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Accelerating AI
John L. Connell
7 episodes
9 months ago
In the Accelerating AI podcast, we spotlight thought leaders and product visionaries solving real-world problems, to help business leaders navigate AI deployment in their organizations. We see automation as the modern Industrial Revolution, and the emerging AI stack as critical infrastructure for the future of work.
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Entrepreneurship
Business,
Management,
Marketing
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All content for Accelerating AI is the property of John L. Connell and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
In the Accelerating AI podcast, we spotlight thought leaders and product visionaries solving real-world problems, to help business leaders navigate AI deployment in their organizations. We see automation as the modern Industrial Revolution, and the emerging AI stack as critical infrastructure for the future of work.
Show more...
Entrepreneurship
Business,
Management,
Marketing
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Episode 6: MP Eisen, VP of Partnerships at Glean
Accelerating AI
28 minutes 19 seconds
1 year ago
Episode 6: MP Eisen, VP of Partnerships at Glean
In this episode, John L. Connell and MP Eisen discuss Glean's go-to-market strategy, how business leaders are thinking about implementing AI tools, AI centricity vs human centricity, and more! MP is VP of Partnerships at Glean. Previously, she served as VP of Channel Sales at Asana, tripling ARR for three consecutive years and saw the business grow from 250 to 2K employees. Before Asana and Glean, MP supported strategy and operations at Nerdwallet, and picked up degrees from Wharton as well as Georgetown. Glean is a Series D company valued at $2.2B, solving knowledge search and discovery with AI.
Accelerating AI
In the Accelerating AI podcast, we spotlight thought leaders and product visionaries solving real-world problems, to help business leaders navigate AI deployment in their organizations. We see automation as the modern Industrial Revolution, and the emerging AI stack as critical infrastructure for the future of work.