Data Science and AI Trends in Financial Services: DSE Presents Chat with the Lab webinar

 View Only
When:  Oct 22, 2020
Webinar Summary

In this unique and unprecedented time, digital transformation is at an all-time high and enterprises are driving growth by infusing AI across the fabric of their business.

Finance leaders are acutely aware of the need to leverage the “symbiotic relationship” between AI and data to enable and accelerate the AI journey of their businesses. But to remain competitive they must also tackle new challenges like modernising monolithic core systems, minimising IT maintenance, eliminating risks, and fighting fraud.

Essentially, what financial services companies are looking to data science and AI is to provide:

  • An extreme customer experience
  • Reduced operating expenses
  • Maximised resource efficiencies
  • Mitigation of operational risks

Join us for this session where the IBM Data Science and AI Elite (DSE) dives into how your business can deliver impact by tackling pertinent and timely use cases including loan default, personalisation, and ensuring trust and transparency.

Kristen Mcgarry
Kristen Mcgarry
Data Scientist & Industry Lead, Financial Services
IBM Data Science and AI Elite

Kristen is a Data Scientist & Financial Services Industry Lead from IBM’s Data Science and AI Elite team (DSE). Based In New York City, Kristen has partnered with clients on their journey to AI across multiple industries, including banking, insurance, industrial, automotive, and health care. Her cross-industry experience allows her to bring a fresh perspective and lessons learned from other industries to Financial Services. Kristen engages daily with clients to identify business opportunities for innovation, accelerate time to value, and help onboard those new to machine learning and AI. Kristen is passionate about discovering data insights, solving challenging problems, and promoting women in STEM.

Randy Phoa
Randy Phoa
Senior Data Scientist
IBM Data Science and AI Elite

Randy is a Data Scientist with more than 10 years of experience in the industry with a proven track record in executing Data Science projects that delivers business value. His expertise are in applying Machine Learning and Deep Learning techniques on Big Data that scales at an enterprise level. He has successfully implemented large Deep Convolutional / Recurrent Neural Networks to solve various types of Natural Language Understanding, Speech Recognition and Image Processing tasks. He enjoys keeping up to date with state-of-the-art developments and often applies these academic advancements to the business world with a practical approach. His background is in Computer Science and he has a Masters in Machine Learning from National University of Singapore.


#GlobalDataScience