At Apparo’s CXO Tech Insights in September, moderator Subhash Ramachandran of Software AG discussed ChatGPT and Generative AI with panelists, Kim Cato of Thermo Fisher Scientific, Liz Escobar-Fernandes of Duke Energy, and Michael Hanley of CareSource.
Topic Background: Open AI’s ChatGPT is changing the world, gaining as many users in 2 months as Twitter gained in 5 years. Within weeks, organizations of all sizes and industries were rethinking processes, job roles, and how to innovate with AI to drive growth, improve customer and employee experience, and business operations. Enterprise innovations require data to feed next-generation technology, drive innovation, and to measure impact. Is your organization ready?
During the panel, the moderator discussed the following questions with our panelists:
- What has changed about enterprise data in 2023: sources, volume, complexity, sensitivity, uses?
- How have operational, policy, and legal implications of using enterprise data to drive innovation changed?
- What are use cases for generative AI with enterprise data?
- What are the implications of using generative AI? How will enterprise data be added to the existing model/data sets?
Thank you to our panelists for channeling this topic and sharing how these findings are helping them lead in their industries.
- Kim Cato of Thermo Fisher Scientific
- Liz Escobar-Fernandes of Duke Energy
- Michael Hanley of CareSource
As well as a big thanks to our facilitator:
- Subhash Ramachandran of Software AG
And thank you to our sponsors! Without them, this rich discussion wouldn’t have been possible.
- Series Sponsor: Palo Alto Networks
- Forum Sponsor: Software AG
See more photographs from this event here.
