Real time ai on the edge


Published on

An Imagimob presentation from the event "Get On Top of Machine Learning"

Published in: Business
  • Be the first to comment

  • Be the first to like this

Real time ai on the edge

  1. 1. 1 Imagimob Real Time AI on The Edge Safety, efficiency and user experience Enabling actionable insights on small devices |
  2. 2. • Real time AI on the edge • Patent granted SensorBeat • Startup of the year 2017 • 33-listan 2016 and 2017 • Red Herring 2016 Awards • 7 customers including ABB Large corporates Have raised $1 million in VC capital Funding • Founded 2013 • Based in Stockholm • Experts in Sensors and AI What, where • 7 customers including Bellpal and Moggie Innovative startups In brief © Imagimob
  3. 3. 3 • IDC: ”By 2019, 40% of digital transformation initiatives – and 100% of IoT initiatives – will be supported by AI capabilities.” • IDC: ”As much as 45% of IoT created data will be stored, processed, analysed and acted upon near or at the network edge” • ARM: ”1 trillion IoT devices will be built until 2035 - With the introduction of AI and machine learning, enterprises will be able to embark on projects never thought possible before.” • Peter Levine, Andreessen Horowitz: ”The next multibillion-dollar tech market (ie AI on the edge) was quietly born this year” • Microsoft: ”AI’s big leap to tiny devices opens world of possibilities” • Qualcomm: ”We envision a world where edge AI makes devices, machines, automobiles, and things much more intelligent, simplifying and enriching our daily lives” AI on the edge – what they say © Imagimob
  4. 4. 4 © Imagimob IoT systems • Data is streamed to the cloud • Enormous amounts of unstructured data • Latency • High power consumption
  5. 5. 5 © Imagimob AI on the edge • Autonomous • Real time • Low power
  6. 6. 6 © Imagimob SensorBeat features Real time Autonomous Fast to learn Low Power Low cost devices Low data costs Communication agnostic