Will Generative AI live up to the hype?
Tuesday, February 13, 2024
12:00 PM Eastern Standard Time 1 hour
Join industry leaders from S&P Global, Hewlett Packard Enterprise, and Intel for a webinar discussing the future of generative AI. Is it the key to creativity and innovation, or is it being overhyped? Learn how your organization can adopt this rapidly evolving technology while addressing concerns about security and ethical considerations. Come away empowered with practical strategies to leverage the creative power of Gen AI and drive meaningful change within your organization.
Register for this lively discussion that goes beyond the headlines for this cutting-edge technology.
Speakers:
Nick is a Managing Analyst with S&P Global Market Intelligence, responsible for 451 Research’s coverage of Data, AI, Analytics, Information Security, and Risk. As a co-founder of 451 Research and its lead AI and machine learning analyst, Nick has been researching and exploring the use cases for machine learning since the company’s inception in 2000.
Mohan leads the Ezmeral R&D and Product Management teams to define, develop and execute the Ezmeral Roadmap aligned with the overall business strategy. Mohan just recently joined HPE from Splunk where he built out and led the AI/ML and next-gen analytics product areas. Before Splunk, he started and led two companies focused on bringing advancedanalytics and data science into the enterprise data stack. Mohan was the recipient of the 2005 IEEE/IFIP dissertation award, and started his career at Intel Research followed by a brief stint at McKinsey & Co. Mohan has a Ph.D. in Computer Science and combines a deeply technical background with a passion to bring new technology to market.
Evan Sparks is General Manager and Vice President for AI Solutions atHewlett Packard Enterprise. Prior to its acquisition by HPE, Evan was cofounder and CEO of Determined AI.
At Determined and HPE, his group builds software that makes machinelearning engineers and data scientists fantastically more productive.
While earning his PhD in Computer Science in Berkeley’s AMPLab, hecontributed to the design and implementation of much of the largescale machine learning ecosystem around Apache Spark, including MLlib and KeystoneML.
Prior to Berkeley, Evan worked in quantitative finance and web intelligence. He also holds an AB in Computer Science from Dartmouth College.
