Data Team Success

Welcome to Data Team Success, your prime beacon for mastering leadership in the world of data! This is your host, Ross Webb, inviting you on a voyage where we transcend conventional data management and ignite transformation, leading innovation for data teams. As a seasoned expert in the field, I'll be bringing you captivating content that delves into the heart of data strategy, management, and culture. AI is changing industries. We will keep focusing on data culture, data governance, ethics, and privacy. These are important parts that AI can't handle alone. Our offering includes enlightening discussions, interviews with data visionaries, intriguing case studies, and comprehensive guides. Learn to lead, inspire, and extract enduring value from data. Join me and become part of a community of pioneers. Together, we won't just navigate the future of data management, we will shape it. Subscribe now to stay ahead of the curve and let's drive the data rev

Data Team Success is a business podcast hosted by Ross WEbb, with 26 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

Ross WEbb hosts Data Team Success, a business show with 26 episodes published.

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

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  Episode #28

  The Complete MLOps Lifecycle: From Data to Deployment | Phillip Mortimer

  Mar 24, 202640 minS6

  90% of ML projects never make it to production. That's not a talent problem — it's an MLOps problem. Phillip Mortimer is a computer scientist, ex-Chief Scientist and CTO at a London fintech, and one of the only people teaching MLOps at university level (Dauphine University, Paris — 5 years running). In this episode, Phillip walks through the complete MLOps lifecycle: • Data preparation — why EDA is the most forgotten step, and why data pipelines still matter in the LLM era • Model building — Karpathy's 5-stage training cookbook: become one with your data → fit a baseline → overfit → regularise → squeeze out the juice • Experiment tracking — MLflow, Weights & Biases, model registries, and model cards • Deployment — real-time vs batch, Docker containers, inference optimisation with ONNX, vLLM, and TensorRT • Monitoring — data drift, feedback loops, and keeping models relevant • The future — why MLOps is shifting to AI engineering, and why agentic AI is the real breakthrough Key stat: 90% of ML infrastructure cost is inference, not training. If you're not optimising your serving layer, you're burning money every day.

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  Episode #26

  From Jupyter Notebook to Production: A Data Scientist's MLOps Journey | Anastasiia Kulakova

  Mar 15, 202611 minS6

  Your model only matters if it connects to the business. But when you're a data scientist learning MLOps on the fly, experimenting on live infrastructure is terrifying. Anastasiia Kulakova is an Amsterdam-based data scientist at JetLakes, a fast-growing energy and mobility startup. She shares her candid journey from Jupyter Notebook to production-ready ML. In this episode: • Why "we have the data" from stakeholders rarely means what you think • How to build your own MLOps learning sandbox without breaking production (GitHub Actions, Heroku, DigitalOcean) • The reality of being a data generalist at a startup — wearing every hat from model training to Scrum Master • How JetLakes uses predictive algorithms to balance the energy grid through EV charging optimisation • Virtual power plants: turning parked electric vehicles into grid-scale flexibility • Why the precision economy is coming to energy — and what that means for data teams

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  Episode #25

  Data Leaders Conduct Success Like Orchestra Conductors - Here's How

  Nov 27, 202415 minS6

  <p>Just like a masterful orchestra needs a skilled conductor, successful data teams require leaders who can harmonize diverse talents into powerful performance. In this episode, top data leaders share their strategies for orchestrating success in modern data organizations.</p> <p>0:00 - Introduction: The Orchestra of Data Leadership</p> <p>1:27 - Meet Our Conductor-Level Leaders</p> <p>2:13 - Bridging Academia & Industry with Ali Saad</p> <p>4:33 - Practical Skill Development with Anastasia Kulakova</p> <p>8:19 - Leadership Journey Insights with Julie Montel</p> <p>11:15 - Data Storytelling Mastery with Promit Ray</p> <p>13:49 - Key Takeaways & Action Steps</p> <p><...

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  Episode #25

  Orchestrating Data Leadership Success - Essential Skills from Top Data Leaders

  Nov 26, 202418 minS0

  <p>Episode Summary: Just as a masterful orchestra requires a skilled conductor, successful data teams need leaders who can harmonize diverse talents into powerful performance. In this episode, four exceptional data leaders share their insights on bridging the academic-industry gap, developing practical skills, navigating leadership paths, and mastering stakeholder communication.</p> <p>Key Highlights: [00:00:00] - Introduction: The Orchestra of Data Leadership [00:01:27] - Meet Our Conductor-Level Leaders</p> <p>Bridging Academia and Industry with Ali Saad [00:02:13]</p> The real gap between academic knowledge and industry needsWhy perfect datasets don't exist in the real worldEssential skills missing from traditional educationThe importance of...

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  Episode #24

  Building a Successful Data Career: Insights from Miltiadis Sarakinos

  Jul 31, 202417 minS6

  <p>In this episode of Data Team Success, host Ross Webb sits down with Miltiadis Sarakinos, Head of Data Analytics at Bank Cler, to explore the fundamental strategies that create successful data leaders and thriving data careers. With years of experience in both scientific and business environments, Miltiadis shares invaluable insights on integrating data culture, overcoming data literacy challenges, and achieving career success in the ever-evolving field of data analytics.</p> <p>Guest Introduction</p> <p>Miltiadis Sarakinos brings a wealth of experience from his time at CERN and his current role as Head of Data Analytics at Bank Cler...

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