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Unbundling the interface mess to enable scalable AI & IoT applications
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Christian is actively building the API integration and data exchange platform xapix.io with a global team to shape the future world of bits around us. Based in the US, he is a Masters Fellow in System Design and Management at Massachusetts Institute of Technology in Cambridge, MA and spent his last summer with UBER Technologies as a Developer Advocate in SF. He focuses on the intersection of information technology and digital management. At MIT, he worked as a Research Assistants for MIT Sloan’s Initiative on the Digital Economy on corporate innovation and led a team at MIT to build the next generation of digital transport products for Hyperloop Transport Technologies.Prior to MIT, Christian co-created the Lufthansa Innovation Hub in Berlin where he focused on building partnerships and an API for Lufthansa Group. Positions held at LH include those of the Executive Assistant to the Board at Lufthansa Cargo for Finance & HR as well as to the CEO of LH Cargo. Together with fellow World Economic Forum Global Shapers, he has built up the NextB2BForum which strengthens the collaboration of corporations and startups where he focused on innovation & trends in the mobility sector.
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The number of IoT devices is skyrocketing and companies are evolving from creating transparency into their operations (remote monitoring and predictive analytics) towards their vision of autonomous operations.
But several challenges exist:
– AI models rely on homogenous data models
– Incoming data streams need to be interpreted, aligned, and transformed into the common models
– Data needs to flow between edge and cloud – across various cloud and IT system providers
Solving one of the biggest IoT challenges requires systems to be polyglot. We will highlight approaches from the automotive and manufacturing industry how fleet companies and factory operators are tackling the specific challenges in their world with horizontal software tools that empower their domain experts and citizen developers.
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Hello and welcome everyone. My name is crystal meth and I'm the CEO and co-founder of that picks and I'm excited to have you on this virtual session. Today. We're going to tackle the question on how you best turn your data into actions and specifically the challenge around on been laying the interface mess to enable scalable and I I II and III RT application, although this is a virtual virtual session today. I would love to engage in an active conversation with you. So please don't hesitate to reach out to me personally Christian exotic Scio
or through one of the social media channels. I'm going to share it like that. Friends on Channels with you later in this presentation. But now let's Dive Right In and want to give you a little bit of an overview of the different questions and topics that we're going to tackle today what you basically signed up for first of all, we're going to start with a question that if there is a mess. Why is there a mess in the first place? Where is it coming from? What are the two drivers of that Mass to really understand the sources of
complexity because we believe that this is a critical piece of later on solving this we're going to look at to specific use cases one coming out of the automotive industry in our work with different car and truck manufacturers their the second part looking at manufacturing date examples on which bills on our work with leaders there in the space. Houston text Laney challenges essentially
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