The Data And AI Podcast

Harnham & Rockborne
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This podcast will cover a range of topics such as finding data talent, and AI training. We will also discuss more advanced subjects like assessing the value of your data team, identifying biases in AI and addressing pay gaps in data and analytics. See more on our website: https://www.harnham.com/data-and-ai-podcast/

  1. JAN 9 · VIDEO

    Episode 22: Bridging the Data Skills Gap - How to Upskill and Build Analytics Culture

    In this episode of Harnham’s Data & AI Podcast, Harnham CEO Dave Farmer speaks with Rockborne CEO Waseem Ali about one of the biggest challenges facing organisations today: closing the data and AI skills gap while building a culture that uses data in everyday decision making. Waseem explains why the gap is often misunderstood. Many companies focus on technical hiring or new tools, but the real issue is confidence and capability across the wider business. People need to understand how data helps them make better decisions, not just how a platform works. That shift takes leadership focus, clear communication and continuous learning, not one-off training sessions. The conversation breaks down: How organisations can combine upskilling, coaching and literacy programmes to build capability at scale. Why celebrating early wins and visible examples creates momentum and buy-in. How leaders can balance hiring specialist talent with developing the people they already have. What happens when centralised teams try to hold everything, and why federated decision-making often speeds up impact. Real lessons from clients who improved decision-making and adoption by focusing on communication, context and consistent leadership support. Waseem also looks ahead at how AI is changing expectations of data teams. Coding remains important, but problem framing, critical thinking and asking better questions are becoming central skills as automation improves. He closes with practical steps leaders can take today: get clear on the decisions that matter, train executives first, remove friction around data access and spend time listening to the business before rolling out solutions. Subscribe for more conversations with data and AI leaders, and explore the full series at harnham.com.

    32 min

  2. 10/02/2025 · VIDEO

    Episode 21: GenAI breakthroughs, roadblocks and what to learn next

    This week on Harnham’s Data & AI Podcast, Senior Growth Manager Jayme Oshaben is joined by Ashish Bansal, founder of StarSpark.AI and former Google leader, for a grounded look at where generative AI is really heading. Ashish reflects on the breakthroughs that brought us here: from seq2seq models to Transformers and self-supervised learning, and why cost, scale and reliability still determine which ideas make it into production. He explains the common stumbling block teams face with GenAI: it’s easy to get to a promising proof of concept, but closing the gap to a production-ready system demands stronger engineering, cleaner data, and a clear product mindset. The conversation looks ahead to what’s next: Smarter, in-product support that avoids the “please hold” loop. AI and robotics shifting from virtual experiments to physical tasks. Education reimagined with affordable tutors that encourage curiosity. Why GenAI is probabilistic, not deterministic, and why that matters. On skills, Ashish is direct: embrace new tools, but go beyond them. The advantage now lies in pairing technical depth with communication, product sense, and a growth mindset. As founder of StarSpark, the first AI math teacher designed for K–12 mastery, Ashish shares how education can be transformed. StarSpark uniquely combines alignment with state standards, adaptive grade-level progression, and 100% solving accuracy with personalized, proactive teaching that no other platform delivers. Whether you’re testing your first agent, scaling a platform, or planning your next role, this episode offers a clear-eyed view on turning GenAI from demo into lasting value.

    33 min

  3. 09/23/2025 · VIDEO

    Episode 20: How Incrementality and MMM Are Changing Marketing Analytics

    This week on Harnham’s Data & AI Podcast, Lloyd Dunstall sits down with Matthew Nixon, Head of Analytics, EMEA at Incubeta, to dive into one of marketing’s toughest challenges: proving impact when the data is fragmented and signals are fading. Matt explains why effective measurement now relies on combining three approaches: attribution, Marketing Mix Modelling (MMM) and incrementality. Together, they give a clearer view of performance and help businesses build trust in their numbers. Highlights include: Why moving beyond “just another dashboard” is key to linking marketing data with business growth. How MMM, attribution and incrementality create a common language with CFOs and senior leaders. The mix of technical depth, commercial awareness and clear storytelling that defines today’s analytics roles. Real-world results: Imperial London Hotels achieved a 73% revenue uplift, while Les Mills drove a 570% increase in new customers through a long-term measurement framework. Looking ahead, Matt reflects on how AI is already embedded in measurement tools and why the future lies in more continuous, real-time models. He also shares advice for clients on how to get started, and for candidates on combining technical know-how with strong communication to stand out. Catch up on this episode and explore the full podcast series here: https://thedataandaipodcast.podbean.com/

    54 min

  4. 07/18/2025 · VIDEO

    Episode 19: How AI Innovation & Hiring Are Evolving Hand in Hand

    In this episode of Harnham’s Data & AI Podcast, Luc Simpson-Kent is joined by Nathalie Baker, Managing Director and Lead Data Scientist for EMEA at FTI Consulting. They delve into the realities behind AI’s rapid adoption in business. What’s working, what isn’t, and where the real challenges lie. Nathalie shares insights on: Why governance and GenAI tooling are reshaping the consulting space How FTI Consulting built AI tools like Ariadne to solve complex, real-world problems What hiring data talent really looks like today—and what often gets missed Why soft skills like communication and adaptability matter as much as technical know-how The pros and cons of in-house vs off-the-shelf AI solutions, and how firms can avoid vendor lock-in Whether you’re building an AI team from scratch or scaling existing efforts, this episode offers straight-talking insights from someone shaping the future of AI in consulting.

    24 min

  5. 07/17/2025 · VIDEO

    Exclusive! Harnham to 15,000: The Shift to Personalisation

    In this episode of The Data & AI Podcast, Elizabeth Stone, Senior Manager at Harnham, is joined by Charlie Nicholls, CMO at Dexata. To mark Harnham’s 15,000 placements, Elizabeth and Charlie reflect on how data talent, technology, and customer expectations have evolved over the past two decades, and what that means for the future of work and experience design. They cover: What it takes to get personalisation right at scale How AI is reshaping the workplace and decision-making The role of experimentation in creating human-centric experiences Why customer experience optimisation is more critical now If you're navigating the intersection of data, AI, and customer experience, or just want to hear what the latest in innovation looks like, this episode is for you. — Want to learn more about what 15,000 placements at Harnham means for data & ai hiring landscape? Check out key insights from Harnham’s CEO, here: https://www.harnham.com/15000-placements-global-data-ai-insights/

    21 min

  6. 05/13/2025 · VIDEO

    Episode 18: Beyond the Numbers: Humanising Your Customer Data

    In this episode of The Data & AI Podcast, Lloyd Dunstall, Principal Recruitment Consultant at Harnham, is joined by Abi Hough, a seasoned consultant specialising in optimisation and user experience. Abi shares insights from her 20+ years in the industry, discussing why relying solely on data can lead to poor decisions and how combining analytics with a deep understanding of user behaviour can drive better outcomes.   They cover: The risks of data-only decision-making How to blend data with user research Real-world examples where human insight improved business performance The importance of storytelling in data analysis   If you want to learn how to improve customer experience, retention, and revenue by looking beyond the numbers, this episode is for you.

    50 min

  7. 03/24/2025 · VIDEO

    Episode 17: Bridging the Consumer Experience Gap: What Brands Get Wrong

    This week on The Data & AI Podcast, host Noah Stuckey, Managing Consultant for Market Research & Customer Insight at Harnham, sits down with Abhijeet Roy, Chief Client Officer at Focus Insights, to explore the consumer experience gap, why brands often fail to deliver on their promises and what they can do about it. With over 25 years in the market research industry, Abhijeet shares how businesses invest heavily in product launches and advertising but often overlook the real-world customer experience. He explains why the traditional approaches to market research don’t always capture genuine consumer behaviour, and how social listening, AI, and new methodologies are helping to close the gap. Highlights include: Why brands’ marketing messages don’t always match the reality of customer experience. The risks of ignoring the say-do gap and how it impacts brand loyalty. How AI can streamline research but still needs human insight for meaningful storytelling. Abhijeet also exposes eye-opening real-world examples, from festive ad campaigns to influencer marketing fails. Keen to learn more? Tune in to the episode to find out. Catch up on this episode and explore the full podcast series here: https://www.harnham.com/data-and-ai-podcast/

    28 min

  8. 01/15/2025 · VIDEO

    Episode 16: The Past, Present, and Future of Experimentation

    This week on The Data & AI Podcast, host Lloyd Dunstall—Principal Recruitment Consultant at Harnham—sits down with Chris Gibbins, Chief Experience Officer at Creative CX, to explore the fascinating evolution of experimentation in digital analytics and CRO. From the early days of small A/B tests to today's expansive, journey-wide experimentation, Chris reflects on how this scientific approach has transformed not just decision-making, but creativity itself. Highlights include: Why experimentation isn’t just about tweaking button colours but about unlocking bold, strategic ideas. Success stories that delivered significant wins for both customers and businesses. A look at the future of experimentation, including its role in tackling AI-driven user interactions and bridging online-offline journeys. Curious about what makes experimentation so powerful or simply keen to learn what metrics Chris wishes he could measure? Tune in to this episode to find out.

    57 min
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About

This podcast will cover a range of topics such as finding data talent, and AI training. We will also discuss more advanced subjects like assessing the value of your data team, identifying biases in AI and addressing pay gaps in data and analytics. See more on our website: https://www.harnham.com/data-and-ai-podcast/

Information

  • Creator
    Harnham & Rockborne
  • Years Active
    2023 - 2026
  • Episodes
    23
  • Rating
    Clean
  • Copyright
    © Copyright 2024 All rights reserved.
  • Show Website
    The Data And AI Podcast