Mantenimiento predictivo con IA: Razor Labs en el podcast «Reliability 4.0»
por Razor Labs 5 min leer COMPARTE From Reactive to Predictive: How AI is Transforming Equipment Reliability In this episode of the Reliability 4.0 Podcast, Razor Labs’ CTO & Co-Founder Michael Zolotov, joins host Sebastian Traeger, to discuss how AI is changing the way mining and industrial teams approach maintenance and reliability. Michael introduces DataMind […]
PODCAST: Razor Labs en “Dig Deep Mining Podcast” – Cómo la IA está cambiando las operaciones mineras
por Razor Labs 5 min leer COMPARTE In this episode of the Dig Deep Mining Podcast, Razor Labs’ CTO & Co-Founder, Michael Zolotov, joins host Rob Tyson to explore how artificial intelligence is reshaping predictive maintenance in the global mining sector. Michael shares the story behind Razor Labs’ flagship product, DataMind AI™, and how it […]
Webinar: Decisiones de mantenimiento basadas en datos: lecciones de la implantación en la minería del carbón
por Razor Labs 6 min leer COMPARTE Mantenimiento más inteligente en la minería del carbón con DataMind AI™. El mantenimiento predictivo en la minería del carbón es todo un reto: las cargas elevadas, los materiales abrasivos y los entornos remotos crean una tormenta perfecta para que se produzcan paradas imprevistas. En este seminario web grabado, […]
PODCAST: Razor Labs en IoT For All – IA e IoT en la Industria Minera
by Razor Labs 5 min read SHARE In this episode of the IoT For All Podcast, Razor Labs’ CTO & Co-Founder Michael Zolotov joins host Ryan Chacon to discuss how AI and IoT are reshaping predictive maintenance in one of the world’s toughest industries – mining. Michael shares how DataMind AI™ leverages multi-source sensor data […]
Razor Labs en GRX25: Una conversación sobre innovación minera con Mark Warren
by Razor Labs 3 min read SHARE In this exclusive GRX25 interview, Andrew Kaushal (VP Sales) sits down with Mark Warren, Corporate Executive Consultant at Snowden Optiro, to discuss the evolving collaboration between miners, METS, and tech providers. Together, they explore the challenges of adopting AI and predictive maintenance, and the practical steps mining companies […]
Minería más inteligente: Dentro del enfoque galardonado de Razor Labs para el diagnóstico predictivo y la seguridad
Razor Labs is an AI predictive maintenance technology company and a Triple Category Winner in the 2024 Mining Technology Excellence Awards
PODCAST: Razor Labs en The Northern Miner – Mantenimiento predictivo con fusión de sensores de IA
by Razor Labs 4 min read SHARE In this episode of the Northern Miner Podcast, Michael Zolotov, CTO & Co-Founder of Razor Labs, joins host Adrian Pocobelli to discuss how AI Sensor Fusion is redefining predictive maintenance in mining. Learn how Razor Labs’ flagship product, DataMind AI, combines data from vibration sensors, oil analysis, camera feeds, […]
DataMind AI™ Una solución de mantenimiento predictivo todo en uno
Por Michael Zolotov 4 min leer COMPARTE Hace año y medio, ChatGPT irrumpió en escena, desencadenando una intensa carrera entre gigantes tecnológicos como OpenAI, Microsoft y Facebook para desarrollar los modelos de IA más avanzados. A pesar de los rápidos avances iniciales, el campo de la IA se ha estancado, lo que ha provocado una […]
Seminario web: Ejemplos reales de mantenimiento predictivo con fusión de sensores de IA
by Razor Labs 4 min read SHARE Realising the Full Potential of Predictive Maintenance with AI Sensor Fusion Predictive maintenance has become a critical focus for mining operations looking to reduce downtime, improve asset reliability, and increase operational efficiency. In this recorded webinar, produced in collaboration with Austmine, we explore how AI Sensor Fusion is […]
Razor Labs se asocia con SIMEC Mining tras la fase piloto inicial
By Michael Zolotov 4 min read SHARE A year and a half ago, ChatGPT burst onto the scene, sparking an intense race among tech giants like OpenAI, Microsoft, and Facebook to develop the most advanced AI models. Despite initial rapid advancements, the AI field has hit a plateau, prompting a reevaluation of how we push […]