Next Meetup

Machine Learning at the IoT Edge powered by Open Source
Abstract: A single device can generate thousands of records of data every second. In traditional implementations, all data is transmitted back to a server or gateway for scoring by a machine learning model. This data is also stored in a data repository for later use by data analysts and scientists. By the year 2020, the world will have an estimated 20 billion IoT devices. Storing, processing, reasoning with, and extracting business value out of this data will require huge computational and financial resources. Matt Ellis shares an approach that draws on big data and deep learning to make predictions directly on edge devices without depending on cloud computing. Matt demonstrates deployments of Google TensorFlow models directly onto edge devices or into serverless architectures using a lightweight open source edge microservices framework, Project Flogo. With the Project Flogo framework, you can build applications that run on edge devices and integrate them with IoT gateways. Additionally, you can extend the reach of core applications and infrastructure to edge devices to interconnect everything anywhere. Matt concludes by discussing industry-specific use cases and scenarios and explaining how reducing ingress traffic to cloud services can lead to an 80% cost savings. Speaker Bio: Matt Ellis is a senior product manager and head of open source software at TIBCO Software, where he focuses on product and strategy around open Source and Project Flogo, an open source edge microservices framework built entirely in Go. As of late, Matt has spent his time focusing on two key technical shifts: machine learning and serverless compute. Matt has brought many technical achievements to the Golang open source community in areas related to edge machine learning with TensorFlow and serverless compute constructs in Golang with AWS Lambda. Matt has been involved in the tech industry for over two decades and has held a number of roles. Early in his career, he developed 3D rendering engines in both OpenGL and Direct3D and authored a number of technical manuals and books on the topic. During an independent consulting opportunity in Brazil, Matt authored two additional books focusing on RESTful services and APIs. Schedule: 6:00 - 6:30 Registration & Food 6:30 - 7:30 Talk and Q&A 7:30 - 8:00 Networking and Exit

TIBCO Software, Building Two

3301 Hillview Avenue · Palo Alto, CA

What we're about

This is a networking and educational group for those of us wanting to expand our knowledge and network in all things that relate to and 'touch' AI. As we'd like this to be a member-influenced group, if there are specific topics or speakers that you'd like to see, just let us know.

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