The Transformation of ALM for Optimized Performance Management 2019 | Finastra | 20 June 2019 |

Multiple factors such as competition, cost of regulation, low interest rates, margining under stress…) are pushing treasurers, ALM leaders and finance directors more and more to rethink their entire performance framework. It is time to investigate if there are more predictive and optimized strategies that can be applied, using advanced analytics, advisory robots and modern technics such AI/ML.

At this webinar, industry experts will discuss the use of dynamic forecasting, predictive and optimizing platforms based on advisory robots and ML/AI techniques.

The session will cover the following discussion areas:

• Big data and advanced analytics entering forecasting and balance-sheet management domain, is it really happening or so far just an experiment?
• Is ML/AI mature enough to contribute to real life challenges of Treasury and Balance Sheet Management? Where will these technics have the most beneficial impact (predictive, forecasting, behavioral, strategic planning…)?
• What advantages would these techniques bring vs the ubiquitous standard statistics/ linear regression?
• The digitization of ALM/Treasury department implies new type of profiles / resources, what is the real impact and plan? Does it push for a collaborative approach between FinTech, universities, banks?
• Are we ready to use / trust balance-sheet optimization advisory robots? How far can we go? We will be exploring first experiences and use cases?

2019 Speaker

MODERATOR:

Arnaud Picut
Global Head of Risk Practice, Finastra