The Analytics Value Chain Key to Delivering Value in IoT

Transcription

1 Vitria Operational Intelligence The Value Chain Key to Delivering Value in IoT Dr. Dale Skeen CTO and Co-Founder

2 Internet of Things Value Potential $20 Trillion by % 2015 Vitria Technology, Inc. 2

3 Where Generates Value in IoT Industrial Enterprise Industrial Enterprise Consumer Revenue Growth Demand/Supply Optimization Customer Engagement My Life Style Predictive 1:1 Marketing Operational Efficiency Outage Mgmt. Asset Optimization Predictive Maintenance Smart Home Safety and Security Cyber Security Fraud Detection Health Monitoring 2015 Vitria Technology, Inc. 3

4 Lakes are cool Streams are cooler 2015 Vitria Technology, Inc. 4

5 Lakes are cool Streams are cooler Ingest and store Analyze later using bulk algorithms Historical Machine learning for building predictive models Ingest Analyze immediately using incremental algorithms Fast, Real-Time Operationalize models for Real-Time Predictions Prescribe Next Best Action 2015 Vitria Technology, Inc. 5

6 Your Telco wants to predict when you are about to leave the country... So they can text you an attractive data roaming offer! 2015 Vitria Technology, Inc. 6

7 Real-time, Predictive 1:1 Marketing How does your telco know you leaving the country? O 2 Largest Mobile Telco in UK Eurostar trains run between UK and Europe via Channel Tunnel. 10 million passengers per year Opportunity: Text customers a great data roaming offer just before leaving UK. or or Challenges: How to detect customers on the train? Highways next to train routes & stations Local trains share same routes as Eurostar Local? Eurostar? 2015 Vitria Technology, Inc. 7

8 Vitria IoT: Chain in Action Fast Data Ingestion Contextual Awareness Situational Intelligence Predictive Prescriptive Intelligent Actions Ingest data at speed and volume ~ 250,000 events per second Correlate & enrich with contextual data Correlate realtime situational data Predict threats and opportunities upload predictive patterns Identify next best actions using automated rules Act Quickly to Capture Value $ Cellular Network CRM, Train Routes & Schedules Customer Journey Machine Learning over Historical Data Rules based on Best Practices Intelligent BPM Seconds 2015 Vitria Technology, Inc. 8

9 Value Vitria IoT: Analytic Value Chain multi-stage analytic processing drives value Fast Data Ingestion Contextual Awareness Situational Intelligence Predictive Prescriptive Intelligent Actions Maturity 2015 Vitria Technology, Inc. 9

10 Business Impact IoT: Maturity Model Fast Data Ingestion Contextual Awareness Situational Intelligence Predictive Prescriptive Intelligent Actions Connected Aware Reactive Predictive Proactive 2015 Vitria Technology, Inc. 10

11 Predicted Maintenance & Outage Prevention predicting equipment failure during weather events Situation Severe weather events can cause equipment failure and outages Opportunity Enhance operations by predicting equipment failures Lessen the probability of a catastrophic failure 2015 Vitria Technology, Inc. 11

12 Vitria IoT: Analytic Chain in Action Fast Data Ingestion Contextual Awareness Situational Intelligence Predictive Prescriptive Intelligent Actions Ingest data at speed and volume ~ 1,000,000 events per second Correlate & enrich with contextual data Correlate realtime situational data Predict threats and opportunities uploaded models Identify next best actions using automated rules Act Quickly to Capture Value $ Smart Meter Equipment & Maintenance History Weather Conditions Machine Learning over Historical Data Rules based on Best Practices Intelligent BPM ~ 1 Second 2015 Vitria Technology, Inc. 12

13 Fast Data Ingestion Contextual Awareness Situational Intelligence Predictive Prescriptive Intelligent Actions Elastic, scale-out architecture Commodity hardware In-memory computing Contextual data pre-loaded Actions with intelligent BPM 2015 Vitria Technology, Inc. 13

14 Recent IoT Use Cases Preventative Maintenance Driver Behavior Scoring Fraud Detection TXU Large Equipment Visibility, Intelligence & Governance Machine learning of of predictive Hidden maintenance Processes model over Monitor machine SLAs history customer transactions Continuous monitoring across of key underlying indicators and systems environment Vizualize Increased info service in process uptime, context reduced unplanned outages, reduced truck rolls TXU Connected Car Visibility, Intelligence & Governance Machine Learning of predictive Hidden model Processes over historical driver Monitor records SLAs customer transactions Includes Human, across Vehicle, and underlying Environmental systems variables Vizualize influencing info Safe in process Drive outcome context Driving Behavior is continuously scored as new data is made available Smart Meter Fraud: Smart Meters can be manipulated to make them under-register. Fraud: Smart Meters can be fooled into sending energy reversal events (fraud). Grid Integrity: Detect unusual voltage fluctuations Vitria Technology, Inc. 14

15 What Does This All Mean? 2015 Vitria Technology, Inc. 15

16 Value Chain for IoT Historical + Situational + Predictive + Prescriptive drives Value in IoT Timely action is the last critical mile in the analytics value chain Fast maximizes Value since many IoT problems are time-sensitive Operationalize machine learning from Historical Data to generate predictive & prescriptive models for Value Chain 2015 Vitria Technology, Inc. 16

17 Vitria IoT Products Vitria IOT APaaS ( Platform as a Service) Self-Service IoT, in the Cloud IoT in Minutes not Months Vitria IoT Platform Historical + Situational + Predictive + Prescriptive Analytic Value Chains via Visual Modeling Quickly Operationalize Machine Learning from Historical Data for Real-time Execution Scalable, Fast, and Open Big Data Leveraging Spark, Hadoop, Hive, more 2015 Vitria Technology, Inc. 17

18 Resources: Vitria IoT Platform A new analytics methodology to help you generate value faster for your IoT initiatives Advanced for Manufacturing Advanced for Telecommunications Advanced for Utilities 2015 Vitria Technology, Inc. 18