Join us for an engaging conversation with Philipp Wehn, Vice President of Innovation & Venture Building at Siemens, as we dive deep into the exciting realm where artificial intelligence and real-time location systems intersect.

In this episode, Philipp unveils Siemens' remarkable journey of harnessing AI to achieve unparalleled accuracy in Real-Time Location Systems (RTLS). He shares inspiring real-life stories, including a deeply personal account of how this cutting-edge technology played a pivotal role in ensuring the safety of his newborn child in a hospital. Discover the myriad applications of AI-powered RTLS in healthcare and manufacturing, and how it's revolutionizing these industries.

We also embark on a journey through the evolution of smart buildings. Philipp compares traditional homes with their smart counterparts, examining the transformative influence of voice models like Siri and Alexa in reshaping our interactions with living spaces. Dive into the world of computer vision, with a special focus on its rapid growth in China, and explore the pressing challenges of safeguarding data privacy in the future of smart buildings.

Philipp sheds light on the integration of AI into corporate strategies, discussing its profound impact on productivity. Together, we contemplate the concept of autonomous enterprises and the potential for AI to liberate humans from mundane tasks, empowering us to tackle more complex and impactful challenges. This riveting conversation is filled with intriguing insights and real-world examples of AI in action that you won't want to miss.

Key Quotes: 

• The first thing is we can tell a hospital the exact utilization rate of an asset or an asset class. And then secondly, we can make sure that the assets that are not used are put away. And then we can do also asset loss prevention through virtual geofencing.So we can make sure if an asset leaves a certain area or enters a certain area, like the exit zone, we can send an alert to nurses or to staff. So that 20 percent asset loss can be reduced to approximately 5 percent through real time location services. And that is a huge moneymaker for healthcare.
• Through GenAI, we will see an acceleration of these voice models.Siri, Alexa, and others. And then the second thing, geofencing, as soon as I leave the building, the house, um, my AC and heating goes to an echo mode, and then I can also opt into like a smart  AI driven schedule that is pretty much based on all other houses in the area, and that adapts my schedule to maximize comfort and efficiency.
• I think in our Western society, the one thing that keeps us away from major progress through the results from computer vision is aata privacy. Many people, they really care about their data privacy and I get that. I am the opposite. I always sa I'm a glass person. Take my data as soon as, as long as you make my life better, take it.
• I transformed completely within the first year to be an AI first person. With AI first, I mean, whenever I do anything. I asked myself, can AI help me? And I have different applications for that. This is also part of the Gen AI strategy that we put together here in the company but for different fields like writing collaterals, summarizing meetings, putting together decks,  preparing for a session, summarizing a competitive report.I would say Generative AI in the past six months, 5x’d my personal productivity in my job. Just because whenever I do something, I ask myself, which tool can I use to accelerate the process to a result? And let's be honest, the result isn't perfect immediately, but I get from 0 to 80 percent within 30 seconds. And that is the time that, that before generative AI, that drained my head, that made me tired, getting from 0 to 80. But now I get this 80 percent perfect piece of something, and I can use my human brain to make it awesome.
• I think that the holy grail will be understanding the model. Pre filtering data that flows into it, fine tuning it in the end, and then creating a solution that is trustworthy and that solves a problem that wasn't possible to be solved before the rise of Gen AI
• I have the vision of of autonomous enterprises a couple decades in the future where we, we maybe have a society where we don't have competition between enterprises anymore and the enterprises interact with each other and just generate products and wealth for us so that we can return to do what humans can do best, be creative, invent things, save this planet and get, get all the knowledge workers out of these jobs where they do repetitive things, like they would be in an automotive car factory and do the same thing every single day. These people are smart, these people are creative, and I think AI has the potential to free them up and do what we as humans can do best. Which is solve problems, be creative, invent the future.

Time stamps:

(00:43) RTLS accuracy with AI

(3:45) How hospitals utilize RTLS for increased security 

(11:30) Expanding to smart homes and centers

(14:45) Expanding machine learning through the use of cameras 

(18:50) Venture building and energy efficiency 

(23:08) Protecting data privacy 

(28:27) Building Trust and Sustainability of AI