20 min
Time Travel, Butterfly effects, Sensor fusion, AI strategies, Data Augmentation, and how to simulate the future to transcend the know – Marcus Weiland Beyond Buildings
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- Technology
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?
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?
Links:
Marcus Weiland, Vice VD / Deputy MD at Savantic
Nicolas Waern, Podcast Creator, Strategy & Innovation Expert at WINNIIO
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?
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?
Links:
Marcus Weiland, Vice VD / Deputy MD at Savantic
Nicolas Waern, Podcast Creator, Strategy & Innovation Expert at WINNIIO
20 min