76 episodes

Data science and machine learning are making the impossible possible—whether it is awe-inspiring results from language models, or huge gains in computational biology. However, as data science is increasingly democratized, it’s also making the possible widespread and there is still so much to uncover. In this podcast by DataCamp, Adel Nehme will interview data leaders from industry and academia on the latest thinking on all things data. From how to lead data teams to the importance of improving data literacy, we’ll cover all the latest trends and insights on how to scale the impact of data science in organizations.

DataFramed DataCamp

    • Technology
    • 5.0 • 3 Ratings

Data science and machine learning are making the impossible possible—whether it is awe-inspiring results from language models, or huge gains in computational biology. However, as data science is increasingly democratized, it’s also making the possible widespread and there is still so much to uncover. In this podcast by DataCamp, Adel Nehme will interview data leaders from industry and academia on the latest thinking on all things data. From how to lead data teams to the importance of improving data literacy, we’ll cover all the latest trends and insights on how to scale the impact of data science in organizations.

    #76 Providing Financial Inclusion with Data Science, with Vishnu V Ram, VP of Data Science and Engineering at Credit Karma

    #76 Providing Financial Inclusion with Data Science, with Vishnu V Ram, VP of Data Science and Engineering at Credit Karma

    In this episode of DataFramed, we speak with Vishnu V Ram, VP of Data Science and Engineering at Credit Karma about how data science is being leveraged to increase financial inclusion.
    Throughout the episode, Vishnu discusses his background, Credit Karma’s mission, how data science is being used at Credit Karma to lower the barrier to entry for financial products, how he managed a data team through rapid growth, transitioning to Google Cloud, exciting trends in data science, and more. 
    Relevant links from the interview:
    You can now learn data science with your team for free—try out DataCamp Professional with our 14-day free trial. Data roles at Credit KarmaCredit Karma’s mission

    • 52 min
    #75 The Data Storytelling Skills Data Teams Need with Andy Cotgreave, Technical Evangelist at Tableau

    #75 The Data Storytelling Skills Data Teams Need with Andy Cotgreave, Technical Evangelist at Tableau

    In this episode of DataFramed, we speak with Andy Cotgreave, Technical Evangelist at Tableau about the role of data storytelling when driving change with analytics, and the importance of the analyst role within a data-driven organization.
    Throughout the episode, Andy discusses his background, the skills every analyst should know to equip organizations with better data-driven decision making, his best practices for data storytelling, how he thinks about data literacy and ways to spread it within the organization, the importance of community when creating a data-driven organization, and more.
    Relevant links from the interview:
    We’d love your feedback! Let us know which topics you’d like us to cover and what you think of DataFramed by answering this 30-second surveyCheck out our upcoming webinar with AndyCheck out Andy's bookBecome a Tableau expert

    • 50 min
    #74 Harnessing the Power of Collaboration with Engineering Manager at Lucid Software, Brian Campbell

    #74 Harnessing the Power of Collaboration with Engineering Manager at Lucid Software, Brian Campbell

    In this episode of DataFramed, we speak with Brian Campbell, Engineering Manager at Lucid Software about managing data science projects effectively and harnessing the power of collaboration. 

    Throughout the episode, Brian discusses his background, how data leaders can become better collaborators, data science project management best practices, the type of collaborators data teams should seek out, the latest innovations in the data engineering tooling space, and more.
    Relevant links from the interview:
    We’d love your feedback! Let us know which topics you’d like us to cover and what you think of DataFramed by answering this 30-second surveyLucid’s Tech Blog

    • 33 min
    #73 Scaling AI Adoption in Financial Services with Chief Strategy Officer and Head of Financial Services at TruEra Shameek Kundu

    #73 Scaling AI Adoption in Financial Services with Chief Strategy Officer and Head of Financial Services at TruEra Shameek Kundu

    In this episode of DataFramed, we speak with Shameek Kundu, former group CDO at Standard Chartered Bank, and Chief Strategy Officer & Head of Financial Services at TruEra Inc about Scaling AI Adoption throughout financial services.
    Throughout the episode, Shameek discusses his background, the state of data transformation in financial services, the depth vs breadth of machine learning operationalization in financial services today, the challenges standing in the way of scalable AI adoption in the industry, the importance of data literacy, the trust and responsibility challenge of AI, the future of data science in financial services, and more.
    Relevant links from the interview:
    We’d love your feedback! Let us know which topics you’d like us to cover and what you think of DataFramed by answering this 30-second surveyCheck out TruEra in actionBank of England Report: The impact of Covid on machine learning and data science in UK BankingMIT Tech Review — Hundreds of AI tools have been built to catch covid. None of them helped

    • 1 hr
    #72 Building High Performing Data Teams with Syafri Bahar, VP of Data Science at Gojek

    #72 Building High Performing Data Teams with Syafri Bahar, VP of Data Science at Gojek

    In this episode of DataFramed, we speak with Syafri Bahar, VP of Data Science at Gojek about building high-performing data teams, and how data science is central to Gojek’s success. 
    Throughout the episode, Syafri discusses his background, the hallmarks of a high-performance data team, how he measures the ROI on data activities, the skills needed in every successful data team, what is the best organizational model for data mature organizations, how Covid-19 affected Gojek’s data teams, his thoughts on data literacy and governance, future trends in data science and AI, and why data scientists should sharpen their maths and machine learning skills in an age of increasing automation. 
    Relevant links from the interview:
    We’d love your feedback! Let us know which topics you’d like us to cover and what you think of DataFramed by answering this 30-second surveyGojek’s Data Blog

    • 50 min
    #71 Scaling Machine Learning Adoption: A Pragmatic Approach

    #71 Scaling Machine Learning Adoption: A Pragmatic Approach

    In this episode of DataFramed, we speak with Noah Gift, founder of Pragmatic AI Labs and prolific author about operationalizing machine learning in organizations and his new book Practical MLOPs. 
    Throughout the episode, Noah discusses his background, his philosophy around pragmatic AI, the differences between data science in academia and the real world, how data scientists can become more action-oriented by creating solutions that solve real-world problems, the importance of dev-ops, his most recent book on the practical guide to MLOps, how data science can be compared to Brazilian jiu-jitsu, what data scientists should learn to scale the amount of value they deliver, his thoughts on auto-ml and automation, and more. 
    Relevant links from the interview:
    We’d love your feedback! Let us know which topics you’d like us to cover and what you think of DataFramed by answering this 30-second surveyUnsettled: What Climate Science Tells Us, What It Doesn't, and Why It MattersCheck out Noah's booksCheck out Noah's course on DataCampConnect with Noah on LinkedInGain access to DataCamp's full course library at a discount!

    • 49 min

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