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Deep Learning In Enterprise

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Gain an introduction to SAP Leonardo machine learning foundation and deep learning applications in enterprise with Nazanin Zaker.

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Deep Learning In Enterprise

  1. 1. EXTERNAL Deep Learning in Enterprise Nazanin Zaker October 2017
  2. 2. EXTERNAL Ø Introduction to machine learning and deep learning Ø SAP Leonardo machine learning foundation Ø Deep learning applications in enterprise • Image classification • Face detection • Sentiment analysis • Brand application • Customized business solution for Swarovski Ø Best Resources & Practices Outline:
  3. 3. 3EXTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ Universal Presence of Machine Learning Translate squeezes deep learning onto a phone taken from Google research blog Self-driving cars provide an easier and safer way for everyone to get around.
  4. 4. 4EXTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ Deep Learning: Breaking all Benchmarks ImageNet performance Human Performance 95 75 90 85 80 2012 2013 2014 2015 Accuracy (%) year A dog with ball in its mouth A skier is jumping over snow covered hill Group of seven people Late 19th century architecture Automated Labeling 100 Computer vision is surpassing human abilities
  5. 5. 5EXTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ Deep Learning Convolutional Neural Networks (CNN) Recurrent Neural Networks (RNN) AI Machine Learning Representation Learning Deep Learning Shallow autoencoders Logistic Regression Knowledge Bases
  6. 6. 6EXTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ Why Deep Learning Works? Learn features and classifier together Traditional Recognition: Shallow Architecture Image/Video pixels Hand designed feature extraction Trainable Classifier Object Class Deep Learning: Deep Architecture What about learning the features? LeNet-5 Architecture 1998
  7. 7. 7EXTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ Convolutional Neural Networks (CNN) Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner, Gradient-based learning applied to document recognition, Proceedings of the IEEE 86(11): 2278–2324, 1998. (LeNet-5 Architecture) Input Image Convolution (Learned) Non- linearity Spatial Pooling Feature Maps Feed Forward Feature Extraction Back-propagation
  8. 8. 8EXTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP Leonardo Digital Innovation System Design Thinking Services SAP Leonardo Technologies SAP Cloud Platform Microservices Open APIs Flexible Runtimes Integration Multi-Cloud Infrastructure SAP Data Center Microsoft Azure Machine Learning Blockchain Big Data Internet of Things Analytics Data Intelligence Solution Ideation & Vision Rapid Prototyping Business Case Development Technology Blueprint
  9. 9. 9EXTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ Machine learning is the reality behind artificial intelligence § Big Data (for example, business networks, cloud applications, the Internet of Things, and SAP S/4HANA) § Massive improvements in hardware (graphics processing unit [GPU] and multicore) § Deep learning algorithms § Computers learn from data without being explicitly programmed. § Machines can see, read, listen, understand, and interact. What is machine learning? Why now?
  10. 10. 10EXTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ 76% of the world’s transaction revenue 25 industries 12 lines of business The world’s largest business network Data Science Platform Intelligent Services Intelligent Apps Conversational Interfaces Machine Learning SAP Leonardo Business Outcomes Increase revenue Re-imagine processes Quality time at work Customer satisfaction Enabling innovations SAP Leonardo enables the intelligent enterprise
  11. 11. 11EXTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP Leonardo Machine Learning Foundation Enabling customers and partners to build the intelligent enterprise Applications Ready to use Training Inference SAP Leonardo Machine Learning Foundation Ready to use Services Bring your own Model Customize Model Create Training SAP Cloud Platform
  12. 12. 12EXTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP Leonardo Machine Learning: Portfolio of Capabilities Data Science Platform & Tools Developer (Citizen)DataScientist Text/ Document Services (e.g. Sentiment Analysis) Image/Video Services (e.g. Image Classification) Speech/ Audio Services (e.g. Voice Recognition) Structured Data Services (e.g. Time Series Analysis) Business Services (e.g. Service Ticket Intelligence) Graph Services (e.g. Link Recommender) Predictive Services (e.g. Forecasting) Intelligent Services Data Exploration Data Integration Data Preparation End to End Automation In-Application Deployment Lifecycle Management ML Model Creation Model Storage Production Readiness TensorFlow Integration Integration of Machine Learning into existing applications (e.g. SAP Analytics Cloud, SAP Business Integrity Screening, SAP Cash Application) Standalone Machine Learning Applications (e.g. SAP Brand Impact) Intelligent Apps Conversational Interfaces (SAP CoPilot) SAP Cloud Platform SAP HANA Platform End-User
  13. 13. 13EXTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ Ready-to-use Services: Easy Consumption Calling REST APIS through the API Business Hub
  14. 14. 14EXTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ Face API : WHY?
  15. 15. 15EXTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ Services Driven By Deep Learning In SAP Leonardo Machine Learning Face Detection Demo
  16. 16. 16EXTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ Face API : HOW? Caliberation Net Convolution Net * A Convolutional Neural Network Cascade for Face Detection, CVPR 2015
  17. 17. 17EXTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ Text API : WHY?
  18. 18. 18EXTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ Services Driven By Deep Learning In SAP Leonardo Machine Learning Sentiment Analysis
  19. 19. 19EXTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ Text API : HOW? * Webis: An Ensemble for Twitter Sentiment Detection, SemEval 2015 NRC Canada SemEval 2013 1st position TeamX SemEval 2014 1st position KLUE SemEval 2013 5th position GU-MLT-LT SemEval 2013 2nd position Compute average of confidence score for positive / negative / neutral from each method and indicate dominant sentiment as objective sentiment of the message Predicted Sentiment TWITTER MESSAGE
  20. 20. 20EXTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ Text API : HOW? * Convolutional Neural Networks for Sentence Classification, EMNLP 2015
  21. 21. 21EXTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP Brand Impact Monitor Brand Assets and Exposure in Video Manual processing (watch TV) Slow: > 6 weeks after event Sampling and Extrapolation High cost Automatic Fast: real-time analysis of full HD videos Enterprise-grade precision Unprecedented scalability NOW
  22. 22. 22EXTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ
  23. 23. 23EXTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ How Machine Learning helped Swarovski to fix broken products Business challenge: repair process is cumbersome SAP Solution: SAP Leonardo Machine Learning • >100 service tickets and images of broken products each day • manual identification against a catalog with >40.000 products • Using SAP Leonardo’s computer vision technology • Algorithms mimic human vision to understand semantic concepts of images • Comparison of broken product images with product catalog in seconds
  24. 24. 24EXTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP Leonardo Machine Learning Foundation Broken product similarity search demo
  25. 25. 25EXTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ Best Resources, & Practices Websites à For more information check cloudplatform.sap.com or sap.com/ml Education à Participate in the openSAP course Enterprise Machine Learning in a Nutshell (overview course) Early adoption and co-innovation à Be an early adopter and co-innovate with us for next-wave cases
  26. 26. 26EXTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ Best Resources, & Practices (Cont.) • For whom that are interested to learn more, and self study: • Coursera • Udacity • http://machinelearningmastery.com • http://deeplearning.net • Join AI conferences: • CVPR, ICML, AAAI, NIPS, … • Join WiBD meetups • Next Networking event @ Nutanix, “Empowering Big Data in Hybrid Cloud” on Nov 2nd.
  27. 27. 27EXTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ Nazanin Zaker SAP Innovation Center Network nazanin.zaker.habibabadi@sap.com Thank you.

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