In this episode of the IoT For All Podcast, Michael Zolotov, CTO and co-founder of Razor Labs, joins Ryan Chacon to discuss AI and IoT in the mining industry. The conversation covers predictive maintenance, AI sensor fusion, real-world examples of predictive maintenance, the importance of automation, the impact of generative AI, and advice for companies looking to deploy solutions in harsh environments and heavy industries.
Michael Zolotov is CTO and co-founder of Razor Labs. Michael is reshaping how mining operations harness machine-generated data by pioneering advanced solutions that turns data into actionable operational intelligence. Recognized as one of the field’s leading innovators, Michael has over a decade of experience driving technological breakthroughs into real-world business impact. Beyond Razor Labs, Michael is a co-founder and board member of Axon Pulse, Axon Vision, and Compie Technologies. Previously, Michael led large-scale artificial intelligence programs focused on sensor fusion and airborne radar systems. His groundbreaking work earned him a place on the Forbes 30 Under 30 list. Michael holds a Master's degree from Tel Aviv University.
Razor Labs, a leader in the mining technology sector, specializes in predictive maintenance with its flagship product, DataMind AI. Their award-winning advanced AI Sensor Fusion technology forecasts equipment failures, enhancing operational efficiency and safety. As a publicly traded company, they maintain a strong presence in key mining hubs, including Australia, South Africa, the United States, and Colombia, where their solutions have driven significant improvements.
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More about Razor Labs: https://www.razor-labs.com
Connect with Michael: https://www.linkedin.com/in/michael-zolotov-33a2b26b/
(00:00) Intro
(00:10) Michael Zolotov and Razor Labs
(01:03) Predictive maintenance in mining
(02:28) AI sensor fusion
(05:53) Real-world examples
(09:03) Benefits of vision AI in mining
(11:15) Challenges in the mining industry
(13:55) How does the mining industry view digital technology?
(15:08) Is there interest in generative AI?
(17:33) Advice for deploying solutions in heavy industries
(18:44) Learn more and follow up
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