Overview:

The financial services industry is at a crossroad. Generative AI has exploded onto the scene, captivating imaginations with its potential to revolutionise everything from customer experiences to risk management. Yet, beneath the hype lies a sobering reality: multi-year implementation complexities, staggering costs, and the elusive ROI question. Are we witnessing a fleeting trend or a transformative force about to reshape the entire industry?

While ChatGPT and other platforms grab headlines, the reality is more complex. Implementing and maintaining large language models (LLMs) requires significant time, resources, and expertise, raising questions about long-term ROI and practical impact.

Join us for a thought-provoking panel discussion as we delve beyond the hype and explore the multi-year implementation play that often gets overlooked.

We'll tackle critical questions like:

• Is the current cost of LLMs a barrier to entry, or is there a hidden value proposition?
• How can we move beyond novelty and use generative AI to truly transform business models and user experiences?
• What are the essential strategies for long-term implementation and value generation?
• Beyond ChatGPT, what are the emerging LLM platforms and their potential applications?
• What ethical considerations and potential risks should we be aware of with generative AI adoption?
• What are the biggest challenges organisations face when implementing generative AI beyond the initial hype?
• How can we bridge the gap between the current capabilities of LLMs and the transformative business applications envisioned?
• Are there specific industries or use cases where generative AI offers a clear and measurable ROI beyond the hype?