About this episode

Barry Libert discusses the transition from pilot phases to successful implementation in industrial IoT and AI.

In this episode of the IoT For All Podcast, Barry Libert, Chairman and CEO of HiveMQ, joins Ryan Chacon to discuss moving past the pilot phase in industrial IoT and AI. The conversation covers viewing businesses as data streaming entities, the importance of understanding one's data collection processes, aligning different tiers of employees to achieve success, the shift from connectivity to AI data platforms, the role of agentic workflows, and the type of leadership required to navigate the evolving landscape of data and AI. Barry Libert is the Chairman and CEO of HiveMQ. He has spent 40+ years as a board member, CEO, and serial entrepreneur. He founded and exited several businesses, advised more than 350 CEOs, and served on more than 35 boards in his career. Most recently, Barry transformed Anaconda into a unicorn, adding $100M in new ARR in 18 months based on a proprietary open- source/open-core commercialization GTM playbook he co-designed and implemented. Barry is focused on AI platforms with network effects and data moats. He has co-authored 6 books, 20+ ebooks, and 500+ articles in the WSJ, NYT, HBR, MIT, and Forbes. He has appeared on CNN, CNBC, Fox, NPR, and delivered…

People in this episode

Host: Ryan Chacon

Guest: Barry Libert

Topics covered

• industrial IoT
• AI
• data streaming
• data collection processes
• leadership in AI
• agentic workflows

Keywords

• IoT
• AI
• data platforms
• leadership
• business strategy
• data workflows

Mentioned in this episode

Organizations: HiveMQ, McKinsey & Company, John Hancock, Arthur Andersen, Tufts University, Columbia University

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