BUILDING SMARTER IOT PRODUCTS WITH EDGE AI
Talks by Texas Instruments, ARM and Swim.ai
Date and time : Thu 23 May 2019, 6:15 pm - 9:30 pm
Venue : Cocoon Global, 4 Christopher St, London EC2A 2BS
Limited to : 300 participants
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Supported by
AI is moving towards edge devices, making connected things become even more intelligent. Curious about discovering how Edge AI can bring huge benefits to your IoT design? Then join us on the 23rd of May to learn more from:

- One of the top ten semiconductor companies worldwide (Texas Instruments).
- The British multinational semiconductor and software design company (ARM).
- World-class expertise who knows how to help you maximise your application’s performance, resiliency, and management (Swim.ai).

See agenda below for full info about the speakers.

Drinks will be served throughout the night.
Community partners
Guest speakers
Texas Instruments
Matthieu Chevrier
System & Applications Manager
ARM
Chris Shore
Director of Embedded Solutions, Automotive & IoT Group
Swim.ai
Greg Holland
Software Engineer
Guest speakers
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Speaker 1: Matthieu Chevrier, System & Applications Manager at Texas Instruments

Talk Title: Embedded Analog Intelligence for Robotics
About the speaker: : Matthieu Chevrier is a system and application manager at Texas Instruments, whose team solves customer problems on a worldwide basis. He has been leading efforts at TI on sensors for robotics since 2009 and extending to control aspects since 2016. He makes things happen by combining business, leadership and innovation skills to push the boundaries and stay on top of the latest industry trends.  He received his Engineering degree in from the Ecole Supérieure d’Electricité (Supélec), France, in 1999and holds patents in a broad range of low power sensing topics. 
About the company: Texas Instruments Incorporated (TI) is a global semiconductor design and manufacturing company that develops analog ICs and embedded processors. By employing the world's brightest minds, TI creates innovations that shape the future of technology. TI is helping approximately 100,000 customers transform the future, today.
Bringing the next evolution of machine learning to the edge
Texas Instruments Deep Learning (TIDL) Overview

Speaker 2: Chris Shore, Director of Embedded Solutions, Automotive & IoT Group at ARM

Talk Title: Think Local: Migrating Intelligence to the Edge
About the speaker: Chris has worked at Arm for over 18 years, currently as Director of Embedded Solutions in the Embedded& Automotive group. Before that, he spent 18 months in the Enterprise Marketing team, responsible for the technical content of Arm’s conferences, including TechCon and the Annual Partner Meeting. For 15 years, he was responsible forArm’s customer training activity – delivering over 200 training courses every year to Arm’s customers and end users all over the world. He also managed Arm’s Active Assist onsite services and the Arm Approved partner program.
About the company: Arm Ltd. From providing theIP for the chip to delivering the cloud services that allow organizations to securely manage the deployment of products throughout their lifecycle, Arm delivers a complete Internet of Things (IoT) solution for our partners and customers. It’s rooted in our deep understanding of the future of computer and security. Arm is the world’s leading technology provider of silicon IP and custom SoCs at the heart of billions of devices. Our portfolio of products enables partners to get-to-market faster. Arm removes the complexities of IoT with complete IoT products and pre-integrated subsystems that enable customers and partners to rapidly design and deploy flexible IoT solutions.
Download the full report “AI at the Edge"
The Next Era of Computing – Machine Learning for Every Device

Speaker 3: Greg Holland, Software Engineers at Swim.ai

Talk Title: TBC
About the speaker: TBC
About the company: SWIM.AI is on a mission to reinvent the application stack. The company is led by developers that design software from first principles to solve the fundamental challenges organizations face when building real-time applications. SWIM.AI offers the open source Swim platform for developers, and an enterprise-grade version of Swim, which has been widely adopted across a number of industries including IoT, smart cities, transportation, manufacturing and government to help transform their organizations. SWIM.AI is venture-backed by Arm, Cambridge Innovation Capital, and Silver Creek Ventures, and is headquartered in San Jose, Calif. and also has offices in Cambridge, UK.
Introducing the Swim Platform
"The Edge" is Not a Place

Agenda
6:15 pm
Attendee check-in, drinks and networking.
6:50 pm
Event opening.
7:00 pm
Talk and Q&A: "Embedded Analog Intelligence for Robotics".
Matthieu Chevrier - System & Applications Manager at Texas Instruments
7:20 pm
Talk and Q&A: "Think Local: Migrating Intelligence to the Edge".
Chris Shore - Director of Embedded Solutions, Automotive & IoT Group at ARM
7:40 pm
Talk and Q&A: TBC.
Greg Holland - Software Engineers at Swim.ai
8:00 pm
Community announcements: This is the time for you to share with the rest of the room what you are working on  or make any sort of announcement you like. You have 2 minutes max for a short shoutout.
8:20 pm
Drinks and networking.
9:30 pm
Event ends.
Highlights from our previous events

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