AI Loves Data Podcast

Data Science Salon
  • 5.0 (4)
  • TECHNOLOGY
  • UPDATED MONTHLY

The official podcast of Data Science Salon which is now AI Loves Data. 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. The AI Loves Data series is a unique vertical focused conference which brings together specialists face-to-face to educate each other, illuminate best practices, and innovate new solutions in a casual atmosphere with food, great coffee, and entertainment.

  1. Beyond the Model: Building Scalable, Responsible AI Systems

    FEB 3

    Beyond the Model: Building Scalable, Responsible AI Systems

    Dushyanth shares his journey into AI, the challenges of building complex pipelines, and how to integrate responsible and ethical practices into machine learning workflows. Key Highlights: Scaling AI Systems: How to design and deploy pipelines that handle real-time inference, multimodal data, and production-level demands.Model Interpretability & Explainability: Strategies for making complex models understandable and accountable.Optimizing AI for Real-World Impact: Balancing performance, robustness, and human oversight in AI systems.Responsible AI Practices: Embedding ethics, fairness, and transparency in machine learning workflows.🎧 Tune in to Episode 61 to hear Dushyanth Sekhar’s insights on bridging technical innovation with responsible AI practices, and learn how to build AI systems that deliver both accuracy and real-world value. Be sure to mark your calendars for the 9th annual DSS ATX on Feb 18, 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/austin/ As Data Science Salon celebrates 10 years the community unveils a new brand: AI Loves Data

    28 min
  2. Beyond Checklists: Evaluating Conversational AI

    JAN 6

    Beyond Checklists: Evaluating Conversational AI

    In this episode of the Data Science Salon Podcast, we sit down with Carlos Aguilar, Head of Product at Hex and former founder of Hashboard, to discuss a topic critical for every data team: how to properly evaluate AI analytics tools. Carlos shares why traditional checklist-based evaluations fail for conversational AI and generative analytics tools, and how focusing on context, workflow, and real user testing can dramatically improve the chances of success. Drawing on his experience leading the Data Insights team at Flatiron Health, he provides practical guidance for both end-users and data teams. Key Highlights: End-User vs Data Team Evaluation: Why both perspectives are crucial for measuring AI effectiveness.Context Management: How setting up reference questions ensures accurate and relevant answers.Workflow & Observability: Why monitoring and iterating on AI outputs is essential for real-world success.Lessons from the Field: Examples of tools that look good in demos but fail in production—and how to avoid those pitfalls.🎧 Tune in to Episode 60 to learn how to evaluate AI analytics tools the right way and ensure your data teams deploy solutions that actually work in practice. Be sure to mark your calendars for the 9th annual DSS ATX on Feb 18, 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/austin/

    23 min
  3. Reproducible EDA: Building Trustworthy Analytics Pipelines

    12/17/2025

    Reproducible EDA: Building Trustworthy Analytics Pipelines

    Together, Leon and Oscar share how applied EDA practices remain the backbone of trustworthy analytics pipelines in both academic and industry settings. Their discussion highlights the challenges and lessons learned from building the EDA Toolkit, and why reproducible workflows are more important than ever in the age of AI and ML. Key Highlights: Reproducible EDA: How to standardize exploratory data analysis workflows for consistent and trustworthy insights.Open-Source Innovation: The design and impact of the EDA Toolkit, bridging research, healthcare, and education.Best Practices for Analytics: Lessons learned from creating tools that make EDA more intuitive and scalable across projects.The Future of Data Science Workflows: Why reproducibility and standardization matter in modern AI/ML pipelines.🎧 Tune in to Episode 59 to hear Leon Shpaner and Oscar Gil’s insights on building reproducible, reliable, and effective data science workflows, and how open-source tools can transform analytics practices across domains. Be sure to mark your calendars for the 9th annual DSS ATX on Feb 18, 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/austin/

    22 min
  4. Ethical AI and Data Science with Kelly Vincent

    11/25/2025

    Ethical 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/

    23 min
  5. From Code to Scale: Building SaaS and AI Products That Deliver Value

    11/12/2025

    From 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/

    24 min
  6. Always-On Customer Care: How AI Agents Are Transforming Support

    10/21/2025

    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/

    33 min
  7. Responsible AI and the Future of Machine Learning

    10/08/2025

    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

    28 min
  8. Transforming the Workplace: Practical Strategies for Organizational Success with Melissa Swift

    08/19/2025

    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/

    23 min
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Ratings & Reviews

5
out of 5
4 Ratings

About

The official podcast of Data Science Salon which is now AI Loves Data. 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. The AI Loves Data series is a unique vertical focused conference which brings together specialists face-to-face to educate each other, illuminate best practices, and innovate new solutions in a casual atmosphere with food, great coffee, and entertainment.

Information

  • Creator
    Data Science Salon
  • Years Active
    2019 - 2026
  • Episodes
    61
  • Rating
    Clean
  • Copyright
    © 2026 AI Loves Data
  • Show Website
    AI Loves Data Podcast

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