THE EDGE AI FABRIC COMPANY J U L Y 1 6 , 2 0 1 8 Poi ntR Data I - - PowerPoint PPT Presentation

THE EDGE AI FABRIC COMPANY

J U L Y 1 6 , 2 0 1 8 Poi ntR Data I nc. 181 2nd St. San Franci sco, CA 94105

POINTR EDGE AI FABRIC FOR APPLIED AI

AI is a competitive differentiator for enterprise to drive productivity gains in core businesses The main catalyst for AI adoption is harvesting unstructured data sources to provided real time business insights Velocity and volume of the data produced is too large to process in the cloud PointR EDGE AI FABRIC Connects cameras and sensors into an inference fabric

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Edge AI fabric integrates sensors and cameras in a mesh network providing real-time business intelligence at scale

• Moves inference to end points transmitting
• nly meta-data to the cloud

Minimizes cables, bandwidth choke points, and expensive compute power consumption making it affordable and scalable The software virtualizes hardware variability and provides self-provisioning and healing

RETAIL USE CASE

In-store Automation – Amazon GO Example Shoppers “grab-and-go” removes cashier choke points Integration with e-commerce Shelf inventory, price check and planogram compliance Shrinkage Surveillance Shopper Marketing

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THE APPLIANCE

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THE POINTR DISRUPTION

Specs 12 AI Accelerators Cluster Processing 120 Watts Peak 24 Teraflops @16-bit PCIe Fabric @10Gbps DMA ops Equals 21x Xeon 2790v4 CPU Dell r730 servers 1/100th power 1/20th price That’s 21 Dell servers!

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HOW DOES IT WORK?

Step 3 Dashboard alerts manager

• f what the camera sees

In the Field Data Center

Step 1 TEACH by feeding data Step 4 Product Updates from stores require re-training Step 2 USE the Models trained by PowerAI PointR Field Appliance Cameras Instant Real Time Response Information changes fed back to data center AC922 NEWELL Data Collection: millions of images for thousands of labels Daily Weekly Updates 1-click publish 1 2 3 4

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Retail

GrabandGo Loss Prevention Out-of-Stock

Transportation

Railroad Maintenance Fleet Safety with in-cab behavior

Manufacturing

Inspection Quality Control Precision Alignment

Healthcare

Medical Imaging Pathology and Radiology

Surveillance

City Traffic Monitoring Threat Matrix

ENTERPRISE VERTICALS

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POWERAI VISION INTEGRATION WITH POINTR

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New AI Model

PowerAI Vision

Label Train Deploy

PointR Data

GUI AI Models Event Detection

Live Video

New Video Training Data

AC 922 Newell Power Server Edge Inference 2 0 1 8 T h i s M a t e r i a l C o n t a i n s P o i n t R D a t a C o n f i d e n t i a l I n f o r m a t i o n

POINTR POWERAI BUNDLES

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RETAIL USE CASE

In-store Automation – Amazon GO Example Shoppers “grab-and-go” removes cashier choke points Integration with e-commerce Shelf inventory, price check and planogram compliance Shrinkage Surveillance Shopper Marketing

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TRANSPORTATION USE CASE

Multi Billion Dollar Market (Railroads)

Inspect Pantographs for French railroad Maintenance 60 annual failures in Paris cost millions in euro’s and incalculable loss in public confidence affecting SNCF political reputation Inspect tracks for BNSF and Union Pacific Yard surveillance, connected trains, cargo liability inspections Autonomous Railway

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MANUFACTURING USE CASE

Just one minute of downtime in an automotive factory can cost as much as $20,000 on high- profit vehicles Perform real-time AI from cameras attached to robots Predictive Maintenance Inspect products coming

• ff the assembly line

for compliance and quality Check for cap closures, defects, position, and labels Quality Control Poorly trained workers can be augmented with machine guidance Precision Alignment Market-and-Market report suggests that the overall machine vision market could be worth up to $14.43 billion by 2022 for manufacturing automobiles 3D Vision Inspection

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CALL TO ACTION

The Problem Peak awareness but few implementations Scarce data science talent ($1M salary) Ongoing consulting resources are very expensive ($10M+) The Solution Pre-baked Appliance for Deep Learning Rapid onboard customer use case Today dev that takes 9 months and millions of dollars we shrink to 3-6 weeks Proof-of-Concept Fixed-time/Fixed Bid for one customer use case Expand use cases and footprint with dedicated team

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THANK YOU

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