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