Large financial institutions are taking on cognitive as a part of digital transformation, but modernizing is difficult and expensive because of the complexity of their legacy systems.

Adding a cognitive system’s input (based on a large volume of the businesses’ own unused dark data) to human decision-making notably improves the outcome. However, it’s extremely cost prohibitive and cumbersome to re-architect or replace the existing legacy systems.

Rather than entirely replace old with new, many companies opt to modernize their legacy systems. In this event we’ll talk about how financial and insurance institutions are retrofitting their legacy systems with cognitive technology.

Agenda

6pm - Registration, Networking, Food Truck

7pm - 8.30pm - Presentations

• Dr. Guanglei Xiong - Principal Research Scientist at Accenture. Topic: How To Bring Cognitive AI to Legacy Systems in Healthcare Claim Processing Domain

• Dr. Patrick Ehlen, Chief Scientist at Loop AI Labs. Topic: Retrofitting Legacy Systems with Cognitive Technology: Captured Lessons and Best Practices

• Panel Discussion with Audience Questions - Moderator Erika Lunceford, Head of Technology Client Relationship Management at BNY Mellon

8:30pm - Closing Remarks

About The Organizers

Started by Alexander Hamilton in 1784, BNY Mellon is one of the longest-lasting financial institutions in the world. Today, the BNY Mellon Silicon Valley Innovation Center is creating new technology, acquiring talent and engaging clients.

Loop AI Labs has developed the human capacity cognitive computing platform Loop Q. It is an unsupervised technology that learns and reasons on unstructured 'dark' data without human intervention. With Loop Q, organizations can understand and make decisions based on all of the data at their disposal.