Listen "Gennady Pekhimenko from CentML"
Episode Synopsis
Gennady Pekhimenko is the CEO and Co-Founder of CentML.
Gennady is also an Associate Professor at the University of Toronto and a Faculty Member at Vector Institute.
Takeaways
Genesis of CentML - from academia to industry
Commercializing university research
Tailwinds behind AI and market opportunities
Three Pillars of AI - models, data and hardware
Enterprise adoption of AI - trends and insights
The future of AI models - commoditization vs. innovation
Raising $30M+ from Gradient Ventures, Radical Ventures, Deloitte Ventures, Nvidia, Thomson Reuters Ventures and more
Attracting talent - competitive AI job market
The UofT AI talent pool with Geoff Hinton, Raquel Urtasun, Aidan Gomez and many more
What the federal government should do with the $2.4B in AI funding
Why compute in Canada is critical to our AI success
The role of Vector Institute
Personal growth as a CEO and constantly learning
Chapters
00:00 The Genesis of CentML: A Journey Through Academia and Industry
04:31 Commercializing University Research: The Builder Mindset
07:47 The Tailwinds of AI: Market Opportunities and Challenges
11:01 Three Pillars of AI: Models, Data, and Hardware
15:19 Enterprise Adoption of AI: Trends and Insights
18:37 The Future of AI Models: Commoditization vs. Innovation
21:46 Building a Flexible and Scalable AI Business
25:35 Attracting Talent: Competing in the AI Job Market
29:06 The Power of Networking: The Toronto AI Ecosystem
32:11 Government Initiatives: Building AI Infrastructure in Canada
37:42 AI Adoption in Enterprises: A Gradual Shift
40:57 Personal Growth: The Journey of a Startup CEO
Keywords
CentML, AI, machine learning, commercialization, university research, enterprise adoption, AI infrastructure, talent acquisition, Toronto AI ecosystem, government initiatives
Gennady is also an Associate Professor at the University of Toronto and a Faculty Member at Vector Institute.
Takeaways
Genesis of CentML - from academia to industry
Commercializing university research
Tailwinds behind AI and market opportunities
Three Pillars of AI - models, data and hardware
Enterprise adoption of AI - trends and insights
The future of AI models - commoditization vs. innovation
Raising $30M+ from Gradient Ventures, Radical Ventures, Deloitte Ventures, Nvidia, Thomson Reuters Ventures and more
Attracting talent - competitive AI job market
The UofT AI talent pool with Geoff Hinton, Raquel Urtasun, Aidan Gomez and many more
What the federal government should do with the $2.4B in AI funding
Why compute in Canada is critical to our AI success
The role of Vector Institute
Personal growth as a CEO and constantly learning
Chapters
00:00 The Genesis of CentML: A Journey Through Academia and Industry
04:31 Commercializing University Research: The Builder Mindset
07:47 The Tailwinds of AI: Market Opportunities and Challenges
11:01 Three Pillars of AI: Models, Data, and Hardware
15:19 Enterprise Adoption of AI: Trends and Insights
18:37 The Future of AI Models: Commoditization vs. Innovation
21:46 Building a Flexible and Scalable AI Business
25:35 Attracting Talent: Competing in the AI Job Market
29:06 The Power of Networking: The Toronto AI Ecosystem
32:11 Government Initiatives: Building AI Infrastructure in Canada
37:42 AI Adoption in Enterprises: A Gradual Shift
40:57 Personal Growth: The Journey of a Startup CEO
Keywords
CentML, AI, machine learning, commercialization, university research, enterprise adoption, AI infrastructure, talent acquisition, Toronto AI ecosystem, government initiatives
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