Sumit Gupta at AI Frontiers : AI for Enterprise

AI Frontiers
AI FrontiersAI Frontiers
Sumit Gupta
VP, AI, Machine Learning & HPC
IBM Cognitive Systems
Twitter: @SumitGup
November 2018
AI for Enterprise
How to use AI-based Vision
Transportation &
Industrial IoT
• Computer vision for
self-driving vehicles
• Industrial / Inventory
Inspection
• Predictive
Maintenance
Retailers
• Recommendation
engines using POS
data, E-tail image
analytics
• Computer vision for
shopping carts,
manufacturing
• Customer Insights
Customer Service
• Understand speech,
language, Q&A,
enable smarter search
• Sentiment & Tone
Analysis
Financial Services
• Fraud detection,
Credit Risk Analysis,
Customer cross-sell
• Predict end of day
deposit levels required
• Vision based: ID,
Fraud, Insurance
claims
AI Enterprise Use Cases
2
$
COMMUNICATIONS FINANCIAL SERVICES RESEARCHCONSUMER GOODSAUTOMOTIVE
Location-based
advertising
Risk analysis
Fraud detection
Physics ModelingSentiment analysisADAS, Maintenance
MEDIA/ENTERTAINLIFE SCIENCES CUSTOMER SERVICE HEALTH CAREMANUFACTURING
Sequence Analysis,
Radiology
Chatbots, Helpdesk
Automated Expenses
Patient sensors,
monitoring, EHRs
Advertising
effectiveness
Line inspection,
Defect analysis
RETAIL UTILITIES LAW & DEFENSETRANSPORTATIONOIL & GAS
Recommendation Engines,
Precision Marketing
Smart Meter analysis,
Capacity planning
Threat analysis –
social media monitoring
Optimal traffic flows,
Route planning
Exploration,
sensor analysis
4
PowerAI
Open-Source Based
Enterprise AI Platform
Open Source Frameworks:
Supported Distribution
Developer Ease-of-Use Tools
Faster Training Times via
HW & SW Performance Optimizations
Integrated & Supported AI Platform
3-4x Speedup for AI Training
Ease of Use Tools for Data Scientists
GPU-Accelerated
Power Servers
Storage
Caffe
5
2011 2016Humans
26% Errors
Machine Learning Based
3% Errors
Deep Learning Based
5% Error
6
7
PowerAI Vision: ”Point-and-Click” AI for Images & Video
8
Label Image or
Video Data
Auto-Train AI Model Package & Deploy
AI Model
AI Vision to Reduce Theft in Retail
Scan Avoidance Checking
Scan avoidance in
cashier line. Video
action detection will
detect and identify the
incidence and record.
Trolley Monitoring and Item Tracking
Detect NOT
empty trolley or
basket when
going through
cashier line
Customers
getting through
cashier line
without paying or
when the cash
counter is closed
Hot-area & Cashier
Lane Monitoring
9
$14 billion lost annually by Sweethearting: Theft by employees at cash register, by
giving away merchandise to a "sweetheart" customer (friend, family, fellow employee)
Pick up Scan Put Down
Action
recognition
Object
Detection
Object
Tracking
Object
Counting
Point-of-
Sale Scan
Anomaly
Detection
Send Alert
10
11
12
Personalized Service Theft Detection & Traffic Flow
Vision-Based CheckoutWarehouse Automation Inventory Check
Automated Delivery
13
AI-based Transformation of Asset Monitoring & Management
IBM PowerAI Vision: ”Point-and-Click” AI for Images & Video
14
Label Image or
Video Data
Auto-Train AI Model Package & Deploy
AI Model
LABEL  TRAIN  DEPLOY
Broken conductors
Broken Bonds
Broken Glass Insulators Data centers
UAS
AI glasses for VR
Classification of damaged assets
15
Training
Broken Porcelain insulator: 0.88
Damaged conductor: 0.92
Broken Bond: 0.87
Inference
Visual Inspection
for Manufacturing
• Automotive
• Aerospace & Defense
• Chemicals & Petroleum
• CPG
• Electronics
• Energy & Utilities
• Industrial products
• Life Sciences
• Maintenance
Get Started Today with
Machine & Deep Learning
17
Build a Data Science Team
Your Developers Can Learn
http://cognitiveclass.ai
Identify a Low Hanging Use Case
Figure Out Data Strategy
Consider Pre-Built AI APIs
Hire Consulting Services
Get Started Today at
www.ibm.biz/poweraideveloper
1 of 17

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Sumit Gupta at AI Frontiers : AI for Enterprise

  • 1. Sumit Gupta VP, AI, Machine Learning & HPC IBM Cognitive Systems Twitter: @SumitGup November 2018 AI for Enterprise How to use AI-based Vision
  • 2. Transportation & Industrial IoT • Computer vision for self-driving vehicles • Industrial / Inventory Inspection • Predictive Maintenance Retailers • Recommendation engines using POS data, E-tail image analytics • Computer vision for shopping carts, manufacturing • Customer Insights Customer Service • Understand speech, language, Q&A, enable smarter search • Sentiment & Tone Analysis Financial Services • Fraud detection, Credit Risk Analysis, Customer cross-sell • Predict end of day deposit levels required • Vision based: ID, Fraud, Insurance claims AI Enterprise Use Cases 2
  • 3. $ COMMUNICATIONS FINANCIAL SERVICES RESEARCHCONSUMER GOODSAUTOMOTIVE Location-based advertising Risk analysis Fraud detection Physics ModelingSentiment analysisADAS, Maintenance MEDIA/ENTERTAINLIFE SCIENCES CUSTOMER SERVICE HEALTH CAREMANUFACTURING Sequence Analysis, Radiology Chatbots, Helpdesk Automated Expenses Patient sensors, monitoring, EHRs Advertising effectiveness Line inspection, Defect analysis RETAIL UTILITIES LAW & DEFENSETRANSPORTATIONOIL & GAS Recommendation Engines, Precision Marketing Smart Meter analysis, Capacity planning Threat analysis – social media monitoring Optimal traffic flows, Route planning Exploration, sensor analysis
  • 4. 4 PowerAI Open-Source Based Enterprise AI Platform Open Source Frameworks: Supported Distribution Developer Ease-of-Use Tools Faster Training Times via HW & SW Performance Optimizations Integrated & Supported AI Platform 3-4x Speedup for AI Training Ease of Use Tools for Data Scientists GPU-Accelerated Power Servers Storage Caffe
  • 5. 5 2011 2016Humans 26% Errors Machine Learning Based 3% Errors Deep Learning Based 5% Error
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  • 8. PowerAI Vision: ”Point-and-Click” AI for Images & Video 8 Label Image or Video Data Auto-Train AI Model Package & Deploy AI Model
  • 9. AI Vision to Reduce Theft in Retail Scan Avoidance Checking Scan avoidance in cashier line. Video action detection will detect and identify the incidence and record. Trolley Monitoring and Item Tracking Detect NOT empty trolley or basket when going through cashier line Customers getting through cashier line without paying or when the cash counter is closed Hot-area & Cashier Lane Monitoring 9
  • 10. $14 billion lost annually by Sweethearting: Theft by employees at cash register, by giving away merchandise to a "sweetheart" customer (friend, family, fellow employee) Pick up Scan Put Down Action recognition Object Detection Object Tracking Object Counting Point-of- Sale Scan Anomaly Detection Send Alert 10
  • 11. 11
  • 12. 12 Personalized Service Theft Detection & Traffic Flow Vision-Based CheckoutWarehouse Automation Inventory Check Automated Delivery
  • 13. 13 AI-based Transformation of Asset Monitoring & Management
  • 14. IBM PowerAI Vision: ”Point-and-Click” AI for Images & Video 14 Label Image or Video Data Auto-Train AI Model Package & Deploy AI Model LABEL  TRAIN  DEPLOY Broken conductors Broken Bonds Broken Glass Insulators Data centers UAS AI glasses for VR
  • 15. Classification of damaged assets 15 Training Broken Porcelain insulator: 0.88 Damaged conductor: 0.92 Broken Bond: 0.87 Inference
  • 16. Visual Inspection for Manufacturing • Automotive • Aerospace & Defense • Chemicals & Petroleum • CPG • Electronics • Energy & Utilities • Industrial products • Life Sciences • Maintenance
  • 17. Get Started Today with Machine & Deep Learning 17 Build a Data Science Team Your Developers Can Learn http://cognitiveclass.ai Identify a Low Hanging Use Case Figure Out Data Strategy Consider Pre-Built AI APIs Hire Consulting Services Get Started Today at www.ibm.biz/poweraideveloper

Editor's Notes

  1. Big Data is Transforming the World Big Data is one of the most talked about topics in industry, research and government It is becoming an integral part of enterprise IT ecosystem across major verticals including agriculture, education, energy, entertainment, healthcare, insurance, manufacturing and finance Significant business opportunity for Cisco partners and customers
  2. The PowerAI strategy is we create an enterprise software distribution of the open source machine learning / deep learning frameworks and add value around them. We add ease of use tools on top of the frameworks and performance enhancements underneath them. Since training or teaching an AI model or brain to recognize an image or a pattern, takes hours and sometimes days to run, our 3-4x performance benefits means that we can reduce this training time down from hours to minutes. The ease of tools we add are things that help data scientists do auto-tuning of AI models, and enable them to run larger AI models. We also integrate with IBM Data Science Experience (DSX), which is leading data scientist development tool, that gives us data management & model management. For performance, we are releasing a new Distributed Deep Learning (DDL) library that scales out deep learning to 100s of Power servers with GPUs. Currently, the open source AI frameworks work best only on a single server, so this is new technology that came out of IBM Research that will enable training times to go down from weeks and days to hours. Massive improvement in data scientist productivity
  3. Another software in our portfolio is PowerAI Vision, that is a complete auto-deep learning workflow for videos and images (vision) PowerAI Vision is a GUI based AI software You start by using the GUI to label your images or video frames Then click on “Build Model” and the software automatically picks a deep learning (DL) model, trains it, shows you the progress via graphs, etc It automatically picks the hyper-parameters for the DL models Once the model is trained, PowerAI Vision produces a REST API, or can also target embedded GPUs or FPGAs (for drones, cars, etc)
  4. PowerAI Vision automatically builds a trained deep learning AI model given a labelled video or image data set. PowerAI Vision also generates a REST API for inference that can run on CPUs or GPUs or FPGAs, and can also map to several embedded devices, including FPGAs
  5. IBM PowerAI Vision provides a clicker tool for Subject matter experts to bring data and train AI models for classification. In this slide, you see the ability to label images and train models to classify various assets of a Power tower. You also notice the products ability to be trained for classifying damaged assets.