Date May 21, 2020
Time 11:00 to 13:00 PDT / 14:00 to 16:00 EST
Venue VirtualRegister Now
As businesses adjust to new normal in wake of Covid-19, technology advancements and pace of adoption will be accelerated to create more resilient organizations of future.
Artificial Intelligence (AI) and Machine Learning (ML) are at the core of IT and business strategy for Digital Enterprises aiming to deliver personalized customer and employee experience, reduce opex, prevent risk materialization and create a resilient and Live Enterprise. Quality assurance of AI systems has been a territory less explored and needs formal and structured approach to ensure systems are robust and safe.
You are cordially invited to attend the Infosys Virtual Roundtable on "Driving Quality Assurance in an AI-led world" on May 21, 2020. Attend this roundtable to hear from experts how AI and related trends are impacting QA.
Keynote Session – Building a robust and safe Digital enterprise in an AI-led world
Dr. Jim Whitehead, Professor of Computational Media, University of California, Santa Cruz
Expert Session – Explainable AI - Applying formal methods to analyze and verify neural networks
Dr. Corina Pasareanu, Technical Professional Leader – Data Science @ KBR, Ex-Associate Research Professor, CyLab, Carnegie Mellon University and ACM Distinguished Scientist, Robust Software Engineering (RSE) group, KBR@NASA Ames Research Center
Divya Gopinath, Researcher in Formal Verification, Robust Software Engineering (RSE) group, KBR@NASA Ames Research Center
Session – Leveraging Deep Learning to Change Business Outcomes
Session - Leveraging AI for Building QA tools of Future
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