events.edgeimpulse.com
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Submitted URL: https://replyrep.com/home/index/d9ac4bda-0fbd-44e9-8ffb-39e012263046?rType=0
Effective URL: https://events.edgeimpulse.com/health-and-wearables-lunch-and-learn?hs_preview=hfXpGApf-79224657962
Submission: On July 26 via api from US — Scanned from DE
Effective URL: https://events.edgeimpulse.com/health-and-wearables-lunch-and-learn?hs_preview=hfXpGApf-79224657962
Submission: On July 26 via api from US — Scanned from DE
Form analysis
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<p>Edge Impulse is committed to protecting and respecting your privacy, and we’ll only use your personal information to administer your account and to provide the products and services you requested from us. From time to time, we would like
to contact you about our products and services, as well as other content that may be of interest to you. If you consent to us contacting you for this purpose, please tick below to say how you would like us to contact you:</p>
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VIRTUAL LUNCH AND LEARN WITH EDGE IMPULSE EDGE MACHINE LEARNING FOR HEALTH AND SAFETY MONITORING WHAT TO EXPECT? Edge ML is one of the most promising innovations of the last few years, enabling AI at the edge across a wide variety of industries. It addresses the need for intelligence in IoT devices, allowing end users to capture insights from audio, video, and sensor data. With the market estimated to exceed an annual shipment of 2 billion devices by the end of 2022, the market opportunities are massive. Wearable technology combined with edge machine learning allows people to take charge of their health data in real-time. One can now check key bodily metrics to make better health-conscious decisions. For instance, some devices improve posture while others monitor UV exposure, glucose levels, fix circadian rhythms, and help regulate body temperature. Using edge machine learning, these wearables devices are bringing unique solutions to problems. Join this Lunch and Learn for a chance to hear from one of the leading experts in this field, as he will highlight the real market opportunities, key use cases, and existing gaps before discussing the appropriate tools and services, providing recommendations, and sharing best practices to accelerate enterprise adoption of edge ML in health and safety space. Zach Shelby Founder of Edge Impulse ZACH SHELBY Co-founder & CEO, Edge Impulse -------------------------------------------------------------------------------- Zach is an entrepreneur, investor and technologist in the embedded space with a passion for TinyML and engineering. He is a former Arm VP, founder and CEO of the Micro:bit Foundation and Sensinode, active in several of his portfolio companies, and working to bring ML to any embedded device. RESERVE YOUR SEAT TODAY First name* Last name* Email* Job title* Company name* Country/Region* LinkedIn Lifecycle stage Edge Impulse is committed to protecting and respecting your privacy, and we’ll only use your personal information to administer your account and to provide the products and services you requested from us. From time to time, we would like to contact you about our products and services, as well as other content that may be of interest to you. If you consent to us contacting you for this purpose, please tick below to say how you would like us to contact you: * I agree to receive other communications from Edge Impulse. In order to provide you the content requested, we need to store and process your personal data. If you consent to us storing your personal data for this purpose, please tick the checkbox below. * I agree to allow Edge Impulse to store and process my personal data. * You can unsubscribe from these communications at any time. For more information on how to unsubscribe, our privacy practices, and how we are committed to protecting and respecting your privacy, please review our Privacy Policy. Copyright © 2022 EdgeImpulse Inc.. All Rights Reserved.