238 episodes

Welcome to DataFramed, a weekly podcast exploring how artificial intelligence and data are changing the world around us. On this show, we invite data & AI leaders at the forefront of the data revolution to share their insights and experiences into how they lead the charge in this era of AI. Whether you're a beginner looking to gain insights into a career in data & AI, a practitioner needing to stay up-to-date on the latest tools and trends, or a leader looking to transform how your organization uses data & AI, there's something here for everyone.

Join co-hosts Adel Nehme and Richie Cotton as they delve into the stories and ideas that are shaping the future of data. Subscribe to the show and tune in to the latest episode on the feed below.

DataFramed DataCamp

    • Technology
    • 5.0 • 1 Rating

Welcome to DataFramed, a weekly podcast exploring how artificial intelligence and data are changing the world around us. On this show, we invite data & AI leaders at the forefront of the data revolution to share their insights and experiences into how they lead the charge in this era of AI. Whether you're a beginner looking to gain insights into a career in data & AI, a practitioner needing to stay up-to-date on the latest tools and trends, or a leader looking to transform how your organization uses data & AI, there's something here for everyone.

Join co-hosts Adel Nehme and Richie Cotton as they delve into the stories and ideas that are shaping the future of data. Subscribe to the show and tune in to the latest episode on the feed below.

    #225 The Full Stack Data Scientist with Savin Goyal, Co-Founder & CTO at Outerbounds

    #225 The Full Stack Data Scientist with Savin Goyal, Co-Founder & CTO at Outerbounds

    The role of the data scientist is changing. Some organizations are splitting the role into more narrowly focused jobs, while others are broadening it. The latter approach, known as the Full Stack Data Scientist, is derived from the concept of a full stack software engineer, with this role often including software engineering tasks. In particular, one of the key functions of a full stack data scientist is to take machine learning models and get them into production inside software. So, what separates projects from production?
    Savin Goyal is the Co-Founder & CTO at Outerbounds. In addition to his work at Outerbounds, Savin is the creator of the open source machine learning management platform Metaflow. Previously Savin has worked as a Software Engineer at Netflix and LinkedIn.
    In the episode, Richie and Savin explore the definition of production in data science, steps to move from internal projects to production, the lifecycle of a machine learning project, success stories in data science, challenges in quality control, Metaflow, scalability and robustness in production, AI and MLOps, advice for organizations and much more. 
    Links Mentioned in the Show:
    OuterboundsMetaflowConnect with Savin on Linkedin[Course] Developing Machine Learning Models for ProductionRelated Episode: Why ML Projects Fail, and How to Ensure Success with Eric Siegel, Founder of Machine Learning Week, Former Columbia Professor, and Bestselling AuthorRewatch sessions from RADAR: AI Edition
    New to DataCamp?
    Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

    • 48 min
    #224 What History Tells Us About the Future of AI with Verity Harding, Author of AI Needs You

    #224 What History Tells Us About the Future of AI with Verity Harding, Author of AI Needs You

    Conversations about the future of AI tend to be rather divisive, with opinions ranging from artificial superintelligence arriving to save the world, or to eradicate humanity. There's a sense that the latter is undesirable and that something ought to be done to prevent it. In order to get from that vague feeling to having steps that are practical in order to shape the future of AI, we can draw lessons from history. Looking back, to look ahead. 
    Verity Harding is a globally recognised leader at the intersection of technology, politics and public policy. She is Founder of Formation Advisory Ltd, a bespoke technology consultancy firm, and Director of the AI & Geopolitics Project at Cambridge University's Bennett Institute for Public Policy. Her debut book ‘AI Needs You’ was published by Princeton University Press in March 2024.
    In the episode, Richie and Verity explore why history is important for the future of AI, the space race, the role of AI in society, historical analogies including comparisons of AI to the cold war, the evolution of the internet, IVF, the role of government and regulation, multi-stakeholder models and much more. 
    Links Mentioned in the Show:
    Verity’s Book: AI Needs YouConnect with Verity on LinkedinThe Warnock Committee Outer Space Treaty[Skill Track] Developing AI ApplicationsRelated Episode: The History of Data and AI, and Where It's Headed with Cristina Alaimo, Assistant Professor at Luiss Guido Carli UniversityRewatch sessions from RADAR: AI Edition
    New to DataCamp?
    Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

    • 38 min
    #223 [Radar Recap] Charting the Path: What the Future Holds for Generative AI

    #223 [Radar Recap] Charting the Path: What the Future Holds for Generative AI

    Generative AI is here to stay, fundamentally altering our relationship with technology. But what does its future hold? In this session, Tom Tunguz, General Partner at Theory Ventures, Edo Liberty, CEO at Pinecone, and Nick Elprin, CEO at Domino Data Lab, explore how generative AI tools & technologies will evolve in the months and years to come. They navigate through emerging trends, potential breakthrough applications, and the strategic implications for businesses poised to capitalize on this technological wave. 
    Links Mentioned in the Show:
    Rewatch Session from RADAR: AI Edition
    New to DataCamp?
    Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

    • 38 min
    #222 [Radar Recap] Scaling Data Quality in the Age of Generative AI

    #222 [Radar Recap] Scaling Data Quality in the Age of Generative AI

    Generative AI's transformative power underscores the critical need for high-quality data. In this session, Barr Moses, CEO of Monte Carlo Data, Prukalpa Sankar, Cofounder at Atlan, and George Fraser, CEO at Fivetran, discuss the nuances of scaling data quality for generative AI applications, highlighting the unique challenges and considerations that come into play. Throughout the session, they share best practices for data and AI leaders to navigate these challenges, ensuring that governance remains a focal point even amid the AI hype cycle.
    Links Mentioned in the Show:
    Rewatch Session from RADAR: AI Edition
    New to DataCamp?
    Learn on the go using the DataCamp mobile app
    Empower your business with world-class data and AI skills with DataCamp for business

    • 41 min
    #221 [Radar Recap] The Future of Programming: Accelerating Coding Workflows with LLMs

    #221 [Radar Recap] The Future of Programming: Accelerating Coding Workflows with LLMs

    From data science to software engineering, Large Language Models (LLMs) have emerged as pivotal tools in shaping the future of programming. In this session, Michele Catasta, VP of AI at Replit, Jordan Tigani, CEO at Motherduck, and Ryan J. Salva, VP of Product at GitHub, will explore practical applications of LLMs in coding workflows, how to best approach integrating AI into the workflows of data teams, what the future holds for AI-assisted coding, and a lot more.
    Links Mentioned in the Show:
    Rewatch Session from RADAR: AI Edition
    New to DataCamp?
    Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

    • 45 min
    #220 [Radar Recap] Building Tomorrow's Workforce, Today: Scaling Internal AI Academies

    #220 [Radar Recap] Building Tomorrow's Workforce, Today: Scaling Internal AI Academies

    As AI continues to be a critical driver of innovation and competitive advantage, the imperative for organizations to upskill their workforce in this domain has never been more pressing. In this session, Mike Baylor, Vice President & CDAO at Lockheed Martin, Carolann Diskin, Senior Technical Program Manager at Dropbox, and Giorleny Altamirano Rayo, Chief Data Scientist at U.S. Department of State, outline the critical steps to creating a successful AI upskilling program within your organization. They focus on best practices for building internal AI academies, from curriculum development to engagement strategies and measuring impact. This session covers everything you need to launch and sustain an effective AI learning ecosystem that drives innovation and enhances organizational capabilities. 
    Links Mentioned in the Show:
    Rewatch Session from RADAR: AI Edition
    New to DataCamp?
    Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

    • 36 min

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