1. 
   

   For my lessons today I went through the first part of QUIKs AI webinar.
   
   First up was Malik Saadi of ABI research...
   
   he just spoke again- here....
   
   ABI Research's July 11 Webinar Identifies the Market Forces Driving Edge AI
   
   
   
   
   NEWS PROVIDED BY
   
   ABI Research
   Jun 29, 2018, 08:00 ET
   
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   • 
     

   OYSTER BAY, N.Y., June 29, 2018 /PRNewswire/ --
   
   WHAT:45-Minute Webinar:Market Forces Driving Edge AI: Enabling Technologies, Value Proposition, and Key Use Cases
   
   WHEN:Date:July 11, 2018 (Wednesday); Time: 2 p.m. U.S. Eastern Time
   Duration: 45 minutes, including question-and-answer session
   
   WHO:
   Presented by ABI Research's Vice President of Strategic Technologies Malik Saadi and Industry Analyst Jack Vernon
   
   
   ABI Research’s July 11 Webinar Identifies the Market Forces Driving Edge AI
   WHY:AI is going to see a dramatic growth in adoption in many verticals. However, the currently popular model of having AI inference and training take place in the cloud is simply not appropriate for many use cases, creating a sizable opportunity for edge AI hardware to flourish. In this webinar Malik Saadi, Vice President of Strategic Technologies and Jack Vernon, Industry Analyst, will cover the main drivers for shifting AI to the edge, how the technology stack for AI is changing to reflect the shift, and the market opportunity in edge AI.
   
   WHICH QUESTIONS WILL BE ADDRESSED:
   

   • What are the most successful AI frameworks?
   • What is the difference between the frameworks, and why have some been more successful?
   • What direction should frameworks commercial supporters take frameworks in?
   • What is the market opportunity for AI at the edge?
   • What direction should frameworks ecosystem leaders progress forward in?

   HOW TO REGISTER:Click here to register or visit https://www.abiresearch.com/webinars/market-forces-driving-edge-ai-enabling-technologies-value-proposition-and-key-use-cases/
   
   WHAT ELSE?ABI Research's transformative technologies Webinar series is complimentary to attend. All attendees receive a PDF of the presentation
   

   jfieb, 30 minutes agoEditReport

   #1Reply
2. 

   jfiebWell-Known Member

   
   

   the Cliff notes summary of his intro It was scenario 3- Training and inference BOTH at the edge. Where will that be the model?
   
   Mission critical stuff in real time. No connectivity wanted or its too risky.
   
   slide 7 Industrial AI. Smart manufacturing moves from 2% to 10%. Only 25% of Industrial will be based in the cloud by 2023.
   
   ANy BIG themes?
   
   Inference moves always to the end device- Machine vision its real time on the end node.
   
   
   
   Training? It will be on premise server mostly and that will NOT change.
   

   jfieb, 22 minutes agoEditDeleteReport

   #2Reply
3. 

   jfiebWell-Known Member

   
   

   On slide 5
   
   there are the names for edge inference. Only 7 companies.
   
   Intel, Qcom, Nvidia, Movidius, Mobil eye, Ceva...and QUIK.
   
   Now since we paid ABI for their overview, maybe they put us on the slide for that reason.
   
   
   One common refrain that is heard is, The trend is your friend.
   
   When it come to the QuikAI initiative consider that the movement of Inference to the end node will be gradual, but it will NOT stop.
   End node intelligence?
   
   It WILL increase the value of QUIK IP.
   

   jfieb, 16 minutes agoEditDeleteReport

   #3Reply
4. 

   jfiebWell-Known Member

   
   

   Snips from Malik Saadi
   
   Edge AI inference will grow from just 6% in 2017 to 43% in 2023, announced ABI .... by ABIResearch's Vice President of Strategic Technologies Malik Saadi and
   
   
   And more specifically on the edge it moves further out on the edge. On premises servers, to gateways, to the end node. From the edge where INTC server are strong to the end node where QUIK hopes to be a significant player?
   
   ABI just finished webinar....
   
   
   WHAT:
   45-Minute Webinar: Market Forces Driving Edge AI: Enabling Technologies, Value Proposition, and Key Use Cases
   
   WHEN:
   Date: July 11, 2018 (Wednesday); Time: 2 p.m. U.S. Eastern Time
   Duration: 45 minutes, including question-and-answer session
   
   WHO:
   Presented by ABI Research’s Vice President of Strategic Technologies Malik Saadi and Industry Analyst Jack Vernon
   
   WHY:
   AI is going to see a dramatic growth in adoption in many verticals. However, the currently popular model of having AI inference and training take place in the cloud is simply not appropriate for many use cases, creating a sizable opportunity for edge AI hardware to flourish. In this webinar Malik Saadi, Vice President of Strategic Technologies and Jack Vernon, Industry Analyst, will cover the main drivers for shifting AI to the edge, how the technology stack for AI is changing to reflect the shift, and the market opportunity in edge AI.
   
   
   For the casual reader,
   
   This shift is good for partial owners of the QUIK biz. The QuikAI ecosystem is ready in plenty of time to help the shift from the cloud to the edge to the end node. As this shift occurs the value of QUIK IP moves up in step. As the FPGA/ neuromorphic
   battle of mind share goes on.
   
   Consider this; A LOT of the IoT is Vision. Vision and Neuromorphic are really really good when paired.
   
   When does the payoff begin for us?
   
   My own subjective probabilities have shifted. Somewhere one event will help crystalize a move in the valuation. Something that mkes it crystal clear.
   
   In the meantime- a lot more to track along with and that is FUN.