Sep 27, 2021 • 21M

🎧#33 Time Travel, Butterfly effects, Sensor fusion, AI strategies, Data Augmentation, and how to simulate the future to transcend the know – Marcus Weiland

How can we run infrastructure from the future? Where do AI initiatives start? What are the applications of physics based-models, and how can companies travel through time?

Open in playerListen on);

Appears in this episode

Nicolas Waern
The Beyond Buildings Podcast is created for everyone who loves innovation in a Smart City context
Episode details

“You can use smart models as you want in a smart AI, but it doesn't matter if you have really poor sensory data or if your sensors are not a fit for the task that you were trying to give them.”

In this episode of BeyondBuildings Podcast, we are talking to the AI-enthusiast Marcus Weiland from Savantic. His background in entrepreneurship and applied AI in several fields make for a very interesting discussion. He works as the deputy CEO for Savantic who helps customers understand, and leverage the possibilities with AI and Machine Learning at scale.

We get to learn about the practical aspects of knowledge transfer between people and computer vision, and also get into the nitty-gritty of data costs related to connecting things to the cloud. We discuss the applications of physics based-models and how companies can travel through time.

This is the first part of 2 and you will definitely be in for an AI ride that will demystify some of the mystique that surrounds AI initiatives today. What happens when customers need to restart their data strategy after having spent millions on it? Is there a way to simulate the future in order to transcend the now?

Here are some of the questions that are being answered in the episode!  

  • What are the uses of physics-based models and what are some examples?

  • What could be a relevant AI approach in the healthcare industry?

  • Where do AI initiatives start?

  • How important is it with knowledge transfer between domain experts?

  • What is the relationship between analyzing data, domain knowledge, and transferring that into models?

  • What is the role of computer vision for manufacturing companies?

  • If data is cheap, how costly is it to turn data into information?

  • What is sensor fusion and what is the relationship with AI?

  • What is the importance of quality sensors?

  • Is it possible to collect data in the wrong way, and what would that mean for companies in a fast-paced environment?

  • How can we run the buildings from the future?

This episode ended in a cliffhanger, and we will continue to talk more about the possibilities of running buildings from the future, and what that could look like in the next episode! If you found this episode interesting, remember to subscribe/like and share!

We hope that you and others will go above and beyond, with the Beyond Buildings Podcast!

Leave a comment

Time Travel, Butterfly effects, Sensor fusion, AI strategies, Data Augmentation, and how to simulate the future to transcend the know is out at Anchor and all places where Podcasts live!

And finally a big thank you to Marcus Weiland and if you want your solution to be seen by thousands of decision-makers in the Smart Building/Smart City industry, reach out to us and become a sponsor for the Beyond Buildings Podcast and Newsletter!