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Watson Internet of Things Hexamite
- 1. Watson Internet ofThings Hexamite 12/12/2016 Tony Deering - Watson IoT Solutions Consultative Executive - tony.deering@us.ibm.com Chris Moore - Watson IoT Platform and Solutions Executive - chrmoore@us.ibm.com
- 2. With IoT, Clientsare looking to… Engage with clients and markets in new ways Rapidly and securely connect devices Optimize operations Enable new business models Facilities Vehicles Home Health Factories Transport IBM Watson IoT Platform IBM Watson IoT Solutions Facilities Mgmt Asset Performance Connected Products Work Mgmt Health & Safety Operations Product Development Streamline Business Workflow
- 3. Data is drivingtransformation 25 Billion Installed IoT devices by 2020 70% of IoT Uses Projected to be B2B & B2B2C
- 4. Digital Disruption ofthe Physical World Accelerating advances in technology And transforming every part of business Advanced analytics Creating new products and business models Improving operations and lowering costs Driving engagement and customer experience Pervasive connectivity Embedded sensors Cloud computing Product Lifecycle Management
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- 6. Cognitive systems aren’t programmed.They learn from virtually every interaction and the surrounding context to unleash the potential of the IoT. At the Intersection of the internet of things with the internet of people Cognitive IoT enables us to learn from, and infuse intelligence into, the physical world to transform business and enhance the human experience.
- 7. The right mixof Big Data & Analytics capabilities enables better decisions and increases the business value 6 How can everyone be more right… ….more often? Descriptive What has happened? Predictive What could happen? Prescriptive How can we achieve the best outcome? Cognitive – e.g. Watson Tell me the best course of action? Big Data & Analytics Business Value
- 8. 101 010 101 Platform Everything you needto innovate with IoT Weather Access Social Performance Business TransformationConnecting the data that matters Ready your business for cognitive IoT by deploying a highly secure, scalable, and open platform that lets you start, and grow, quickly Applications Optimizing Operations for Business Impact Solutions New business models for industry Devices
- 9. IBM Watson IoTPlatform - Connect Connect and manage devices, networks, and gateways IBM Watson IoT Platform - Information Management Integrating information, structured and unstructured, from devices, people, and the world around us IBM Watson IoT Platform - Analytics Gaining insights from information using Realtime, Predictive and Cognitive analytics IBM Watson IoT Platform - Risk Management Ensuring you leverage the right information from the right sources, and the right software runs where you need it The IBM Watson IoT Platform Offerings Everything you need to transform with IoT 8 Anomaly Detection Blockchain Firmware Updates Watson IoT Platform
- 10. Watson IoT PlatformConnect – Secure Connections IBM Watson IoT Platform Sensors & Networks 01 0110 0010 001001 Devices Platform • Support for direct connection • MQTT • HTTPs (publish) • WebSockets • Secure Connections • TLS 1.2 • Token based authentication • Packet size up to 128K • Based on highly scalable MessageSight technology
- 11. Watson IoT PlatformConnect – Gateways Device Device Device Gateway IBM Watson IoT Platform • Support for indirect connections • IBM provides Gateway Interface – Gateway developed by partners • Devices behind gateway can use any kind of protocols • Gateway connects using a secure direct connection • Devices behind gateway can be auto-registered • Device behind gateway appear as normal devices on the platform • Gateways send events and receive commands on behalf of attached devices
- 12. IBM Watson IoTPlatform - Connect Connect and manage devices, networks, and gateways IBM Watson IoT Platform - Information Management Integrating information, structured and unstructured, from devices, people, and the world around us IBM Watson IoT Platform - Analytics Gaining insights from information using Realtime, Predictive and Cognitive analytics IBM Watson IoT Platform - Risk Management Ensuring you leverage the right information from the right sources, and the right software runs where you need it The IBM Watson IoT Platform Offerings Everything you need to transform with IoT 11 Anomaly Detection Blockchain Firmware Updates Watson IoT Platform
- 13. Watson IoT Platform– Information Management IBM Watson IoT Platform Sensors & Networks Other Data Sources Weather Map 01 0110 0010 001001 Devices Platform Other IoT platforms • Parse Data • Translate Data • Filter Data • Aggregate Data • Store Data Social
- 14. IBM & TheWeather Company • Weather Company data is now available through API on Bluemix … “Insights for Weather” • Incorporate weather data natively into your IoT applications
- 15. IBM Watson IoTPlatform - Connect Connect and manage devices, networks, and gateways IBM Watson IoT Platform - Information Management Integrating information, structured and unstructured, from devices, people, and the world around us IBM Watson IoT Platform - Analytics Gaining insights from information using Realtime, Predictive and Cognitive analytics IBM Watson IoT Platform - Risk Management Ensuring you leverage the right information from the right sources, and the right software runs where you need it The IBM Watson IoT Platform Offerings Everything you need to transform with IoT 14 Anomaly Detection Blockchain Firmware Updates Watson IoT Platform
- 16. Natural Language Processing (NLP) Videoand Image Analytics Text Analytics Machine Learning Watson IoT API families Easy integration of advanced analytics into IoT apps Machine Learning Natural Language Text Analytics Video/Image/Audio IBM Confidential Streaming Studio
- 17. IBM is aLeader in Defining IoT and Building Ecosystems Participating in and driving key open standards and industry initiatives Deriving value through strong industry partnerships and open ecosystems Wide variety of supported devices Self Service Open ecosystem Simple tutorials Connect in moments Connecting diverse devices to the Watson IoT Platform
- 18. Enterprise-ready components to connect, secure, providedata insight, assemble and manage IoT Applications What Makes Watson IoT Platform Different? • Device neutral – IBM does not compete with its sensor, gateway, network, and processor partners • Built on open standards • Data neutral – IBM’s business model does not depend on owning its customer’s data • Privacy protection and access control • Platform of Platforms – IBM is committed to integrating with other leading platforms so customers are not forced to chose proprietary tech stacks • IoT specific security – security micro-services built specifically for IoT-based solutions Most Trusted IoT Platform • Watson-inside – machine learning and cognitive • Industry models – deep, industry-specific analytics models • Third party data sources – leading the industry at partnering with outside data providers (e.g. Weather Company, ESRI Geospatial, Telcos) • Industry Integrations – easily push and pull data from leading industry solutions, both IBM’s and its partners’ Industry Leading Analytics • Global data centers – 40+ data centers across the globe • Low latency and high throughput at enterprise scale • Hybrid delivery form factors... public cloud, dedicated cloud, on premise • Bluemix and Softlayer – built to work on IBM’s core cloud offerings but also deliver the transactional scale required by the new world of IoT Unmatched Scale and Scope 3B four-year investment in cognitive IoT 4,000 plus clients 750 IoT patents 20 Industries, in 25 countries 15B security events managed daily 10,000 security clients in 133 countries
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- 20. IoT Real WorldResults
- 21. Elimination of manual operations95% 100% Shortencustomer service call time by 70% Prediction of ground events for high risk engines Reduction of time for software error correction 90% Improvement in process efficiency 98% In cost and performance benefits $700M reduction in manual processes 93% IBM helping customers achieve results with IoT Improvement in steering decisions due to quality insight 20%
Editor's Notes
- #4 There’s massive opportunity to be had, but the IoT also presents a significant data challenge as the scale, complexity and diversity of IoT data threatens to overwhelm traditional computing systems. Traditional programmable systems are designed to handle specific scenarios and data sets. But IoT data doesn’t play by traditional rules. Images, videos, sound and machine-to-machine data all come together through the IoT. This data is then combined with data sources such as social media, weather reports and enterprise data, which provide additional context and relevancy that sharpens the value of insights. Because of security concerns, regulatory and compliance requirements, costs, or simply the need for speed, much of this data must be processed at the network edge. IBM Watson technology represents the leading edge of cognitive computing—in fact, it’s virtually the only comprehensive cognitive computing solution. Using natural language to communicate with people, Watson technology virtually eliminates the need for users to know complex coding and have specialized IT expertise. Cognitive computing provides the means for understanding and extending the insights gained from those massive volumes and diverse types of IoT data. Maybe the most exciting thing about Watson technology is that it may forever shift the conversation from “What is the answer?” to “What are the possibilities?” In the cognitive era, this is where the true competitive advantage first takes root.
- #6 There’s massive opportunity to be had, but the IoT also presents a significant data challenge as the scale, complexity and diversity of IoT data threatens to overwhelm traditional computing systems. Traditional programmable systems are designed to handle specific scenarios and data sets. But IoT data doesn’t play by traditional rules. Images, videos, sound and machine-to-machine data all come together through the IoT. This data is then combined with data sources such as social media, weather reports and enterprise data, which provide additional context and relevancy that sharpens the value of insights. Because of security concerns, regulatory and compliance requirements, costs, or simply the need for speed, much of this data must be processed at the network edge. IBM Watson technology represents the leading edge of cognitive computing—in fact, it’s virtually the only comprehensive cognitive computing solution. Using natural language to communicate with people, Watson technology virtually eliminates the need for users to know complex coding and have specialized IT expertise. Cognitive computing provides the means for understanding and extending the insights gained from those massive volumes and diverse types of IoT data. Maybe the most exciting thing about Watson technology is that it may forever shift the conversation from “What is the answer?” to “What are the possibilities?” In the cognitive era, this is where the true competitive advantage first takes root.
- #7 There’s massive opportunity to be had, but the IoT also presents a significant data challenge as the scale, complexity and diversity of IoT data threatens to overwhelm traditional computing systems. Traditional programmable systems are designed to handle specific scenarios and data sets. But IoT data doesn’t play by traditional rules. Images, videos, sound and machine-to-machine data all come together through the IoT. This data is then combined with data sources such as social media, weather reports and enterprise data, which provide additional context and relevancy that sharpens the value of insights. Because of security concerns, regulatory and compliance requirements, costs, or simply the need for speed, much of this data must be processed at the network edge. IBM Watson technology represents the leading edge of cognitive computing—in fact, it’s virtually the only comprehensive cognitive computing solution. Using natural language to communicate with people, Watson technology virtually eliminates the need for users to know complex coding and have specialized IT expertise. Cognitive computing provides the means for understanding and extending the insights gained from those massive volumes and diverse types of IoT data. Maybe the most exciting thing about Watson technology is that it may forever shift the conversation from “What is the answer?” to “What are the possibilities?” In the cognitive era, this is where the true competitive advantage first takes root.
- #18 Industrial Internet Consortium => Designed to create standards in Industrial IoT, including Energy, Healthcare, Manufacturing, Public Sector, and Transportation. IBM was founding member in March, 2014.
- #20 Identification This is an ongoing process where we review monthly our selected categories and add/prune as needed. Each category is assigned an owner who is responsible for lead generation, partner relationships, and status Ratio is 140 touchpoints/14 ideation sessions/7 completed projects Cold calls, client execs, offering management teams, sales team Need to reach out to client execs, sales leaders – who else can help? Can we leverage the sales team for upsell into existing engagements? Outcome: Build pipeline, qualify pipeline, Identify key stakeholders for QP Connect NDA in place – this seems to be par for the course, but a bit unusual – perhaps because we’re non-traditional! Goal: Identify 2-3 use cases of mutual interest, identify symbiotic business relationship Identify joint customers (if applicable) Typically on the ground – f2f – 0.5 to 1 day based on complexity and level of interest At this point these are high probability engagements Plan Create mutual plan for collaboration, work, and announcement (JIA/MOU etc) 1 week to create plan, review, adjust, agree What are we building? Who are the joint customers? What will the announcement be? Where? When? Implementation Joint development Building POCs/demos etc This is typically 4-6 weeks Deliver market impact Jointly present demo/POC outcome at conference Press release around outcome Hand off to industry specific offering management team/platform team Identify repeatable patterns – forward to appropriate team to continue to nurture the relationship and address via new/enhanced offerings to market Identify revenue impact (if applicable)