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SAP Machine Learning Presentation

Philippe Nemery, profile picture
Philippe Nemery

The document discusses the integration of machine learning in SAP analytics, highlighting its role in enhancing business processes, enabling intelligent applications, and improving customer experiences. It emphasizes the need for robust training data and decision-making expertise to leverage machine learning effectively across various sectors such as manufacturing, marketing, and customer service. Additionally, it presents examples of applications like predictive analytics and automated customer service solutions that can transform enterprise operations.

Data & Analytics
Related topics:
Advanced Analytics
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Philippe Nemery, SAP July 2017 SAP Machine Learning @nemeryp
• Analytics are taking the World Over: some daily life examples of Machine Learning • Machine Learning at SAP
Analytics are Taking Over The World
4© 2017 SAP SE or an SAP affiliate company. All rights reserved. Technology trends: Computer vision Computer vision is surpassing human abilities A dog with ball in its mouth A skier is jumping over snow covered hill Group of seven people Late 19th-century architecture Human performance 95 75 90 85 80 2012 2013 2014 2015 year 100 ImageNet performanceAutomated captioning Accuracy in %
6© 2017 SAP SE or an SAP affiliate company. All rights reserved.
© 2014 SAP AG. All rights reserved. 8
© 2014 SAP AG. All rights reserved. 10
11© 2017 SAP SE or an SAP affiliate company. All rights reserved. Computers Communicate ;-) Voice transcription Lip reading Lying
12© 2017 SAP SE or an SAP affiliate company. All rights reserved. Computers Advise ;-)
13© 2017 SAP SE or an SAP affiliate company. All rights reserved. Computers Recommend ;-) « Maybe we’ll have a robot on the bench who will make decisions and the computer will analyse exactly what decisions he makes during the games ». Arsène Wenger
14© 2017 SAP SE or an SAP affiliate company. All rights reserved. Computers Recommend ;-)
15© 2017 SAP SE or an SAP affiliate company. All rights reserved. SAP Match Insights !
16© 2017 SAP SE or an SAP affiliate company. All rights reserved. “WHILE A LOT OF COMPANIES ARE DOING DIGITAL, VERY FEW ARE DOING IT WELL” Professor George Westerman, MIT THE ONES THAT SUCCEED FOCUS MUCH MORE ON TRANSFORMATION THAN THEY DO ON TECHNOLOGY” SMART
17© 2017 SAP SE or an SAP affiliate company. All rights reserved. SAP Analytics Enables the Intelligent Enterprise
18© 2017 SAP SE or an SAP affiliate company. All rights reserved. Integration Mobile Collaboration Microservices Machine Learning Real-time Analytics UX IoT Artificial Intelligence APIs connecting People, Things and BusinessesIntelligently Smart Digital Business
21© 2017 SAP SE or an SAP affiliate company. All rights reserved. Situational Awareness What do I need to do right now? Prediction What can I expect to happen? Suggestion What do you recommend? Notification What do I need to know? Perception What’s happening now? Intelligent Applications Automation What should I always do? Prevention What can I avoid? Graphic source: Ray Wang, Constellation Research Requires: • Large amounts of robust training data • Decision process expertise • Embedding in process flows
22© 2017 SAP SE or an SAP affiliate company. All rights reserved. More accurate predictions of heart failure – preventative maintenance for people! Digital Hearts!
23© 2017 SAP SE or an SAP affiliate company. All rights reserved. From Things to Outcomes Connected Manufacturing Vehicle InsightsPredictive Maintenance …Service Technicians Make sense of IoT device and sensor data, improve digital operations management, and digitize your business, manufacturing, and logistics processes.
24© 2017 SAP SE or an SAP affiliate company. All rights reserved. Running Gone Digital “The fitness brands of the future will not just make physical products, but will be embedded in the consumer journey in ways that will help keep people motivated and maximize their enjoyment of sport. By putting together a digital fitness platform and world class physical products, we can build a new kind of fitness brand”
26© 2017 SAP SE or an SAP affiliate company. All rights reserved. Predictive Analytics: • Better personalization across different channels • Better targeting and marketing execution • Real-time recommendations SAP Hybris
27© 2017 SAP SE or an SAP affiliate company. All rights reserved. RESTART SERVICE RECEIVED OFFER CONTACT CENTER RETAIL STORE ACTION ADVOCACY CONSIDERATION REFER FRIENDS EMAIL SOCIAL WORD OF MOUTH CHANGE ADDRESS POST REVIEW MAKE PAYMENT JOIN GROUPS TRACK ORDER RECEIVE PACKAGE SET UP PHONE MISSING ITEM NETWORK ISSUE FIX ISSUE BILLING ISSUE LOYALTY BONUS SOCIAL CONTACT CENTER SUPPORT PORTAL CONTACT CENTER SOCIAL BRANDED COMMUNITY CONTACT CENTER USE ADVOCACY USE SUPPORT PORTAL WEB SHOP RETAIL STORE WEB SHOP Optimizing the end-to-end customer journey DISCOVER NEED RECEIVE OFFER SHORTLIST BUY WEB TV DIGITAL ADS PRINT SOCIAL SEARCH KW/ADS REVIEWS RETAIL STORE CONTACT CENTER EMAIL AWARENESS INTEREST CONSIDERATION ACTION WEB SITE WORD OF MOUTH WEB SHOP RESEARCH WEB DISCOVERY
28© 2017 SAP SE or an SAP affiliate company. All rights reserved. Intelligence for Business
29© 2017 SAP SE or an SAP affiliate company. All rights reserved.
30© 2017 SAP SE or an SAP affiliate company. All rights reserved. Internal Data Slow and Steady Data Transactional, Changeable Data POS Data Deliveries Store Attributes Store Org Structure Store Placement Store Staff Store Visibility, Signage Competitor Store Attributes Census, ONS Data POI Data GIS Competitor and Cannibalisation Footfall Weather Events Real Estate Choosing a new store location External Data
31© 2017 SAP SE or an SAP affiliate company. All rights reserved. What food to make, when? Knowledge Check Past Sales Check Forecast Check Must Stock Run and Check Range Tool Set 60%/70% Fixed First Production Hot Food Continuous Replenishment All Other Food Monitor for 2nd and 3rd Variable Productions
32© 2017 SAP SE or an SAP affiliate company. All rights reserved. Letting algorithms make the decisions Automated predictive models that automatically adapt to the changing circumstances of every store Trading Patterns Core Range Special Events Weather
33© 2017 SAP SE or an SAP affiliate company. All rights reserved. Intelligent Business: the Digital Board Room Business Intelligence – Planning – Predictive Analytics
• Some Daily Life Examples of Machine Learning • Machine Learning at SAP
35© 2017 SAP SE or an SAP affiliate company. All rights reserved. Timo Elliott, SAP Internal Artificial Intelligence at SAP We integrate learning from datainto SAP applications and platforms to help businesses grow, optimize processes, assist employees, and make customers happy.
36© 2017 SAP SE or an SAP affiliate company. All rights reserved. SAP Leonardo Machine Learning enables the intelligent enterprise 76% of the world’s transaction revenue 25 industries 12 lines of business The world’s largest business network Lifecycle management Applications Business services Functional services SAP Cloud Platform and SAP HANA SAP Leonardo Machine Learning Re-imagine business processes with digital intelligence Increased customer satisfaction with superior service Increase revenue with superior sales targeting and execution Improving quality time at work for employees Enabling product, process & business model innovations Business Outcomes
37© 2017 SAP SE or an SAP affiliate company. All rights reserved. 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?
38© 2017 SAP SE or an SAP affiliate company. All rights reserved. How enterprise data is transformed into business value From data to insights Input Machine learning Output Train model Prepare data Apply model Capture feedback Text Image Video Speech … and more Services (such as invoice processing, profile matching) …and more Applications (such as cash application)
39© 2017 SAP SE or an SAP affiliate company. All rights reserved. SAP’s vision for enterprise machine learning enabling the intelligent enterprise With Analytics SAP Cloud Platform and SAP HANA Do the impossibleAutomate knowledge work  Image-based SAP Ariba commerce solutions  Contextual Concur travel concierge  Self-driving customer service  Conversational sales bots  Customer retention insights  Vision-enabled manufacturing  Contextual logistics  Video-aware marketing  Visual store execution  Drone and satellite-based asset management  Transformational HR services  Lights-out finance operations
40© 2017 SAP SE or an SAP affiliate company. All rights reserved. Item Recognition Swarovski – Item Matching
41© 2017 SAP SE or an SAP affiliate company. All rights reserved. Face Emotion Analysis
© 2016 SAP SE or an SAP affiliate company. All rights reserved. 43
45© 2017 SAP SE or an SAP affiliate company. All rights reserved. Predictive Analytics Predictive Analytics Integrator HCP Predictive Services Business Forecasting Business Optimizations Text Analytics Predictive Modelling Streaming Machine Learning Spatial & Graph Machine Learning Non-expert Machine Learning Predictive Lead and Opportunity Scoring Predictive Forecasting Imaging Intelligence for Retail Execution (Smart Store) Solution Recommender Self-Service Conversational Interface Predictive Machine Maintenance Dynamic pricing Product Classification Suggestions Brand Monitoring Best Contact Time Machine Learning for vehicle insights IoT Machine Learning Services Intelligent Fraud Detection & Management Big Pool of Machine Learning Use Cases & Features We identified many relevant applications and product extensions Social Media Customer Service Invoice to Record Intercompany Reconciliation Receivables Intelligence Payables Intelligence Machine Learning for Intelligent Services Career Path Recommender Workforce Planning Recommender Marketing Efficiency Service Ticket Intelligence From Service to Sales Intelligent Self Service Bot Social Media Signal Discovery Customer Retention Insights Deal Scoring Price optimization Lead recommender Sales assistant app Product Master Data Matching Intelligent Financing for Ariba Pay Intelligent Financing for Ariba Pay Guided Discounting Payment Risk Job Matching Learning Recommendations Job Posting Sentiment Analysis Flight risk (retention risk) analysis Automated product safety classifications Software Security Analysis Automatic Creation of a semantic hierarchy Analyze User interaction
46© 2017 SAP SE or an SAP affiliate company. All rights reserved. Cash Application Service Ticket Intelligence Résumé Matching Brand Intelligence Predictive Analytics Predictive Analytics Integrator HCP Predictive Services Business Forecasting Business Optimizations Text Analytics Predictive Modelling Streaming Machine Learning Spatial & Graph Machine Learning Non-expert Machine Learning Predictive Lead and Opportunity Scoring Predictive Forecasting Imaging Intelligence for Retail Execution (Smart Store) Solution Recommender Self-Service Conversational Interface Predictive Machine Maintenance Dynamic pricing Product Classification Suggestions Brand Monitoring Best Contact Time Machine Learning for vehicle insights IoT Machine Learning Services Intelligent Fraud Detection & Management Customer Retention Insights Big Pool of Machine Learning Use Cases & Features We identified many relevant applications and product extensions Social Media Customer Service Invoice to Record Intercompany Reconciliation Receivables Intelligence Payables Intelligence Machine Learning for Intelligent Services Career Path Recommender Workforce Planning Recommender Marketing Efficiency Service Ticket Intelligence From Service to Sales Intelligent Self Service Bot Social Media Signal Discovery Customer Retention Insights Deal Scoring Price optimization Lead recommender Sales assistant app Product Master Data Matching Intelligent Financing for Ariba Pay Intelligent Financing for Ariba Pay Guided Discounting Payment Risk Job Matching Learning Recommendations Job Posting Sentiment Analysis Flight risk (retention risk) analysis Automated product safety classifications Software Security Analysis Automatic Creation of a semantic hierarchy Analyze User interaction Co-Pilot
47© 2017 SAP SE or an SAP affiliate company. All rights reserved. SAP Leonardo for Cash Application SAP Leonardo for Resume Matching SAP Leonardo for Service Ticket Intelligence SAP Leonardo for Brand Intelligence SAP Leonardo Customer Retention Insights SAP Co-Pilot
48© 2017 SAP SE or an SAP affiliate company. All rights reserved.
50© 2017 SAP SE or an SAP affiliate company. All rights reserved. SAP Leonardo for Brand Impact Reimagine marketing and sponsorship engagements Video Brand logos Exposure metrics for business impact SAP Leonardo for Brand Impact automatically analyzes brand exposure in video and images by leveraging advanced computer vision techniques. It helps media agencies, production companies, and brands to gain accurate, timely insights into sponsoring and advertising ROI. Fast: Near real-time Accurate and scalable to millions of hours Transparent Interactive interface Time-annotated impact indicator API for combining data with CRM, ERP, Web site stats SAP Leonardo
51© 2017 SAP SE or an SAP affiliate company. All rights reserved. SAP Leonardo for Cash Application SAP Leonardo for Resume Matching SAP Leonardo for Service Ticket Intelligence SAP Leonardo for Brand Intelligence SAP Leonardo for Customer Retention Insights SAP Co-Pilot
52© 2017 SAP SE or an SAP affiliate company. All rights reserved. SAP Leonardo for Service Ticketing Accelerate customer service in an omnichannel front office Service tickets Knowledge base articles Classifications Resolutions Routing Improve service response times with automated processing Allows customer service to scale with increased digital interactions Integrated with SAP Hybris Service Cloud for reduced time to value SAP Leonardo for Service Ticketing automatically processes customer enquiries to deliver best-in-class customer service.
53© 2017 SAP SE or an SAP affiliate company. All rights reserved. SAP Leonardo for Service Ticketing Accelerate customer service in an omnichannel front office
54© 2017 SAP SE or an SAP affiliate company. All rights reserved. SAP Leonardo for Cash Application SAP Leonardo for Resume Matching SAP Leonardo for Service Ticket Intelligence SAP Leonardo for Brand Intelligence SAP Leonardo for Customer Retention Insights SAP Co-Pilot
55© 2017 SAP SE or an SAP affiliate company. All rights reserved. SAP ML for Resume Matching Job applicants Best fit for the Job Posting Compare! Who is the Best fit Which is the for your resume Apply Company job postings Amy gets the recommendations of best talents and can compare the candidates matching the job description. June spends less time and gets the best matching job recommendations to apply! Job Matcher Resume Matcher
56© 2017 SAP SE or an SAP affiliate company. All rights reserved.
57© 2017 SAP SE or an SAP affiliate company. All rights reserved. SAP ML for Resume Matching Narrow down the shortlist to find the best candidates Compare and generate best fit score of profile to job and vice versa Parse resumes into structured information Visualize candidate profiles by skills, education, experience, etc. Parse resumes Visualize profiles Match best talent
58© 2017 SAP SE or an SAP affiliate company. All rights reserved. SAP Leonardo for Resume Matching Find the best talent faster with intelligent job matching History Resumes Jobs Best candidates Best jobs Fast-track the screening process to save time and effort Identify the best candidates and reduce false positives Remove personal bias in screen candidates Increase corporate brand leadership SAP Leonardo for Resume Matching automates the screening process by identifying the best candidates or jobs without bias
59© 2017 SAP SE or an SAP affiliate company. All rights reserved. SAP Leonardo for Cash Application SAP Leonardo for Resume Matching SAP Leonardo for Service Ticket Intelligence SAP Leonardo for Brand Intelligence SAP Leonardo for Customer Retention Insights SAP Co-Pilot
60© 2017 SAP SE or an SAP affiliate company. All rights reserved. SAP ML for Customer Retention Insights Manage churn, product performance, fraud, campaigns, and more A Glimpse at the Solution Take proactive actions to prevent customers from churning Build an overview of the customer journey Identify critical events/ churn indicators Incoming dynamic data from various channels Sort, classify & route events Identify customers who are about to churn
61© 2017 SAP SE or an SAP affiliate company. All rights reserved. SAP Leonardo for Customer Retention Insights Build customer loyalty through proactive retention Customer data Digital fingerprints Churn prediction Root causes Automatically classifies and finds patterns Provides understanding of root causes and timely predictions to act Detects at-risk customers SAP Leonardo for Customer Retention Insights identifies leading indicators based on transactional interactions to anticipate customer behavior, such as product cancellations or renewals
62© 2017 SAP SE or an SAP affiliate company. All rights reserved. SAP Leonardo for Cash Application SAP Leonardo for Resume Matching SAP Leonardo for Service Ticket Intelligence SAP Leonardo for Brand Intelligence SAP Leonardo for Customer Retention Insights SAP Co-Pilot
63CUSTOMER© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ Challenges facing accounts receivable (AR) teams in Leonardoring incoming payments Joni Chen AR accountant Lump sum Missing info Discounts Exchange Customer call ??? Payments
64CUSTOMER© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ Challenges facing AR teams in Leonardoring incoming payments Jane, 34 AR Accountant PAYMENTS Invoice Details Payment Invoices Payment £ Invoice € Payment $1,200 Invoice $1,300 PAYMENTS Customer Details Payment number 10003, the payment amount is $2000. I assume this should be for: Invoice F5132 + Invoice F2672 + … = $2000? Hi! We received this payment 10003. Is this meant for these Invoices F5132 + F2672 + … ... ? 2 hours later… calling the customer
65CUSTOMER© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ Comparing approaches to automation Engines preloaded with highly specific process knowledge enable rule-based automation machine learning identifies hidden patterns in knowledge- intensive processes and learns from the data without being explicitly programmed Robotics process automation helps run repetitive, rule- based, and user interface– focused tasks and bridges temporary gaps Rule engines Machine learning Robotic process automation
66© 2017 SAP SE or an SAP affiliate company. All rights reserved. • The historical Leonardoring data of all AR accountants becomes a valuable asset for Machine Learning. • Machine Learning captures this knowledge and uses it for processing new incoming payments automatically. • For payments that cannot be Leonardored automatically due to lower confidence levels, AR accountants can see a list of the best fitting invoices saving time to identify the relevant receivables. SAP ML for Cash Application Automation enables scale PAYMENTS INVOICES
67© 2017 SAP SE or an SAP affiliate company. All rights reserved.
68© 2017 SAP SE or an SAP affiliate company. All rights reserved. SAP Leonardo for Cash Application SAP Leonardo for Resume Matching SAP Leonardo for Service Ticket Intelligence SAP Leonardo for Brand Intelligence SAP Leonardo for Customer Retention Insights SAP Co-Pilot
69© 2017 SAP SE or an SAP affiliate company. All rights reserved. SAP Co-Pilot - One Digital Assistant with One Personality Across All Products & Solutions, Industries and LoBs SAP Co-Pilot The digital assistant for the live enterprise Business context awareness Understanding the business context, and pro-actively suggesting solutions using predictive functionality Conversational (multi-modal) UI Conversational UI using Natural Language Processing functionality with a focus on the next-gen UX to create a human-like experience Cross Applications Allows seamless transition across platforms; start a task on a mobile device and continue later, on a desktop or vice versa Self Learning Using machine learning functionality to gain knowledge based on historic data, experience, and take action in response to new or unforeseen events Simple Access to Enterprise AI Platform Integration to SAP and Non-SAP Solutions Simple access to Natural Language Processing and Machine Learning functionality via APIs
70© 2017 SAP SE or an SAP affiliate company. All rights reserved. SAP Co-Pilot The digital assistant for the live enterprise
71© 2017 SAP SE or an SAP affiliate company. All rights reserved. Cash Application Service Ticket Intelligence Résumé Matching Brand Intelligence Predictive Analytics Predictive Analytics Integrator HCP Predictive Services Business Forecasting Business Optimizations Text Analytics Predictive Modelling Streaming Machine Learning Spatial & Graph Machine Learning Non-expert Machine Learning Predictive Lead and Opportunity Scoring Predictive Forecasting Imaging Intelligence for Retail Execution (Smart Store) Solution Recommender Self-Service Conversational Interface Predictive Machine Maintenance Dynamic pricing Product Classification Suggestions Brand Monitoring Best Contact Time Machine Learning for vehicle insights IoT Machine Learning Services Intelligent Fraud Detection & Management Customer Retention Insights Big Pool of Machine Learning Use Cases & Features We identified many relevant applications and product extensions Social Media Customer Service Invoice to Record Intercompany Reconciliation Receivables Intelligence Payables Intelligence Machine Learning for Intelligent Services Career Path Recommender Workforce Planning Recommender Marketing Efficiency Service Ticket Intelligence From Service to Sales Intelligent Self Service Bot Social Media Signal Discovery Customer Retention Insights Deal Scoring Price optimization Lead recommender Sales assistant app Product Master Data Matching Intelligent Financing for Ariba Pay Intelligent Financing for Ariba Pay Guided Discounting Payment Risk Job Matching Learning Recommendations Job Posting Sentiment Analysis Flight risk (retention risk) analysis Automated product safety classifications Software Security Analysis Automatic Creation of a semantic hierarchy Analyze User interaction
72INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ Machine Learning is embedded across the SAP portfolio Finance Marketing Sales Service Human Resources Procurement Supply Chain Platform Cash Application Accounts Payable Predictive Accounting … …Brand Impact Customer Behavior Segmentation … Service Ticketing Customer Retention Sales Forecasting CoPilot … … Goods & Services Classifier … Solution Recommender Profile Completeness …Resume Matching Learning Recommender openSAP Translation Financial Advising Forecasting (IBP) Stock in Transit Available now Wave 2 Wave 3 Machine Learning Foundation …Model Training Infrastructure
73INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ Leonoardo foundation Applications Common application architecture Including the first wave of intelligent applications Training, Lifecycle management API, bindings, wrappers Business services … Training infrastructure Operationalization Data preparation Algorithm libraries Resource manager User Data Scientist Developer Functional services … Tabular Image Service ticketing Resume matching Job matching Audio, video Text SAP Leonardo
74INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP Leonardo ML Solution Portfolio Including the first wave of intelligent applications • SAP Clea for Service Ticket Intelligence • SAP Clea for Customer Retention Insights • SAP Clea for Brand Intelligence • SAP Clea for Resume Matching • SAP Clea for Cash Application • S/4HANA Procurement - Predict Contract Consumption • SAP Fraud ManagementUsers Analyst Developer Applications N N N N N New Intelligent applicationN SAP BusinessObjects Cloud Instant, contextual predictive insights, such as what-if analyses, forecasts, predictive scoring Intelligent Business Services Intelligent Business Services which perform specialized tasks such as CV Matching … Intelligent Functional Services Technical ML Services including Cognitive Services, Key Influencers, Outliers, Scoring* Predictive Services Key Influencers, forecasting, Outliers, Scoring, Recommendation, What-If, Dataset services SAP BusinessObjects Predictive Analytics Analyst Full suite to manage entire predictive analytics lifecycle from data preparation, training, deployment and model management Developer SAP HANA Embedded capabilities for in-memory predictive analytics and machine learning, forecasting, optimization and text analytics. SAP Cloud Platform SAP HANA Platform N N N SAP Leonardo
75INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP Leonardo foundation services portfolio Tabular Image Text Audio/ Video General availability*  Time series change point detection  Time series forecasting (AA algorithm)  Clustering  Key influencer analysis  Outlier detection  Recommendation  What-if analysis  Image classification  Image feature extraction  Earth observation analysis  Topic detection/keyword extraction Alpha  Time series forecasting (R algorithms)  Similarity scoring  Product image classification  Machine translation  Document feature extraction  Language detection  Product text classification Road map  Time-to-failure forecasting  Association rule learning  Image segmentation  Face detection  Document optical character recognition  Image text extraction  Image NER/extraction  Apparel detection  Sentiment analysis  Named entity recognition  Text classification  Hate speech detection  File-to-text conversion  Speech-to-text  Text-to-speech  Voice recognition (speaker identification)  Video object segmentation  Video classification  Video human action recognition * Prioritized for SAPPHIRE NOW delivery
76INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ API to Services: https://api.sap.com
77INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP Leonardo ML Solution Portfolio Including the first wave of intelligent applications • SAP Clea for Service Ticket Intelligence • SAP Clea for Customer Retention Insights • SAP Clea for Brand Intelligence • SAP Clea for Resume Matching • SAP Clea for Cash Application • S/4HANA Procurement - Predict Contract Consumption • SAP Fraud ManagementUsers Analyst Developer Applications N N N N N New Intelligent applicationN SAP BusinessObjects Cloud Instant, contextual predictive insights, such as what-if analyses, forecasts, predictive scoring Intelligent Business Services Intelligent Business Services which perform specialized tasks such as CV Matching … Intelligent Functional Services Technical ML Services including Cognitive Services, Key Influencers, Outliers, Scoring* Predictive Services Key Influencers, forecasting, Outliers, Scoring, Recommendation, What-If, Dataset services SAP BusinessObjects Predictive Analytics Analyst Full suite to manage entire predictive analytics lifecycle from data preparation, training, deployment and model management Developer SAP HANA Embedded capabilities for in-memory predictive analytics and machine learning, forecasting, optimization and text analytics. SAP Cloud Platform SAP HANA Platform N N N SAP Leonardo
A Shift Is Occurring: Non-Data Scientists Are Getting Involved Who in your organization analyzes data using advanced analytics (predictive, text, Web analytics)? Business Analysts Data Scientists Business Users 75% 56% 50% Source: TDWI; 2016
79INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ Third Party Databases SAP HANA Predictive Analysis Library Automated Predictive Library R - Integration Text Analytics Spatial Graph SAP VORA Hadoop / Spark SAP HANA Cloud Platform In Memory Server Execution In Database / Native Modeling Predictive Services Exploratory & Predictive Services SAP BusinessObjects Predictive Analytics Suite Data Manager Automated Modeler Predictive Composer Link Analysis & Recommendation Scorer SDK/ API In Memory Server Execution In Memory Server Execution In Database SAP Fraud Management Embedded Predictive Features (PAI) Predictive for BICustomer & Partner Predictive Projects 21+ Industry 11+ LoB SAP BusinessObjects Enterprise & Cloud Predictive for Apps Predictive Factory Machine Learning Architecture for Analyst and Data Scientists
80INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ “SAP PA will give us a real competitive advantage, saving hundreds of millions of euros annually.” Annabelle Gerard , Business Intelligence and Data Mining Analyst , Monext "Modeling made easy – thanks to SAP PA.” Dr. Margaret Robins, Statistical Analyst, Data Analytics and Insight, Aviva plc Train model Prepare data Apply model Capture feedback Operations Fraud and Risk Finance and HR Others Sales and Marketing SAP Leonardo for the Business Analyst and Data Scientist
81INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ “SAP PA will give us a real competitive advantage, saving hundreds of millions of euros annually.” Annabelle Gerard , Business Intelligence and Data Mining Analyst , Monext "Modeling made easy – thanks to SAP PA.” Dr. Margaret Robins, Statistical Analyst, Data Analytics and Insight, Aviva plc Train model Prepare data Apply model Capture feedback SAP Leonardo for the Business Analyst and Data Scientist
82INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ Business services Technical services Predefined models (one-off training) Continuous training (automated) Data scientist interface Partner ecosystem SAP Leonardo foundation road map  Existing process extensions  Onboarding intelligent apps  Ex: CV and invoice matching  Ready-made services  Easy integration scenarios  Ex: Translations, face recognition  Training by service team from SAP  Integration with customer business  Support for data streaming  Active learning mode  Continuous improvements  Exploratory analysis  Customer-initiated training  Data discovery  Onboarding partner apps  Monetized data  Highly scalable services SAP FKOM 2017 SAPPHIRE NOW 2017 SAP TechEd 2017 and beyond
83INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP Leonardo ML has great traction Successful customer deployments. Recognized industry leadership. Industry recognition Forrester: Leader “SAP draws a straight line from predictive models to business applications.” Hurwitz: Victor “Fast time to value and ability to support very large data sets.” Dresner: Top vendor “The top vendors for advanced and predictive analytics include SAP.” Sources: www.forrester.com
85© 2017 SAP SE or an SAP affiliate company. All rights reserved. Transform your BusinessImprove your Business Fast, reliable, cost-effective Agile, iterative, customer-focused We’d like to help you with our Analytics… Integrated Approach From islands of innovation to a Digital Platform
Philippe Nemery, SAP July 2017 Philippe.Nemery@sap.com @nemeryp Thank You!

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SAP Machine Learning Presentation

  • 1. Philippe Nemery, SAP July 2017 SAP Machine Learning @nemeryp
  • 2. • Analytics are taking the World Over: some daily life examples of Machine Learning • Machine Learning at SAP
  • 3. Analytics are Taking Over The World
  • 4. 4© 2017 SAP SE or an SAP affiliate company. All rights reserved. Technology trends: Computer vision Computer vision is surpassing human abilities A dog with ball in its mouth A skier is jumping over snow covered hill Group of seven people Late 19th-century architecture Human performance 95 75 90 85 80 2012 2013 2014 2015 year 100 ImageNet performanceAutomated captioning Accuracy in %
  • 5. 6© 2017 SAP SE or an SAP affiliate company. All rights reserved.
  • 6. © 2014 SAP AG. All rights reserved. 8
  • 7. © 2014 SAP AG. All rights reserved. 10
  • 8. 11© 2017 SAP SE or an SAP affiliate company. All rights reserved. Computers Communicate ;-) Voice transcription Lip reading Lying
  • 9. 12© 2017 SAP SE or an SAP affiliate company. All rights reserved. Computers Advise ;-)
  • 10. 13© 2017 SAP SE or an SAP affiliate company. All rights reserved. Computers Recommend ;-) « Maybe we’ll have a robot on the bench who will make decisions and the computer will analyse exactly what decisions he makes during the games ». Arsène Wenger
  • 11. 14© 2017 SAP SE or an SAP affiliate company. All rights reserved. Computers Recommend ;-)
  • 12. 15© 2017 SAP SE or an SAP affiliate company. All rights reserved. SAP Match Insights !
  • 13. 16© 2017 SAP SE or an SAP affiliate company. All rights reserved. “WHILE A LOT OF COMPANIES ARE DOING DIGITAL, VERY FEW ARE DOING IT WELL” Professor George Westerman, MIT THE ONES THAT SUCCEED FOCUS MUCH MORE ON TRANSFORMATION THAN THEY DO ON TECHNOLOGY” SMART
  • 14. 17© 2017 SAP SE or an SAP affiliate company. All rights reserved. SAP Analytics Enables the Intelligent Enterprise
  • 15. 18© 2017 SAP SE or an SAP affiliate company. All rights reserved. Integration Mobile Collaboration Microservices Machine Learning Real-time Analytics UX IoT Artificial Intelligence APIs connecting People, Things and BusinessesIntelligently Smart Digital Business
  • 16. 21© 2017 SAP SE or an SAP affiliate company. All rights reserved. Situational Awareness What do I need to do right now? Prediction What can I expect to happen? Suggestion What do you recommend? Notification What do I need to know? Perception What’s happening now? Intelligent Applications Automation What should I always do? Prevention What can I avoid? Graphic source: Ray Wang, Constellation Research Requires: • Large amounts of robust training data • Decision process expertise • Embedding in process flows
  • 17. 22© 2017 SAP SE or an SAP affiliate company. All rights reserved. More accurate predictions of heart failure – preventative maintenance for people! Digital Hearts!
  • 18. 23© 2017 SAP SE or an SAP affiliate company. All rights reserved. From Things to Outcomes Connected Manufacturing Vehicle InsightsPredictive Maintenance …Service Technicians Make sense of IoT device and sensor data, improve digital operations management, and digitize your business, manufacturing, and logistics processes.
  • 19. 24© 2017 SAP SE or an SAP affiliate company. All rights reserved. Running Gone Digital “The fitness brands of the future will not just make physical products, but will be embedded in the consumer journey in ways that will help keep people motivated and maximize their enjoyment of sport. By putting together a digital fitness platform and world class physical products, we can build a new kind of fitness brand”
  • 20. 26© 2017 SAP SE or an SAP affiliate company. All rights reserved. Predictive Analytics: • Better personalization across different channels • Better targeting and marketing execution • Real-time recommendations SAP Hybris
  • 21. 27© 2017 SAP SE or an SAP affiliate company. All rights reserved. RESTART SERVICE RECEIVED OFFER CONTACT CENTER RETAIL STORE ACTION ADVOCACY CONSIDERATION REFER FRIENDS EMAIL SOCIAL WORD OF MOUTH CHANGE ADDRESS POST REVIEW MAKE PAYMENT JOIN GROUPS TRACK ORDER RECEIVE PACKAGE SET UP PHONE MISSING ITEM NETWORK ISSUE FIX ISSUE BILLING ISSUE LOYALTY BONUS SOCIAL CONTACT CENTER SUPPORT PORTAL CONTACT CENTER SOCIAL BRANDED COMMUNITY CONTACT CENTER USE ADVOCACY USE SUPPORT PORTAL WEB SHOP RETAIL STORE WEB SHOP Optimizing the end-to-end customer journey DISCOVER NEED RECEIVE OFFER SHORTLIST BUY WEB TV DIGITAL ADS PRINT SOCIAL SEARCH KW/ADS REVIEWS RETAIL STORE CONTACT CENTER EMAIL AWARENESS INTEREST CONSIDERATION ACTION WEB SITE WORD OF MOUTH WEB SHOP RESEARCH WEB DISCOVERY
  • 22. 28© 2017 SAP SE or an SAP affiliate company. All rights reserved. Intelligence for Business
  • 23. 29© 2017 SAP SE or an SAP affiliate company. All rights reserved.
  • 24. 30© 2017 SAP SE or an SAP affiliate company. All rights reserved. Internal Data Slow and Steady Data Transactional, Changeable Data POS Data Deliveries Store Attributes Store Org Structure Store Placement Store Staff Store Visibility, Signage Competitor Store Attributes Census, ONS Data POI Data GIS Competitor and Cannibalisation Footfall Weather Events Real Estate Choosing a new store location External Data
  • 25. 31© 2017 SAP SE or an SAP affiliate company. All rights reserved. What food to make, when? Knowledge Check Past Sales Check Forecast Check Must Stock Run and Check Range Tool Set 60%/70% Fixed First Production Hot Food Continuous Replenishment All Other Food Monitor for 2nd and 3rd Variable Productions
  • 26. 32© 2017 SAP SE or an SAP affiliate company. All rights reserved. Letting algorithms make the decisions Automated predictive models that automatically adapt to the changing circumstances of every store Trading Patterns Core Range Special Events Weather
  • 27. 33© 2017 SAP SE or an SAP affiliate company. All rights reserved. Intelligent Business: the Digital Board Room Business Intelligence – Planning – Predictive Analytics
  • 28. • Some Daily Life Examples of Machine Learning • Machine Learning at SAP
  • 29. 35© 2017 SAP SE or an SAP affiliate company. All rights reserved. Timo Elliott, SAP Internal Artificial Intelligence at SAP We integrate learning from datainto SAP applications and platforms to help businesses grow, optimize processes, assist employees, and make customers happy.
  • 30. 36© 2017 SAP SE or an SAP affiliate company. All rights reserved. SAP Leonardo Machine Learning enables the intelligent enterprise 76% of the world’s transaction revenue 25 industries 12 lines of business The world’s largest business network Lifecycle management Applications Business services Functional services SAP Cloud Platform and SAP HANA SAP Leonardo Machine Learning Re-imagine business processes with digital intelligence Increased customer satisfaction with superior service Increase revenue with superior sales targeting and execution Improving quality time at work for employees Enabling product, process & business model innovations Business Outcomes
  • 31. 37© 2017 SAP SE or an SAP affiliate company. All rights reserved. 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?
  • 32. 38© 2017 SAP SE or an SAP affiliate company. All rights reserved. How enterprise data is transformed into business value From data to insights Input Machine learning Output Train model Prepare data Apply model Capture feedback Text Image Video Speech … and more Services (such as invoice processing, profile matching) …and more Applications (such as cash application)
  • 33. 39© 2017 SAP SE or an SAP affiliate company. All rights reserved. SAP’s vision for enterprise machine learning enabling the intelligent enterprise With Analytics SAP Cloud Platform and SAP HANA Do the impossibleAutomate knowledge work  Image-based SAP Ariba commerce solutions  Contextual Concur travel concierge  Self-driving customer service  Conversational sales bots  Customer retention insights  Vision-enabled manufacturing  Contextual logistics  Video-aware marketing  Visual store execution  Drone and satellite-based asset management  Transformational HR services  Lights-out finance operations
  • 34. 40© 2017 SAP SE or an SAP affiliate company. All rights reserved. Item Recognition Swarovski – Item Matching
  • 35. 41© 2017 SAP SE or an SAP affiliate company. All rights reserved. Face Emotion Analysis
  • 36. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 43
  • 37. 45© 2017 SAP SE or an SAP affiliate company. All rights reserved. Predictive Analytics Predictive Analytics Integrator HCP Predictive Services Business Forecasting Business Optimizations Text Analytics Predictive Modelling Streaming Machine Learning Spatial & Graph Machine Learning Non-expert Machine Learning Predictive Lead and Opportunity Scoring Predictive Forecasting Imaging Intelligence for Retail Execution (Smart Store) Solution Recommender Self-Service Conversational Interface Predictive Machine Maintenance Dynamic pricing Product Classification Suggestions Brand Monitoring Best Contact Time Machine Learning for vehicle insights IoT Machine Learning Services Intelligent Fraud Detection & Management Big Pool of Machine Learning Use Cases & Features We identified many relevant applications and product extensions Social Media Customer Service Invoice to Record Intercompany Reconciliation Receivables Intelligence Payables Intelligence Machine Learning for Intelligent Services Career Path Recommender Workforce Planning Recommender Marketing Efficiency Service Ticket Intelligence From Service to Sales Intelligent Self Service Bot Social Media Signal Discovery Customer Retention Insights Deal Scoring Price optimization Lead recommender Sales assistant app Product Master Data Matching Intelligent Financing for Ariba Pay Intelligent Financing for Ariba Pay Guided Discounting Payment Risk Job Matching Learning Recommendations Job Posting Sentiment Analysis Flight risk (retention risk) analysis Automated product safety classifications Software Security Analysis Automatic Creation of a semantic hierarchy Analyze User interaction
  • 38. 46© 2017 SAP SE or an SAP affiliate company. All rights reserved. Cash Application Service Ticket Intelligence Résumé Matching Brand Intelligence Predictive Analytics Predictive Analytics Integrator HCP Predictive Services Business Forecasting Business Optimizations Text Analytics Predictive Modelling Streaming Machine Learning Spatial & Graph Machine Learning Non-expert Machine Learning Predictive Lead and Opportunity Scoring Predictive Forecasting Imaging Intelligence for Retail Execution (Smart Store) Solution Recommender Self-Service Conversational Interface Predictive Machine Maintenance Dynamic pricing Product Classification Suggestions Brand Monitoring Best Contact Time Machine Learning for vehicle insights IoT Machine Learning Services Intelligent Fraud Detection & Management Customer Retention Insights Big Pool of Machine Learning Use Cases & Features We identified many relevant applications and product extensions Social Media Customer Service Invoice to Record Intercompany Reconciliation Receivables Intelligence Payables Intelligence Machine Learning for Intelligent Services Career Path Recommender Workforce Planning Recommender Marketing Efficiency Service Ticket Intelligence From Service to Sales Intelligent Self Service Bot Social Media Signal Discovery Customer Retention Insights Deal Scoring Price optimization Lead recommender Sales assistant app Product Master Data Matching Intelligent Financing for Ariba Pay Intelligent Financing for Ariba Pay Guided Discounting Payment Risk Job Matching Learning Recommendations Job Posting Sentiment Analysis Flight risk (retention risk) analysis Automated product safety classifications Software Security Analysis Automatic Creation of a semantic hierarchy Analyze User interaction Co-Pilot
  • 39. 47© 2017 SAP SE or an SAP affiliate company. All rights reserved. SAP Leonardo for Cash Application SAP Leonardo for Resume Matching SAP Leonardo for Service Ticket Intelligence SAP Leonardo for Brand Intelligence SAP Leonardo Customer Retention Insights SAP Co-Pilot
  • 40. 48© 2017 SAP SE or an SAP affiliate company. All rights reserved.
  • 41. 50© 2017 SAP SE or an SAP affiliate company. All rights reserved. SAP Leonardo for Brand Impact Reimagine marketing and sponsorship engagements Video Brand logos Exposure metrics for business impact SAP Leonardo for Brand Impact automatically analyzes brand exposure in video and images by leveraging advanced computer vision techniques. It helps media agencies, production companies, and brands to gain accurate, timely insights into sponsoring and advertising ROI. Fast: Near real-time Accurate and scalable to millions of hours Transparent Interactive interface Time-annotated impact indicator API for combining data with CRM, ERP, Web site stats SAP Leonardo
  • 42. 51© 2017 SAP SE or an SAP affiliate company. All rights reserved. SAP Leonardo for Cash Application SAP Leonardo for Resume Matching SAP Leonardo for Service Ticket Intelligence SAP Leonardo for Brand Intelligence SAP Leonardo for Customer Retention Insights SAP Co-Pilot
  • 43. 52© 2017 SAP SE or an SAP affiliate company. All rights reserved. SAP Leonardo for Service Ticketing Accelerate customer service in an omnichannel front office Service tickets Knowledge base articles Classifications Resolutions Routing Improve service response times with automated processing Allows customer service to scale with increased digital interactions Integrated with SAP Hybris Service Cloud for reduced time to value SAP Leonardo for Service Ticketing automatically processes customer enquiries to deliver best-in-class customer service.
  • 44. 53© 2017 SAP SE or an SAP affiliate company. All rights reserved. SAP Leonardo for Service Ticketing Accelerate customer service in an omnichannel front office
  • 45. 54© 2017 SAP SE or an SAP affiliate company. All rights reserved. SAP Leonardo for Cash Application SAP Leonardo for Resume Matching SAP Leonardo for Service Ticket Intelligence SAP Leonardo for Brand Intelligence SAP Leonardo for Customer Retention Insights SAP Co-Pilot
  • 46. 55© 2017 SAP SE or an SAP affiliate company. All rights reserved. SAP ML for Resume Matching Job applicants Best fit for the Job Posting Compare! Who is the Best fit Which is the for your resume Apply Company job postings Amy gets the recommendations of best talents and can compare the candidates matching the job description. June spends less time and gets the best matching job recommendations to apply! Job Matcher Resume Matcher
  • 47. 56© 2017 SAP SE or an SAP affiliate company. All rights reserved.
  • 48. 57© 2017 SAP SE or an SAP affiliate company. All rights reserved. SAP ML for Resume Matching Narrow down the shortlist to find the best candidates Compare and generate best fit score of profile to job and vice versa Parse resumes into structured information Visualize candidate profiles by skills, education, experience, etc. Parse resumes Visualize profiles Match best talent
  • 49. 58© 2017 SAP SE or an SAP affiliate company. All rights reserved. SAP Leonardo for Resume Matching Find the best talent faster with intelligent job matching History Resumes Jobs Best candidates Best jobs Fast-track the screening process to save time and effort Identify the best candidates and reduce false positives Remove personal bias in screen candidates Increase corporate brand leadership SAP Leonardo for Resume Matching automates the screening process by identifying the best candidates or jobs without bias
  • 50. 59© 2017 SAP SE or an SAP affiliate company. All rights reserved. SAP Leonardo for Cash Application SAP Leonardo for Resume Matching SAP Leonardo for Service Ticket Intelligence SAP Leonardo for Brand Intelligence SAP Leonardo for Customer Retention Insights SAP Co-Pilot
  • 51. 60© 2017 SAP SE or an SAP affiliate company. All rights reserved. SAP ML for Customer Retention Insights Manage churn, product performance, fraud, campaigns, and more A Glimpse at the Solution Take proactive actions to prevent customers from churning Build an overview of the customer journey Identify critical events/ churn indicators Incoming dynamic data from various channels Sort, classify & route events Identify customers who are about to churn
  • 52. 61© 2017 SAP SE or an SAP affiliate company. All rights reserved. SAP Leonardo for Customer Retention Insights Build customer loyalty through proactive retention Customer data Digital fingerprints Churn prediction Root causes Automatically classifies and finds patterns Provides understanding of root causes and timely predictions to act Detects at-risk customers SAP Leonardo for Customer Retention Insights identifies leading indicators based on transactional interactions to anticipate customer behavior, such as product cancellations or renewals
  • 53. 62© 2017 SAP SE or an SAP affiliate company. All rights reserved. SAP Leonardo for Cash Application SAP Leonardo for Resume Matching SAP Leonardo for Service Ticket Intelligence SAP Leonardo for Brand Intelligence SAP Leonardo for Customer Retention Insights SAP Co-Pilot
  • 54. 63CUSTOMER© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ Challenges facing accounts receivable (AR) teams in Leonardoring incoming payments Joni Chen AR accountant Lump sum Missing info Discounts Exchange Customer call ??? Payments
  • 55. 64CUSTOMER© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ Challenges facing AR teams in Leonardoring incoming payments Jane, 34 AR Accountant PAYMENTS Invoice Details Payment Invoices Payment £ Invoice € Payment $1,200 Invoice $1,300 PAYMENTS Customer Details Payment number 10003, the payment amount is $2000. I assume this should be for: Invoice F5132 + Invoice F2672 + … = $2000? Hi! We received this payment 10003. Is this meant for these Invoices F5132 + F2672 + … ... ? 2 hours later… calling the customer
  • 56. 65CUSTOMER© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ Comparing approaches to automation Engines preloaded with highly specific process knowledge enable rule-based automation machine learning identifies hidden patterns in knowledge- intensive processes and learns from the data without being explicitly programmed Robotics process automation helps run repetitive, rule- based, and user interface– focused tasks and bridges temporary gaps Rule engines Machine learning Robotic process automation
  • 57. 66© 2017 SAP SE or an SAP affiliate company. All rights reserved. • The historical Leonardoring data of all AR accountants becomes a valuable asset for Machine Learning. • Machine Learning captures this knowledge and uses it for processing new incoming payments automatically. • For payments that cannot be Leonardored automatically due to lower confidence levels, AR accountants can see a list of the best fitting invoices saving time to identify the relevant receivables. SAP ML for Cash Application Automation enables scale PAYMENTS INVOICES
  • 58. 67© 2017 SAP SE or an SAP affiliate company. All rights reserved.
  • 59. 68© 2017 SAP SE or an SAP affiliate company. All rights reserved. SAP Leonardo for Cash Application SAP Leonardo for Resume Matching SAP Leonardo for Service Ticket Intelligence SAP Leonardo for Brand Intelligence SAP Leonardo for Customer Retention Insights SAP Co-Pilot
  • 60. 69© 2017 SAP SE or an SAP affiliate company. All rights reserved. SAP Co-Pilot - One Digital Assistant with One Personality Across All Products & Solutions, Industries and LoBs SAP Co-Pilot The digital assistant for the live enterprise Business context awareness Understanding the business context, and pro-actively suggesting solutions using predictive functionality Conversational (multi-modal) UI Conversational UI using Natural Language Processing functionality with a focus on the next-gen UX to create a human-like experience Cross Applications Allows seamless transition across platforms; start a task on a mobile device and continue later, on a desktop or vice versa Self Learning Using machine learning functionality to gain knowledge based on historic data, experience, and take action in response to new or unforeseen events Simple Access to Enterprise AI Platform Integration to SAP and Non-SAP Solutions Simple access to Natural Language Processing and Machine Learning functionality via APIs
  • 61. 70© 2017 SAP SE or an SAP affiliate company. All rights reserved. SAP Co-Pilot The digital assistant for the live enterprise
  • 62. 71© 2017 SAP SE or an SAP affiliate company. All rights reserved. Cash Application Service Ticket Intelligence Résumé Matching Brand Intelligence Predictive Analytics Predictive Analytics Integrator HCP Predictive Services Business Forecasting Business Optimizations Text Analytics Predictive Modelling Streaming Machine Learning Spatial & Graph Machine Learning Non-expert Machine Learning Predictive Lead and Opportunity Scoring Predictive Forecasting Imaging Intelligence for Retail Execution (Smart Store) Solution Recommender Self-Service Conversational Interface Predictive Machine Maintenance Dynamic pricing Product Classification Suggestions Brand Monitoring Best Contact Time Machine Learning for vehicle insights IoT Machine Learning Services Intelligent Fraud Detection & Management Customer Retention Insights Big Pool of Machine Learning Use Cases & Features We identified many relevant applications and product extensions Social Media Customer Service Invoice to Record Intercompany Reconciliation Receivables Intelligence Payables Intelligence Machine Learning for Intelligent Services Career Path Recommender Workforce Planning Recommender Marketing Efficiency Service Ticket Intelligence From Service to Sales Intelligent Self Service Bot Social Media Signal Discovery Customer Retention Insights Deal Scoring Price optimization Lead recommender Sales assistant app Product Master Data Matching Intelligent Financing for Ariba Pay Intelligent Financing for Ariba Pay Guided Discounting Payment Risk Job Matching Learning Recommendations Job Posting Sentiment Analysis Flight risk (retention risk) analysis Automated product safety classifications Software Security Analysis Automatic Creation of a semantic hierarchy Analyze User interaction
  • 63. 72INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ Machine Learning is embedded across the SAP portfolio Finance Marketing Sales Service Human Resources Procurement Supply Chain Platform Cash Application Accounts Payable Predictive Accounting … …Brand Impact Customer Behavior Segmentation … Service Ticketing Customer Retention Sales Forecasting CoPilot … … Goods & Services Classifier … Solution Recommender Profile Completeness …Resume Matching Learning Recommender openSAP Translation Financial Advising Forecasting (IBP) Stock in Transit Available now Wave 2 Wave 3 Machine Learning Foundation …Model Training Infrastructure
  • 64. 73INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ Leonoardo foundation Applications Common application architecture Including the first wave of intelligent applications Training, Lifecycle management API, bindings, wrappers Business services … Training infrastructure Operationalization Data preparation Algorithm libraries Resource manager User Data Scientist Developer Functional services … Tabular Image Service ticketing Resume matching Job matching Audio, video Text SAP Leonardo
  • 65. 74INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP Leonardo ML Solution Portfolio Including the first wave of intelligent applications • SAP Clea for Service Ticket Intelligence • SAP Clea for Customer Retention Insights • SAP Clea for Brand Intelligence • SAP Clea for Resume Matching • SAP Clea for Cash Application • S/4HANA Procurement - Predict Contract Consumption • SAP Fraud ManagementUsers Analyst Developer Applications N N N N N New Intelligent applicationN SAP BusinessObjects Cloud Instant, contextual predictive insights, such as what-if analyses, forecasts, predictive scoring Intelligent Business Services Intelligent Business Services which perform specialized tasks such as CV Matching … Intelligent Functional Services Technical ML Services including Cognitive Services, Key Influencers, Outliers, Scoring* Predictive Services Key Influencers, forecasting, Outliers, Scoring, Recommendation, What-If, Dataset services SAP BusinessObjects Predictive Analytics Analyst Full suite to manage entire predictive analytics lifecycle from data preparation, training, deployment and model management Developer SAP HANA Embedded capabilities for in-memory predictive analytics and machine learning, forecasting, optimization and text analytics. SAP Cloud Platform SAP HANA Platform N N N SAP Leonardo
  • 66. 75INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP Leonardo foundation services portfolio Tabular Image Text Audio/ Video General availability*  Time series change point detection  Time series forecasting (AA algorithm)  Clustering  Key influencer analysis  Outlier detection  Recommendation  What-if analysis  Image classification  Image feature extraction  Earth observation analysis  Topic detection/keyword extraction Alpha  Time series forecasting (R algorithms)  Similarity scoring  Product image classification  Machine translation  Document feature extraction  Language detection  Product text classification Road map  Time-to-failure forecasting  Association rule learning  Image segmentation  Face detection  Document optical character recognition  Image text extraction  Image NER/extraction  Apparel detection  Sentiment analysis  Named entity recognition  Text classification  Hate speech detection  File-to-text conversion  Speech-to-text  Text-to-speech  Voice recognition (speaker identification)  Video object segmentation  Video classification  Video human action recognition * Prioritized for SAPPHIRE NOW delivery
  • 67. 76INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ API to Services: https://api.sap.com
  • 68. 77INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP Leonardo ML Solution Portfolio Including the first wave of intelligent applications • SAP Clea for Service Ticket Intelligence • SAP Clea for Customer Retention Insights • SAP Clea for Brand Intelligence • SAP Clea for Resume Matching • SAP Clea for Cash Application • S/4HANA Procurement - Predict Contract Consumption • SAP Fraud ManagementUsers Analyst Developer Applications N N N N N New Intelligent applicationN SAP BusinessObjects Cloud Instant, contextual predictive insights, such as what-if analyses, forecasts, predictive scoring Intelligent Business Services Intelligent Business Services which perform specialized tasks such as CV Matching … Intelligent Functional Services Technical ML Services including Cognitive Services, Key Influencers, Outliers, Scoring* Predictive Services Key Influencers, forecasting, Outliers, Scoring, Recommendation, What-If, Dataset services SAP BusinessObjects Predictive Analytics Analyst Full suite to manage entire predictive analytics lifecycle from data preparation, training, deployment and model management Developer SAP HANA Embedded capabilities for in-memory predictive analytics and machine learning, forecasting, optimization and text analytics. SAP Cloud Platform SAP HANA Platform N N N SAP Leonardo
  • 69. A Shift Is Occurring: Non-Data Scientists Are Getting Involved Who in your organization analyzes data using advanced analytics (predictive, text, Web analytics)? Business Analysts Data Scientists Business Users 75% 56% 50% Source: TDWI; 2016
  • 70. 79INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ Third Party Databases SAP HANA Predictive Analysis Library Automated Predictive Library R - Integration Text Analytics Spatial Graph SAP VORA Hadoop / Spark SAP HANA Cloud Platform In Memory Server Execution In Database / Native Modeling Predictive Services Exploratory & Predictive Services SAP BusinessObjects Predictive Analytics Suite Data Manager Automated Modeler Predictive Composer Link Analysis & Recommendation Scorer SDK/ API In Memory Server Execution In Memory Server Execution In Database SAP Fraud Management Embedded Predictive Features (PAI) Predictive for BICustomer & Partner Predictive Projects 21+ Industry 11+ LoB SAP BusinessObjects Enterprise & Cloud Predictive for Apps Predictive Factory Machine Learning Architecture for Analyst and Data Scientists
  • 71. 80INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ “SAP PA will give us a real competitive advantage, saving hundreds of millions of euros annually.” Annabelle Gerard , Business Intelligence and Data Mining Analyst , Monext "Modeling made easy – thanks to SAP PA.” Dr. Margaret Robins, Statistical Analyst, Data Analytics and Insight, Aviva plc Train model Prepare data Apply model Capture feedback Operations Fraud and Risk Finance and HR Others Sales and Marketing SAP Leonardo for the Business Analyst and Data Scientist
  • 72. 81INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ “SAP PA will give us a real competitive advantage, saving hundreds of millions of euros annually.” Annabelle Gerard , Business Intelligence and Data Mining Analyst , Monext "Modeling made easy – thanks to SAP PA.” Dr. Margaret Robins, Statistical Analyst, Data Analytics and Insight, Aviva plc Train model Prepare data Apply model Capture feedback SAP Leonardo for the Business Analyst and Data Scientist
  • 73. 82INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ Business services Technical services Predefined models (one-off training) Continuous training (automated) Data scientist interface Partner ecosystem SAP Leonardo foundation road map  Existing process extensions  Onboarding intelligent apps  Ex: CV and invoice matching  Ready-made services  Easy integration scenarios  Ex: Translations, face recognition  Training by service team from SAP  Integration with customer business  Support for data streaming  Active learning mode  Continuous improvements  Exploratory analysis  Customer-initiated training  Data discovery  Onboarding partner apps  Monetized data  Highly scalable services SAP FKOM 2017 SAPPHIRE NOW 2017 SAP TechEd 2017 and beyond
  • 74. 83INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP Leonardo ML has great traction Successful customer deployments. Recognized industry leadership. Industry recognition Forrester: Leader “SAP draws a straight line from predictive models to business applications.” Hurwitz: Victor “Fast time to value and ability to support very large data sets.” Dresner: Top vendor “The top vendors for advanced and predictive analytics include SAP.” Sources: www.forrester.com
  • 75. 85© 2017 SAP SE or an SAP affiliate company. All rights reserved. Transform your BusinessImprove your Business Fast, reliable, cost-effective Agile, iterative, customer-focused We’d like to help you with our Analytics… Integrated Approach From islands of innovation to a Digital Platform
  • 76. Philippe Nemery, SAP July 2017 Philippe.Nemery@sap.com @nemeryp Thank You!