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AI + Synthetic Data: Creating Value Without Compliance Risk

A discussion with Tobias Hann from MOSTLY AI and Camille Lloyd-Hughes, VML

  Friday 5 September 2025 │ 08:45-09:45 BST │ Interactive Webinar

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  • About
  • Panellists
  • About

    In a world where data privacy, regulatory scrutiny, and the pace of AI innovation are accelerating, leaders face a complex challenge: how to unlock the full potential of AI while maintaining trust and safeguarding sensitive information.

    Synthetic data is emerging as a transformative tool,  enabling safe experimentation, accelerating AI adoption, reducing bias, and fostering innovation without compromising compliance or security. But what does synthetic data really mean, and how are leaders using it to create value today?

    This discussion brings together leaders at the forefront of AI, data, and technology strategy to unpack synthetic data from every angle: what it is, why it matters, and how it’s driving change across industries, from financial services to defence to technology.

    Panellists:

    • Tobias Hann, CEO, MOSTLY AI

    • Camille Lloyd-Hughes, Director of Data, VML

    Through the lens of senior leaders, we’ll explore:

    • What does synthetic data actually mean, and how is it different from anonymised or masked data?

    • The benefits of synthetic data: speeding up AI, reducing compliance risk, and tackling bias and governance challenges.

    • How are organisations in finance, defence, and tech actually using synthetic data today?

    • What separates leaders who create real value from those stuck in endless pilots?

    • The hardest part of leading AI-driven change: tech, people, or trust?

    • Cutting-edge applications: from digital twins to predictive analytics, how synthetic data is enabling the next frontier of AI.

    • Looking to 2030: what role will synthetic data play in shaping innovation that no other tool can?

    • Busting myths: what’s the biggest misconception holding organisations back from AI adoption with trust?

  • Panellists

    Camille Peetroons, Director of Data at VML-Camille Peetroons, Director of Data, VML
    Camille is Director of Data at VML, where she brings together product and engineering to build impactful data solutions. With over 12 years’ experience in data and product, she specialises in scaling platforms, growing data maturity and tackling governance, privacy, and compliance challenges, particularly under GDPR. Passionate about using data and tech for good, she’s also an advocate for inclusivity, accessibility, and women in STEM. Outside of work, you’ll find her throwing punches in martial arts class, out on the trails with her running club, or tracking down the best Asian food spots. At home, her two spirited young daughters keep her on her toes—providing the ultimate test in negotiation.
     
    Headshot Tobias HannTobias Hann, CEO, MOSTLY AI
    Tobias is the leader in the space of privacy-preserving synthetic data. Originally from Vienna, Austria he currently lives in Munich, Germany. Prior to joining MOSTLY AI Tobias worked as a  management consultant with the Boston Consulting Group and in start-ups in different leadership roles. Tobias holds a PhD from the Vienna University of Business and Economics as well as an MBA from the Haas School of Business, UC Berkeley. In his free time Tobias enjoys spending time in the mountains, hiking in the summer, skiing in the winter.
     
     

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