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?
Duncan Roberts

Duncan Roberts

Futurist, Senior Researcher, Generative AI, Cognizant

Currently with Cognizant Research, Duncan Roberts joined the company in 2019 as a digital strategy and transformation consultant in industries ranging...

Currently with Cognizant Research, Duncan Roberts joined the company in 2019 as a digital strategy and transformation consultant in industries ranging from satellite communications to educational assessment. He has advised clients on utilizing technology to meet strategic objectives and discover the art of the possible through innovation.

Before Cognizant, Duncan worked for one of the largest publishing houses in Europe, playing a leading role in the digital publishing revolution, helping transform their operations and launching new innovative products. He holds a Masters in Philosophy and Classics from the University of St. Andrews.

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Abhi Sharma

Abhi Sharma

Industry Advisor - UK Banking, Microsoft

Abhi is a digital transformation specialist with over ten years' experience working within Financial Services. He is based in London and currentl...

Abhi is a digital transformation specialist with over ten years' experience working within Financial Services. He is based in London and currently works at Microsoft as an Industry Advisor, working with key strategic banking customers in the UK. Prior to joining Microsoft, Abhi worked as a management consultant at PwC. Throughout his career, he has worked with clients to envision, develop and implement digital transformation initiatives that leverage the latest technology to deliver business value (e.g., enhanced customer experience, increased colleague productivity and enterprise-wide operational efficiencies). 

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Christos Kondylis

Christos Kondylis

Executive Director: Data Science and Innovation, Standard Chartered

Christos leads Standard Chartered's data science team in the UK, bringing two and a half decades of extensive experience in banking and financial serv...

Christos leads Standard Chartered's data science team in the UK, bringing two and a half decades of extensive experience in banking and financial services. His expertise spans across financial technology, financial markets, and corporate banking. Christos holds a Master's degree from Northwestern University and an MBA from Kellogg Graduate School of Management

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Walter McCahon

Walter McCahon

Principal, Data Policy, UK Finance

Walter McCahon oversees policy work on privacy, data protection and data ethics issues at UK Finance. Before coming to UK Finance, he worked for the B...

Walter McCahon oversees policy work on privacy, data protection and data ethics issues at UK Finance. Before coming to UK Finance, he worked for the BBA in various policy areas, including privacy, data protection, Open Banking, and retail banking regulation. He previously worked for the New Zealand Banker's Association and New Zealand Ministry of Economic Development on financial sector regulatory reforms.

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Cognizant

Cognizant

Cognizant (Nasdaq-100: CTSH) is one of the world's leading professional services companies, transforming clients' business, operating and technology m...

Cognizant (Nasdaq-100: CTSH) is one of the world's leading professional services companies, transforming clients' business, operating and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant is ranked 193 on the Fortune 500 and is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com or follow Cognizant @Cognizant

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Microsoft

Microsoft

Microsoft (Nasdaq “MSFT” @microsoft) enables digital transformation for the era of an intelligent cloud and an intelligent edge. Its mission is to emp...

Microsoft (Nasdaq “MSFT” @microsoft) enables digital transformation for the era of an intelligent cloud and an intelligent edge. Its mission is to empower every person and every organization on the planet to achieve more.

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This will be relevant across financial services, but in particular banking. Larger corporations and traditional banks will find it useful as they look to implement and find value in generative AI.

  • C-suite executives – CEO, CFO, COO etc. interested in how gen AI can impact overall business strategy and competitive advantage long term
  • Tech leaders – CTO, CIO, IT directors, responsible for evaluating and implementing AI solutions s civically interested in the multi-year implementation road map and cost considerations
  • Innovation and strategy professionals - head of innovation, business transformation, strategic planning etc. seeking to understand the practical applications of Gen AI in their specific departments and develop actionable strategies
  • Data and analytics professionals - data scientists, analytics managers, industry learning how to leverage Gen AI within their data-driven strategies