On Innovation & Cocktail Party Economics
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This document discusses innovation through concepts like cocktail party economics, keeping things simple, having empathy, and embracing failure. It suggests innovation can happen by discussing ideas with others, focusing on understandable solutions, considering different perspectives, and learning from mistakes.
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For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
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Editor's Notes
- A third example is a project our fellows did in Boston in 2011 to take data about school selection and turn it into something digestible. This is what parents in Boston used to get. It’s 25 pages, all of them as dense as this one.
- Again, we turned that data into easily searchable, filtered results based on criteria you enter
- You see a map of eligible schools
- And information about those schools so you can make a more informed decision about the school your child should go to. We were able to convince the city to give us information about how many applicants each school got so you could better understand your odds of getting your student in. And this brings me to a point I want to make about all of these tools—everything we’ve built is all built on data that was already public and that the city was happy for us to work with. When it comes time to push for things that aren’t already available there can be tension, particularly, as in this case, when government officials thought it was too sensitive to release. And that’s a reflection on our approach. We think it’s important to work with government to make tools like these happen but that makes it MUCH harder for us to bring the accountability hammer down when they don’t want to release data.