Talking the Future of Tech
We dive into AI, manufacturing and how to improve manufacturing outcomes by better analyzing data.
If you are interested in manufacturing or advanced applications of AI and digital twins – which is where we create accurate representations of physical items – this episode will hit all of your favorite topics!
Transcript: otter.ai/u/xNB0GZQXB4hQMly991…?utm_source=copy_url
How can the intersection of generative AI machine learning and artificial intelligence be applied to environments using digital twins? Today we discuss digital twins and artificial intelligence.
How can we improve the simulations, the systems, the interactions that we build? How can we correctly model complex components of everything from cars to pumps in ways that allow us to then build on top and build more intelligent systems.
We come up with some grounded examples.
Mentioned: projectarrow.ca/
Transcript: otter.ai/u/A79s08jpJ4-UPyT313…?utm_source=copy_url
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Rob’s Hot Take:
In the Cloud 2030 podcast episode on digital twins and AI, Rob Hirschfeld discusses the potential of using digital twins in handling real-world disasters, citing the recent train derailment in Ohio as an example. The concept involves quickly creating a digital twin of a disaster space to enable robots to learn, adapt, and efficiently mitigate the situation. Hirschfeld emphasizes the unprecedented opportunities for improving environmental interactions, responding to crises, and highlights the sophistication of ideas discussed in the episode. He encourages listeners to explore the full conversation on digital twins and AI at the2030.cloud.
We discussed the intersection of serverless and digital twinning. These two concepts are really tightly intermingled!
We discarded the idea of a central single serverless hub managing everything; instead, we think sites would actually have a mesh of serverless, interconnected event processing and stream processing systems. This approach is much more function dependent, but really opens up a lot of interesting discussions and possibilities.
We also discussed how to manage all of this meshed, serverless subscription modeling eventing, and digital twinning.
Transcript: otter.ai/u/FWW3CwG6gMX0N06QXp9C-pZd-s8
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Cloud2030ServerlessCloudDigital TwinsModelsAI/MLEvent ProcessingDistributed SystemsEdge
Rob’s Hot Take:
Rob Hirschfeld, CEO and co-founder of RackN and host of the Cloud 2030 roundtable discussions, shares insights from the January 13th discussion on serverless and digital twinning. He emphasizes the significant overlap between modeling data through digital twinning and building serverless systems that subscribe to events for action, transformation, and control. Hirschfeld underscores the need for a joint discussion on these topics, highlighting that a sustainable serverless system requires a reliable model, and a useful digital twin system must connect inputs and outputs to the real world. Interested listeners are invited to explore the full episode at the2030.cloud for a comprehensive discussion on these critical industry aspects.
We talked about 5G, factories and edge infrastructure.
They are very interconnected because they live at the network edge and are sensitive to how we need to route traffic.
This is important as the basis for using digital twinning as a new user experience (UI/UX) around interacting with systems. This new approach is starting to emerge and it will be very network intensive, visually oriented, and involve overlaying the physical world with the virtual world.
How the heck are we going to connect all these things together?
Transcript: otter.ai/u/7lSSCwLdGiF9JqyunUHo19m6yPk
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We talk about Digital Twins and the Edge with Simon Crosby from Swim.AI. They are literally building digital twins in edge locations so he has a lot to share.
We work to expand and understand how Simon’s experience translates into general cases and what we’re seeing in the edge. The systems that we’re trying to build are at the intersection of models and “connectedness” of all the components for the edge.
These designs don’t fit traditional models and it is what makes edge unique. Edge is not a single application, but a connected system that going to have to emerge to make all this work together.
Transcript: otter.ai/u/-uFSclONwRhhc4QlFywiSJAIF10
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