Becoming an Intelligent Enterprise to Make Money Out of Data

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1 Becoming an Intelligent Enterprise to Make Money Out of Data Shailendra Kumar, Chief Evangelist, SAP October 10, 2018

2 Changing Times 2

3 The Digital Era is evolving into The Intelligence Era Mainframe & PCs 1960s 1980s Client Server & Internet 1990s s Cloud, Mobile & Big Data 2000s s Intelligent Technologies 2010s s ENABLING TECHNOLOGIES Transistors & silicon revolution Large scale Mainframe Computing adoption Emergence of PC s Plant floor automation Widespread PC adoption Broadband Internet ERP and business process technologies Mobile & Smartphone ubiquity Cloud Computing Social Networks Big Data Machine learning (ML) and artificial intelligence (AI) Internet of things (IoT) and distributed computing Blockchain CUSTOMER VALUE CREATION Industrial Automation Business Process Automation Digital Transformation Intelligent Enterprise 3

4 Human Interactions Bringing it all together The ability of a machine, to facilitate interactions with humans & machines, by utilising unstructured, semi-structured or structured data. The process also involves the application of self-learning or machine learning models for predicting outcomes beforehand Structured Data Semi-Structured Data Machine Learning UnStructured Data Data Center 4

5 Traditional Motor Claim Process Motor accident can cause a lot of grief and claiming process can be scary Policy Holder meets with an accident Calls the Call Center, waits in the Call Queue Surveyor is assigned who assesses the vehicle Surveyor sends report to the repair garage Repair work is done Weeks to Examine / Manual Process The accident process requires manual intervention insurance companies human capital to evaluate the amount of damage on the car involved in an accident, which is both expensive and time consuming 5

6 Innovative Insurance companies are now utilising advanced analytics techniques like deep learning to change customer experience, saving huge amount of money along with providing a seamless experience to their customers Policy Holder meets with an accident Take pictures & uploads to website, tow truck on its way Deep Learning techniques are applied to collected Pictures, Weather data, GPS data to evaluate the extent of damage within seconds. Report is sent to garage before the car arrives Repair work is done Completed in minutes Insurers are now able to save tens of millions of dollars just by applying these innovative technique Value through innovation $10M + 6

7 What is an Intelligent Enterprise? 7

8 The Intelligent Enterprise Manufacturing & Supply Chain Digital Core People Engagement THE INTELLIGENT ENTERPRISE features 3 KEY COMPONENTS: Customer Experience Intelligent Suite Network & Spend Management 1 Intelligent Suite Intelligent Technologies 2 Intelligent Technologies AI/ML IoT Analytics 3 Digital Platform Digital Platform Data Management Cloud Platform 8

9 AI Definition 2018 Artificial Intelligence Machine Learning Machine Learning Blockchain Data Intelligence Big Data Internet of Things Analytics Orchestration Automation ( RPA) Conversational Bots The orchestration of a set of knowledge-embedded technologies when used together augment or automate a complete task of a specialist or a professional knowledge worker 9

10 Additionally, Data Types are Growing Intelligent Systems require bi-directional integration and speed by 2020 over 70% of all enterprise data will come from non-transactional sources Data you possess + Data outside your firewall + Customer records Transactional systems Predictive models Institutional expertise Operational systems News Events Social media Weather Geospatial information Data that s coming Internet of Things (IoT) Sensory data Images Video Structured and active Semi-Structured Unstructured and dark 10

11 Digital Transformation Collapses Processes into Data An integrated Data Ecosystem changes everything Business Process Intelligent Insights Data is being used to create processes for digital transformation and AI will help answer data questions 11

12 Google Data Center Optimisation 12

13 Every five minutes, the cloud based algorithms pulls a snapshot of the data center cooling system through thousands of sensors 13

14 The information is fed into deep neural network models which then predicts the future of energy efficiencies and temperature based on proposed actions 14

15 The model then selects the best action that satisfies the safety constraints and minimizes future energy consumption 15

16 Optimal actions are then sent back to the data center, where the local system verifies them against its own safety constraints before implementation 16

17 It s now delivering energy savings of 30 percent on average, compared to the data centers historical energy usage 17

18 Cirque Du Soleil 18

19 We have a huge opportunity to shape the future together Contact information: Shailendra Kumar Chief Evangelist Analytics linkedin.com/in/shaily CognitiveToday.com QR Codes Linkedin Twitter Weibo shaily.kumar@sap.com