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Solving the AI Scale Dilemma: When the AI innovation imperative meets barriers of scale, skill and compute

Wed, Jan 19, 2022 · 1:00 PM · Eastern Time (US & Canada)
About This Webinar

As the AI/ML revolution pushes forward, many organizations face an increasingly common dilemma. On the one hand, they understand the rising need to innovate and grow revenues, as well as drive operational efficiency with AI/ML. On the other hand, they face limitations on scale, including a skills gap and insufficient infrastructure to handle increasingly compute-intensive AI/ML workloads.

Join Jennifer Glore, Vice President, Customer Engineering, SambaNova and industry analyst, Dan Faggella, Founder and Head of Research, Emerj Artificial Intelligence Research as they discuss insights and findings from “The executives 2021 AI/ML Maturity Report: Preparing for the AI/ML Revolution”, the latest survey from SambaNova of over 600 AI/ML executives and professionals, covering current challenges, KPIs for success, common barriers to innovation with AI and a look at trends that offer a path forward.

All registrants will receive a copy of the report following the webinar.

Who can view: Everyone
Webinar Price: Complimentary
Featured Presenters
Webinar hosting presenter
VP, Customer Engineering, SambaNova
Jennifer is a results-oriented, engineering leader with 17+ years of experience in product development from concept to launch, technical program management for multiple product lines, enterprise architecture and strategic customer engagements.

Webinar hosting presenter
Founder and Head of Research, Emerj Artificial Intelligence Research
Daniel Faggella is Founder and Head of Research at Emerj Artificial Intelligence Research. Daniel is a globally recognized speaker on the use-cases and ROI of artificial intelligence in business.

Called upon by organizations like the World Bank, the United Nations, INTERPOL, and global pharmaceutical and banking companies, Daniel helps business and government leaders navigate the competitive landscape of AI capabilities, and build strategies that win.

Daniel’s AI predictions and research has been featured in TechCrunch, Inc, Xconomy, Forbes, and more. His research is referenced in Harvard Business Review, the World Economic Forum, MIT Technology Review, and more.
Webinar hosting presenter
Managing Editor of EnterpriseAI
Todd R. Weiss has been writing about technology for 20 years, covering open source and Linux, high-performance computing, supercomputers, cloud computing, virtualization, containers and microservices, IT security and more. Todd previously worked as a staff writer for Computerworld and eWEEK. He has freelanced for a wide range of tech websites, including TechRepublic, Channel Futures and Channel Partners, Computerworld, PC World, Data Center Knowledge, IT Pro Today, Linux.com and The Linux Foundation. Todd earned his bachelor’s degree in journalism from the University of Wisconsin-Madison. A Philadelphia native, he lives in Lancaster County, Pa., and spends his spare time tinkering with his classic 1991 Mazda Miata, his 1991 Suzuki GS500E motorcycle and collecting toy taxis from around the world.