Die Evolution des Intelligenten Unternehmens Maschinelles Lernen zielgerichtet einsetzen

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1 Die Evolution des Intelligenten Unternehmens Maschinelles Lernen zielgerichtet einsetzen Dr. Markus Noga, Head of Machine Learning, SAP SE March 1, 2018 INTERNAL

2 The Automation of Repetitive Tasks is Allowing Humans to be More Productive and Focus on Higher Value Tasks 97% Image recognition accuracy (human: 95%) 95% Speech recognition accuracy (human: 94%) Human high value tasks (augmented by AI) Human repetitive tasks Enterprise system Transactional Enterprise Digital Enterprise Intelligent Enterprise 60% Of human tasks will be automated by % Of companies see ML as critical for competitive advantage $18B Enterprise Machine Learning Market by

3 The Intelligent Enterprise Every high volume digital business process runs autonomously 3

4 SAP Leonardo enables the Intelligent Enterprise 76% of the world s transaction revenue 25 industries Data & Integration 12 lines of business The world s largest business network SAP Leonardo Machine Learning Conversational Experience Intelligent Services Intelligent Apps Data Science On SAP Cloud Platform & SAP HANA Business Outcomes Increase revenue Re-imagine processes Quality time at work Customer satisfaction Enabling innovations 4

5 Intelligent Marketing, Sales and Service Propensity to buy a product Buying Propensity Sales Score Builder Customer Retention List of Customers With High Churn Probability Product Recommendation Create Target Group Smart Campaigns Customer Touch Points Lead Scoring List of Leads with high scores Closed-loop Performance across all channels Real-time e-commerce/ Web Personalization Attribution 5

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7 Lead Recommendations 7

8 Demo / Video 8

9 Find the Bear A B C D E F 9

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13 Intelligent Finance How can I proactively manage unusual business situations? How do we scale with the business while reducing costs? How can we better predict future cash positions? How can we accelerate monthend closing and reduce efforts? How do we stay compliant efficiently and effectively? Financial Planning & Analysis Financial Operations Treasury & Financial Risk Management Group Accounting & Reporting Governance, Risk & Compliance 13

14 Finance Operations: Accounts Receivables Vision Lockbox information Bank statements Automatic clearing Manual clearing Cleared payment Payment Advices Payment Advice Extraction Standard clearing rules Line Item Matching Payment difference is too high Invoices Accountant confirms proposal (configurable) Dispute Proposal Service Dispute Cash Collection Recommender Promise to Pay 14

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17 SAP Leonardo enables the Intelligent Enterprise 76% of the world s transaction revenue 25 industries Data & Integration 12 lines of business The world s largest business network SAP Leonardo Machine Learning Conversational Experience Intelligent Services Intelligent Apps Data Science On SAP Cloud Platform & SAP HANA Business Outcomes Increase revenue Re-imagine processes Quality time at work Customer satisfaction Enabling innovations 17

18 Learn More Website sap.com/ml Online Courses Enterprise ML in a Nutshell Enterprise Deep Learning with TensorFlow Social on Twitter Co-innovate ml@sap.com 18

19 Thank you.