AI is a hailed as a game-changer, in fact 77% of banking executives believe that it will differentiate the winners from the losers.


Explainable AI is the next generation of AI that unblocks the black-box so humans can understand what is going on inside AI models to ensure AI-driven decisions are transparent, accountable and trustworthy. Explainability allows humans to be an active part of the AI process by providing input where needed. With explainable AI, teams can finally better understand diagnostic, predictive & prescriptive business insights, enabling enterprises to make high confidence, trusted decisions – thereby accelerating data-driven decisions across the organization.

How can banks gain explainability of their AI decisions, how can a bank deploy XAI and what are the benefits?


Discussion

Topics

Covid-19 has already triggered an uptick in digital banking, do you believe that it will also intensify the use of AI and why?

What are the challenges particularly around data that banks need to tackle to take advantage of AI?

How can banks gain explainability of their AI decisions, how can a bank deploy XAI and what are the benefits?

SUBJECT MATTER EXPERT

Professor Hani Hagras

Speaker 1

Chief Science Officer at Temenos

Temenos

Hani Hagras is the Chief Science Officer of Temenos, he is also a Professor of Artificial Intelligence, Director of Research and Director of the Computational Intelligence Centre in the University of Essex, UK.

ABOUT

Temenos

Temenos is a world-leading banking technology provider that delivers outstanding banking experiences to more than 1 billion customers all around the world. With a platform for business transformation, Temenos helps financial institutions to accelerate their digital transformation and reimagine the way that they engage with their customers through both, the digital and physical channels, creating a consistent and seamless experience. It’s digital banking without limits!