The Road to AI-Enablement: How to Leverage Data for Business Success - We talk IoT #60

What does it take for a company to become data-driven? Today’s discussion will explore Siemens’ strategies behind integrating AI and machine learning. My guest is Michael Taylor, the Chief Data Scientist at Siemens. He is at the forefront of leveraging data to drive real business value. From smart infrastructure to predictive maintenance, Siemens is a prime example of how a company can be truly data-powered and AI-enabled. #iot #ai #data #industrial #wetalkiot   Summary of this week's episode: 03:02 Siemens' Data-Driven Journey 05:18 Challenges and Strategies in Data Utilization 07:21 Unified Data Strategy Across Siemens 11:28 Predictive Maintenance and Common Use Cases 13:50 The Importance of Data Sharing 16:51 Cultural and Mindset Shifts 19:56 Break and Sponsor Message 20:36 The Long Journey of Data Transformation 23:07 Smart Cities and Broader Impacts of Data   Show notes: Michael Taylor: https://www.linkedin.com/in/mtaylor104/ About Avnet Silica: This podcast is brought to you by Avnet Silica—the Engineers of Evolution. You can connect with us on LinkedIn: https://www.linkedin.com/company/silica-an-avnet-company/. Or find us at www.avnet-silica.com.

Om Podcasten

The We talk IoT podcast keeps listeners updated on the most important developments in the world of the internet of things, iIoT, artificial intelligence, and cognitive computing. Our guests are leading industry experts, business professionals, and experienced journalists as they discuss some of today’s hottest tech topics and how they can help boost your bottom line. You can follow We talk IoT – the Internet of Things Business podcast anywhere you get your podcasts. About the host Stefanie Ruth Heyduck is a science and tech journalist with over 20 years of experience. She has worked for renowned magazines, research institutions, and tech companies. Also, she is an experienced communications consultant and supports her clients with digital and content strategies and new work transformations.