AI + Synthetic Data Creating Value Without Compliance Risk

Описание: 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.

00:00:00 Welcome
00:07:01 AI is moving faster than most companies can absorb. What’s the one decision or habit that separates leaders who get real value from AI versus those who remain stuck in pilots?
00:10:40 We often hear about adoption hurdles, but what’s the most common blind spot leaders overlook when trying to innovate with AI?
00:17:45 Innovation often fails not because of the technology, but because of leadership. What’s the hardest part of leading AI-driven change in your organisation?
00:21:32 Synthetic data has been hailed as a safe accelerator for AI. Tobias, could you share how it’s actually being used today, and where it fits in the broader AI innovation landscape?
00:25:34 In industries like defence and finance, data is both sensitive and strategic. How can leaders innovate without compromising security or compliance?
00:30:02 Looking at applications such as digital twins and predictive analytics: how is AI reshaping decision-making in your sector, and what role does synthetic data play in enabling that?
00:35:38 Looking ahead to 2030, what is one role AI will play in innovation that no other technology can, and how will synthetic data intersect with that vision?
00:41:00 If you were sitting in the boardroom tomorrow, what’s the one mindset shift or structural change you’d insist leaders make immediately to avoid being left behind in an AI-driven economy?
00:47:20 For a senior leader who hasn’t yet experimented with synthetic data, what’s the smartest first move you could make tomorrow to build momentum safely?

Panellists:
Camille Lloyd-Hughes, Director of Data, VML
Tobias Hann, CEO, MOSTLY AI