As AI technology rapidly evolves, organisations in the financial services sector face both exciting opportunities and significant challenges. In this conversation with Clara Durodié, we delve into the current landscape of AI in finance, the dangers of rushed implementations, and the importance of a thoughtful strategy.

Clara Durodié is a recognised tech strategist and AI pioneer in financial services. After a successful career in financial organisations, she founded the Cognitive Finance Group to provide impartial advice and insights on AI implementations. Durodié emphasises the need for strategic foresight and careful planning when integrating AI into business operations.

Are you ready to harness the massive benefits of AI? Or will you make the same mistakes as so many others are making today?

Chris Surdak talks about the dangers of LLMs, the extraordinary potential for AI-driven fraud, and how businesses can win over the next few years, BUT only if they do the right things.

Chris Surdak is an actual rocket scientist - and an expert in AI, big data, and compliance. He’s the author of four books, and is the President and CEO of ReLeaf Financial, providing Proof of Intent for digital transactions.

00:30 Introduction

01:46 Opportunities and threats in AI

05:04 Agentic AI is a raft of gotchas waiting to happen

06:59 ReLeaf Financial’s innovative approach

11:42 Data as the source of wealth creation

14:52 Human agency as the next source of value creation

16:47 Replacing people with AI - playing Russian roulette

18:24 AI will radically expose who adds value in your company, and who doesn’t

21:17 Task graphing, digital transformation, and the importance of building in resilience

25:57 AI means you will have to finally fix your processes

29:06 You’re not going to save the money you think

30:01 Circular financing in the AI sector

31:17 The future if you do AI properly: more efficient AND more effective

Can you secure your AI systems?

Learn from AI cybersecurity expert Shoshana Cox why AI security is fundamentally different from traditional systems, why it’s difficult to do, and why most AI security solutions and consultancy sold today is worthless.

Shoshana is a mathematician, engineer, and former hacker working in AI cybersecurity in the national security sphere. She has written pioneering papers laying out why AI systems are so difficult to secure (her mathematical proof was recently confirmed by NIST in the US) and was part of the team that wrote the EU AI Act’s technical standards. She is a strong believer in AI and a fierce critic of companies selling security services which deliver no value!

Timestamps

00:30 Introduction

03:02 How is AI cybersecurity different from traditional cybersecurity?

05:28 In AI, data is the attack vector

08:07 Threat modelling in AI security

10:59 The challenges of implementing AI in organisations

14:41 Is current AI hype dangerous?

18:50 How should large organisations approach AI?

21:52 Internal vs external AI models

24:28 Data, process quality and AI reliability

27:23 The importance of real engineering in AI deployment

30:11 AI red teaming - as it’s being sold - doesn’t work