AI Enterprise Use Cases and Vision Applications
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This document discusses how AI and computer vision can be used across various industries. It provides examples of using computer vision for transportation applications like self-driving vehicles, industrial inspection, and predictive maintenance. Computer vision can also be used in retail for tasks like recommendation engines, inventory management, and analyzing shopping patterns. Other applications discussed include using AI for customer service, fraud detection, healthcare, manufacturing, and monitoring assets. The document promotes IBM's PowerAI platform for building and deploying AI models using open source frameworks and tools.
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AI Enterprise Use Cases and Vision Applications
- 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
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- 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
Hinweis der Redaktion
- 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
- 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
- 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)
- 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
- 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.