Panel discussions with leading experts will run throughout the day, with breaks for lunch and networking, and will be followed by a drinks reception for all in-person guests. Virtual attendees can watch the event via livestream on the Evident website.
Wednesday 19 June
09.00 - 17.30 Panel discussions
18.00 - 20.00 Drinks reception
London
Breakfast Reception & Welcome
The data advantage: how can optimising the use of data help drive the performance of AI applications?
The value of artificial intelligence applications begins with the use of data. How can the architecture of data use within an organisation help to support the implementation of AI products, and help drive value today? What cutting-edge protocols are organisations using to get the most out of their data architecture when it comes to AI development in the age of powerful foundational models?
The leading use cases: how are organisations integrating AI to create value now?
Artificial intelligence is transforming businesses from the inside, and shaping the products and services that they offer to the world. Driving this process are two crucial components for the adoption of artificial intelligence applications: data and compute. How are leading organisations, at the cutting edge of data analytics and compute infrastructure, integrating AI into their operations to create value? How might their approach evolve in the future, with the emergence of increasingly powerful foundational models? What are the key enablers to building a successful use case, and how can infrastructure and computing capabilities help make the process faster and more secure?
Tea & Coffee Break
The risk spectrum: how can banks ensure their AI governance is adequate, in light of risks and regulations?
Does emerging regulation around AI adequately reflect the diversity of risks from different applications? And could law-makers be more nuanced in their approach? What can regulators learn from banks about the rules required to govern artificial intelligence, and which existing regulations are most relevant to maximising the value of AI, while minimising the risks?
The investment agenda: where are leading investors placing their AI bets?
The fast-paced innovation of the past few years has made the AI space more difficult to navigate for investors; so what are they investing in? Which ventures have the potential for disruption? Where are the bets being placed and what impacts could those ventures have on the financial services sector? What are the key components of an investment strategy that responds to an evolving market for AI?
Lunch
The way to scale: how can centralised platforms enable banks to accelerate AI deployment?
What’s the value of building a centralised, repeatable capability for deploying artificial intelligence in specific use cases within a bank, and how should organisations go about building such a platform, scaling it up, and responding to new AI innovations as they do so?
The practical path: how can banks identify and prioritise use cases that will deliver value?
With so many competing opportunities to deploy AI, how should organisations be thinking about prioritisation of use cases? What frameworks are in use for assessing the value of a use case? And what practical steps can banks take to embrace AI in a way that’ll drive short and long-term value?
Break & Refreshments
The agentic movement: how can humans partner more deeply with machines, in banks and beyond?
The creation of advanced foundational models that can replicate reasoning, perform complex tasks, and function autonomously in the same way as humans, raises important questions for all businesses. How can banks look to maximise the value of symbiotic human-machine operations while maintaining safety and efficiency throughout the financial services industry?
The outcomes benchmark: how are banks measuring the success of AI use cases?
As organisations embrace more use cases for AI across different processes within the bank; how are they assessing their success, and evaluating the return on investment in the short, medium and long-term? What forms of value-creation, cost avoidance and risk management are possible through AI adoption and how can banks measure whether they are on the right path?
Break & Refreshments
The quantum horizon: how will quantum technologies affect banks?
What do banks need to do to adapt and thrive in a world of quantum technologies? Could widespread decryption technologies powered by quantum computing endanger the foundations on which banking is built, and what would they mean for customers?