The increases in computer power, greater investments in algorithms amenable to parallelization and data availability are combining to have two important, but different impacts on the application of artificial intelligence:
The democratization of Machine Learning and the rise of the citizen data scientist
The placement of supercomputing capability in the hands of the chief data officer and data scientists
To launch Artificial Intelligence initiatives, Financial Institutions need to understand what tools and what skills need to be combined. Join us as we explore the everchanging role of Artificial Intelligence in Financial Services and participate in a series of conversations around the topic.
We will share our views on how Artificial Intelligence is being used by financial institutions today, how tooling is being deployed to support these efforts and some of the resourcing models FIs are using to bring Artificial Intelligence to Financial Services. We will offer our predictions on how Artificial Intelligence will influence software in the future and broker a discussion on how the technology function will need to adapt. In addition we will discuss the skill sets, teams, and tools required for adaptive software in the future , the evolving role of IT, and the emerging data functions needed to support this new future.