing data insights in a way that drives decision-making and measurable impact. Both guests provide valuable takeaways for data professionals looking to bridge the gap between AI technology and real-world business success. Tune in for an engaging conversation on AI adoption, communication strategies, and the future of intelligent systems in business!

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• AI for Good: Generative AI’s Impact & Elevating Women in STEM

  In this episode of the Data Science Salon Podcast, host Anna Anisin sits down with two powerhouse leaders shaping the future of AI and inclusivity in tech. First, Jennetta George, SVP of AI at AlixPartners & CEO of Artificially Intelligent, shares her expertise on leveraging Generative AI for real-world impact. From forecasting market trends in finance to optimizing operations in healthcare and insurance, Jennetta dives into how LLMs are moving beyond hype into practical enterprise adoption. She also discusses strategies for navigating AI challenges and how businesses can harness AI for competitive advantage. Next, Anna is joined by Eve Psalti, Principal Group Program Manager at Microsoft and a passionate advocate for women in STEM. Eve highlights the barriers women still face in tech and the steps needed to foster a more inclusive industry. She shares insights on mentorship, hiring practices, and the importance of diverse leadership in AI and data science. Both guests provide invaluable perspectives on the evolving AI landscape and the role of diversity in driving innovation. Tune in to explore the intersection of AI, business transformation, and inclusivity in tech!

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• Building Data Excellence at Nordstrom: Scaling Standards & Measurement for Impact

  In this episode of the Data Science Salon Podcast, host Anna Anisin sits down with two data leaders from Nordstrom to explore how organizations can build a culture of technical excellence and measurement in data science. First, Gina Schmalzle, Principal Data Scientist at Nordstrom, shares her experience leading the Technical Excellence Initiative within the company’s data science and analytics organization. She discusses the challenges of scaling data teams, the importance of setting standards for efficiency and collaboration, and how MLOps and feature stores can streamline data science workflows. Gina provides practical insights into creating high-quality, scalable data solutions that drive business impact. Next, Kevin Haynes, former Program Manager at Nordstrom, takes us into the world of "Eating Your Own Dog Food"—Building a Culture of Measurement for Data Products. He explores why internal metrics are essential for validating and improving data-driven solutions and how data teams can adopt a product mindset when developing internal tools. Kevin also shares his approach to fostering an engaging, high-impact team culture while ensuring that measurement and accountability remain at the core of data initiatives. Both guests offer interesting insights into building sustainable, high-performing data organizations in today’s evolving AI and data landscape. Tune in to learn actionable strategies from two data leaders shaping the future of AI and analytics.

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