Data Science Salon Podcast

By Dat Science Salon

The official podcast of Data Science Salon. We interview top and rising luminaries in data science, machine learning, and AI on the trends and business use cases that are propelling the field forward.... more

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FAQs about Data Science Salon Podcast:

How many episodes does Data Science Salon Podcast have?

The podcast currently has 58 episodes available.

Data Science Salon Podcast episodes:

November 25, 2025Ethical AI and Data Science with Kelly Vincent
Kelly discusses how ethical considerations influence machine learning, NLP, and data quality, and how organizations can integrate human-centered thinking into technical decision-making. They also share insights from their upcoming book, The Friendly Guide to Data Science, aimed at making the field accessible, ethical, and practical.
Key Highlights:
Ethical AI in Practice: How to incorporate ethics and human-centered principles into data science projects.
Behavioral Economics & Decision-Making: How understanding human behavior informs AI and tech strategies.
Making Data Science Accessible: Kelly’s approach to mentoring, writing, and teaching the next generation of data scientists.
🎧 Tune in to Episode 58 to hear Kelly Vincent’s insights on ethical AI, data science, and technology for good.
Be sure to mark your calendars for the 7th annual DSS NYC on Dec 11, where we will focus on THE FUTURE OF APPLIED AI IN Finance and Banking. Join us to hear from experts on how AI is shaping the future of the enterprise. https://www.datascience.salon/newyork/
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24min
November 12, 2025From Code to Scale: Building SaaS and AI Products That Deliver Value
Swarnendu De dives into frameworks like the SaaS Product Success Strategy™ and TechBlueprint Architecture Framework™, and shares insights on turning product ideas into execution-ready roadmaps, designing modular and scalable systems, and creating AI-powered business automation.
Key Highlights:
Building Scalable SaaS & AI Products: Learn Swarnendu’s approach to designing modular, cloud-native systems that meet investor expectations and real-world demands.
AI for Business Automation: Discover how AI can be integrated where it drives real value—automating workflows, improving decision-making, and enhancing product experiences.
Mentoring & Leadership: Insights into coaching tech leaders and founders, aligning technology with business goals, and accelerating team performance.
From Vision to Execution: Explore Swarnendu’s process for taking a concept through rapid workshops, validation, and execution-ready roadmaps.
🎧 Tune in to Episode 57 to hear how Swarnendu De is turning ideas into high-performing, scalable software products, and creating frameworks and strategies that empower teams, founders, and enterprises alike.
Be sure to mark your calendars for the 3rd annual DSS NYC on Dec 11, where we will focus on GENAI AND INTELLIGENT AGENTS IN FINANCE & BANKING. Join us to hear from experts on how AI is shaping the future of the finance, banking and insurance. https://www.datascience.salon/newyork/
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25min
October 21, 2025 Always-On Customer Care: How AI Agents Are Transforming Support
In this episode of the Data Science Salon Podcast, we sit down with Nitin Kumar, Director of Data Science at Marriott International, to discuss how AI agents are transforming customer support. Nitin shares his experience designing enterprise-scale AI and Generative AI solutions across 30 global brands, creating intelligent, proactive, and human-centered customer care systems.
He dives into AI-powered pipelines that monitor incoming emails, analyze sentiment and issues, and draft contextual responses for human agents to review. Beyond individual cases, these systems continuously feed real-time trend data, helping teams identify emerging issues before they become widespread.
Key Highlights:
-AI Agents in Customer Support: Learn how AI agents automate routine processes while empowering human agents to focus on complex interactions.
-Human-in-the-Loop Design: Explore strategies for balancing AI efficiency with human oversight and empathy.
-Scaling AI Solutions: Insights into LLM integration, prompt engineering, and global deployment of enterprise AI systems.
🎧 Tune in to Episode 56 to hear how Nitin Kumar is revolutionizing customer support with AI agents and Generative AI to create more efficient, empathetic, and scalable systems.
Be sure to mark your calendars for the 3rd annual DSS SF on Nov 6 [FREE!] thanks to our amazing sponsors, where we will focus on GENAI AND INTELLIGENT AGENTS IN THE ENTERPRISE. Join us to hear from experts on how AI is shaping the future of the enterprise. https://www.datascience.salon/san-francisco/
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33min
October 08, 2025 Responsible AI and the Future of Machine Learning
In this episode of the Data Science Salon Podcast, we sit down with Swati Tyagi, an AI/ML expert and responsible AI advocate. With deep expertise in large language models (LLMs), generative AI, and AI automation, Swati has led AI-driven innovation in FinTech, healthcare, and finance, helping organizations build scalable, ethical AI systems.
Currently at JPMorgan Chase, Swati’s work focuses on automating financial applications and leveraging LLMs for real-time inferencing. Her passion for responsible AI is central to her approach, ensuring that AI systems are not only powerful but also ethical and scalable.
Key Highlights:
-AI and FinTech: Swati discusses her work in credit risk and predictive modeling to optimize financial decision-making and risk assessment.
-Responsible AI: Insight into how to design AI systems that are both scalable and ethical, addressing challenges around bias and NLP.
-AI Automation in Finance: Learn how LLMs are transforming FinTech, and how MLOps and cloud solutions play a role in scaling these applications.
🎧 Tune in to Episode 55 to hear Swati’s insights on the future of AI/ML, responsible AI, and how AI is reshaping industries like finance and healthcare.
Be sure to mark your calendars for DSS SF on Nov 6, where we will focus on GENAI AND INTELLIGENT AGENTS IN THE ENTERPRISE. Join us to hear from experts on how AI is shaping the future of the enterprise. FREE COMMUNITY EVENT (space is limited) https://luma.com/dsssf
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29min
August 19, 2025 Transforming the Workplace: Practical Strategies for Organizational Success with Melissa Swift
In this episode of the Data Science Salon Podcast, we sit down with Melissa Swift, Founder & CEO of Anthrome Insight, and expert in organizational transformation. With over a decade of experience, Melissa partners with organizations to tackle complex challenges using data analytics, pragmatism, and a humanist approach to leadership and workplace development.
Melissa is also the author of "Work Here Now: Think Like a Human and Build a Powerhouse Workplace", where she shares 90 actionable strategies for creating a workplace that fosters change, adapts to new demands, and builds resilient teams.
Key Highlights:
-Workplace Transformation: Learn how data analytics and humanist leadership principles are used to unlock extraordinary outcomes in the workplace.
-Practical Strategies for Success: Melissa discusses 90 strategies from her book, focusing on the skills and behaviors organizations need to thrive in a changing work environment.
-Solving Wicked Problems: Melissa shares how she’s helped organizations tackle complex challenges and create lasting change.
-Leadership in the Future of Work: What makes a great leader in today’s rapidly evolving workplace, and how can leaders prepare for the challenges ahead?
🎧 Tune in to Episode 54 to hear how Melissa Swift is helping organizations and leaders build the workplaces of the future.
Be sure to mark your calendars for DSS MIA on Sept 17, where we will focus on THE FUTURE OF APPLIED AI IN THE ENTERPRISE.
Join us to hear from experts on how AI is shaping the future of the enterprise. https://www.datascience.salon/miami/
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24min
August 05, 2025 Empowering Change: Neha Mehta’s Vision for FinTech, Sustainability & Financial Inclusion
DSS Podcast Episode 53: Empowering Change: Neha Mehta’s Vision for FinTech, Sustainability & Financial Inclusion
In this episode of the Data Science Salon Podcast, we sit down with Neha Mehta, a globally recognized FinTech leader, AI expert, and sustainability advocate. As the Founder and CEO of FemTech Partners, Neha has spent over 19 years transforming the financial landscape, focusing on financial inclusion, women’s empowerment, and sustainable development. She is also the author of One Stop, a bestselling book that explores the potential of Super Apps in reshaping financial services for underserved populations.
In this conversation, Neha shares her journey from pioneering FinTech solutions to advancing Sustainable Development Goals (SDGs), her work in ClimateTech, and how AI can drive financial inclusivity. She also discusses her vision for the future of sustainable finance, her work with blue economy initiatives, and the impact of technology on climate action.
Key Highlights:
-AI for Financial Inclusion: Neha discusses how Super Apps are bridging the financial divide, enabling better access to financial services in underserved markets, and empowering women entrepreneurs.
-Building Sustainable Financial Ecosystems: Learn about Neha’s approach to integrating Sustainable Development Goals (SDGs) into financial ecosystems, especially focusing on climate finance and the blue economy.
-Leadership in FinTech & Sustainability: Neha shares her leadership journey and how she’s shaping a more inclusive, equitable future in FinTech and sustainable finance.
-Global Impact & Mentorship: Insight into Neha’s mentorship and advocacy for fostering diversity in the tech and finance industries, and how she’s helping the next generation of leaders rise in these fields.
Whether you’re an entrepreneur, FinTech innovator, or passionate about sustainability, this episode offers valuable insights into how technology is driving inclusive growth, transforming financial services, and powering climate solutions.
🎧 Tune in to Episode 53 to hear how Neha is creating impactful change at the intersection of FinTech, sustainability, and empowerment!
Be sure to mark your calendars for DSS MIA on September 17, where we will focus on THE FUTURE OF APPLIED AI IN THE ENTERPRISE. Join us to hear from experts on how AI is shaping the future of applied AI. https://www.datascience.salon/miami/
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33min
July 22, 2025 Agentic AI and the Future of Compliance: Revolutionizing Decision-Making and Risk Management in FinTech
In this episode of the Data Science Salon Podcast, we sit down with Kalpan Dharamshi, VP at JP Morgan Chase, and a leader in Machine Learning and Cloud Architecture. Kalpan shares his journey from cloud architecture to AI-driven compliance solutions and how his work is transforming decision-making processes in the FinTech industry.
Kalpan’s focus on Agentic AI—autonomous systems that can handle compliance, risk management, and real-time decision-making—has reshaped the way financial institutions manage compliance. He discusses how large language models (LLMs) and AI agents can automate and scale compliance procedures, making them proactive, accurate, and cost-effective.
Key Highlights:
-Agentic AI in FinTech: How Agentic AI is automating continuous monitoring and compliance in the financial services industry.
-Machine Learning for Compliance: How AI can interpret unstructured data and ensure real-time policy adherence in highly dynamic industries.
-The Future of AI in Decision-Making: Kalpan’s vision for the future of AI-driven decision-making and automated risk management.
-Make sure to catch Kalpan at the https://appliedaisummit.org/ for free
🎧 Tune in to Episode 52 to hear how Kalpan Dharamshi is shaping the future of AI and compliance in the FinTech industry!
Be sure to mark your calendars for DSS NYC on December 11, where we will focus on finance and banking—exploring the latest trends in AI and financial regulation. Join us to hear from experts on how AI is shaping the future of finance. https://www.datascience.salon/newyork/
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24min
July 15, 2025 Beyond the Model: Engineering Trust, Scale & Speed in AI-Powered Systems
In this episode of the Data Science Salon Podcast, we sit down with Anusha Nerella, a seasoned technology leader and Senior Principal Software Engineer at State Street Corporation. With over a decade of experience across top-tier institutions like Barclaycard, Citibank, and USPTO, Anusha brings deep technical expertise in AI/ML automation, enterprise engineering, and scalable financial systems.
In this conversation, Anusha shares her journey from software development to leading enterprise-scale AI initiatives, her work in high-frequency trading and automation frameworks, and her passion for mentoring and advancing the next generation of tech talent.
Key Highlights:
Engineering with Purpose: Anusha walks us through how she’s building intelligent, AI-powered automation frameworks to optimize performance and reliability in financial systems at scale.
Bridging Code & Vision: A look at how her work integrates AI, DevOps, and big data architecture to deliver long-lasting, strategic impact within complex enterprise environments.
Leading with Intention: Anusha discusses the role of mentorship, community involvement, and advocacy in shaping a more inclusive and innovative future in tech.
The Future of AI Automation: Insight into where the industry is heading—from operationalizing machine learning to driving cross-industry transformation with intelligent systems.
Whether you’re a technical founder, enterprise leader, or aspiring AI engineer, this episode offers a deep dive into how real-world AI systems are built, scaled, and delivered with precision and purpose.
🎧 Tune in to Episode 51 and get inspired by how Anusha is redefining enterprise innovation through applied AI and automation!
Be sure to mark your calendars for DSS NYC on December 11, where we will focus on finance and banking—exploring the latest trends in AI and financial regulation. Join us to hear from experts on how AI is shaping the future of finance. https://www.datascience.salon/newyork/
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22min
June 24, 2025 Architecting AI-Driven Financial Systems: Innovation at the Intersection of Fintech and Emerging Tech
In this episode of the Data Science Salon Podcast, we sit down with Sasibhushan Rao Chanthati, AVP and Senior Software Engineer at T. Rowe Price, where he’s building the future of finance through intelligent, scalable technologies.
Sasi specializes in creating secure digital ecosystems and real-time analytics platforms that power AI-driven decision making at scale. With a background that spans research, software engineering, and cloud architecture, he’s pushing the boundaries of what’s possible at the intersection of fintech, automation, and enterprise AI.
In this episode, Sasi shares insights from over a decade of experience building next-gen systems across the financial sector, his passion for ethical innovation, and what it really takes to build future-ready, inclusive AI infrastructure.
Key Highlights:
Sasibhushan walks us through the technical backbone of modern financial infrastructure and how AI is redefining intelligent automation.
Real-world examples of building decision support systems using ServiceNow, AWS, and LLMs.
Thoughts on balancing academic research with enterprise-scale engineering—and why that blend drives better innovation.
Insights on the ethics and governance challenges facing enterprise AI adoption.
Advice for up-and-coming engineers and researchers entering today’s fast-evolving AI landscape.
This episode is a must-listen for data scientists, engineers, technical leaders, and anyone interested in how automation, AI, and cloud technologies are transforming the global financial ecosystem.
🎧 Tune in to Episode 50 to hear how Sasibhushan is shaping the future of financial systems with applied AI and inclusive innovation.
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30min
June 17, 2025 Proactive by Design: How AI Predicts and Prevents Failures
In this episode of the Data Science Salon Podcast, we sit down with Vishnupriya Devarajulu, a Software Engineer specializing in AI- and ML-driven performance optimization for large-scale enterprise systems. With deep expertise in backend engineering, system diagnostics, and intelligent test automation, Priya is redefining how organizations build systems that don’t just respond—they anticipate.
Priya walks us through her work designing adaptive frameworks that use machine learning to forecast system bottlenecks, improve latency, and optimize performance in high-stakes environments like finance.
Key Highlights:
Priya explains how she transforms traditional automation into self-learning, AI-powered frameworks using models like Random Forest to proactively identify and solve system issues.
A deep dive into building ML-integrated performance pipelines that can adapt over time, dynamically suggest test scenarios, and drive smarter, faster, and more resilient systems.
Insights into how predictive performance engineering is being applied in domains where speed and reliability are non-negotiable—and how to architect systems for it.
Priya shares her perspective as a speaker and published researcher, and where she sees the future of intelligent infrastructure and AI-powered diagnostics heading next.
Whether you're a systems engineer, ML practitioner, or enterprise leader exploring how AI can boost operational efficiency, this episode offers a powerful look at what happens when machine learning meets performance engineering.
🎧 Tune in to Episode 49 and discover how Priya is building the future of intelligent systems—one prediction at a time.
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22min

FAQs about Data Science Salon Podcast:

How many episodes does Data Science Salon Podcast have?

The podcast currently has 58 episodes available.

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Data Science Salon Podcast

FAQs about Data Science Salon Podcast:

How many episodes does Data Science Salon Podcast have?

Data Science Salon Podcast episodes:

FAQs about Data Science Salon Podcast:

How many episodes does Data Science Salon Podcast have?

More shows like Data Science Salon Podcast

The Moth

Up First from NPR

Eat Your Crust