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IBM Watson IoT Portfolio A quick look at our Toolbox for IoT Branko Tadić, Enterprise Solution Consultant, IBM Cloud CEE [email protected] IBM’s contribution to the World eBusiness 2 3 IBM contributions to Open Source: 18 years & counting 1999 - 2001 2002 - 2005 2006 - 2009 2010 - current https://developer.ibm.com/code/openprojects/ ▪Contributions for Linux on Power, ▪IBM forms Linux ▪Linux contributions to ▪Linux contributions to kvm, oVirt, & Technology Center scalability (8-way+), usability, security certifications support Open Virtualization Alliance reliability (stress testing, ▪Contributes to Apache Shindig ▪Leads Apache projects defect mgmt, doc) ▪Leads Apache projects Tuscany (SCA Xerces, Xalan, SOAP standard), OpenJPA, UIMA ▪Supports Apache Hadoop (Big Data) ▪Leads Apache projects in – part of IBM BigInsights ▪Starts ICU project Web Services ▪Contributes to Eclipse Higgins ▪Eclipse: Orion (web-based tooling), ▪Creates OSI-approved ▪Leads Eclipse projects ▪Partners with Zend PHP Lyo (OSLC), Paho (M2M protocols) IBM Public License GEF (editing), EMF (modeling), XSD/UML2 ▪Announces OpenJDK involvement ▪Strategic participation ▪Accessibility code to Firefox (XML Schema), Hyades ▪Contributes to Apache Cordova (fka in Mozilla (testing), Visual Editor, ▪IBM starts OpenAjax Alliance and PhoneGap) (mobile app framework) AspectJ, Equinox (OSGi ▪IBM becomes founding joins Dojo Foundation bundles) ▪Starts Dojo Maqetta (RIA tooling) member of OSDL ▪Eclipse Foundation, Inc. ▪IBM joins OpenOffice.org & creates ▪Leads Apache OpenOffice ▪Founder of Eclipse.org becomes independent ODF Toolkit Union & Eclipse Consortium ▪OpenStack: platinum sponsor of ▪Pledged 500 patents to ▪IBM joins Open Health Tools, merging independent Foundation; over 140 ▪Creates internal open source code from Eclipse OHF contributors bazaar using OSS methodology ▪Contributes to Mozilla Bespin (web ▪Increase OSS projects & visibility at ▪Starts Apache Derby editor) & WebKit (browser engine) database, supports JazzHub and GitHub Geronimo app server ▪Lead Apache Aries (OSGi Enterprise) ▪Contributes to Cloud Foundry More than 1000 IBM developers IBM leads 80+ OSS projects IBM contributes to 150+ involved in OSS projects OSS projects IBM Watson IoT Platform Make sense of data to optimize operations, manage assets, rethink products and services, and transform customer experience. Connect Connect and manage devices, networks and gateways. Analytics Gain insights from information using real-time streaming as well as machine learning and cognitive analytics in the ANALYTICS cloud and at the edge. Risk Management Visualize the IoT landscape, manage risk, and build trusted INFORMATION sources of IoT data with innovative technology such as CONNECTION blockchain. MANAGEMENT Information Management Integrate information, structured and unstructured, from devices, people, the weather and the world around us. 4 IBM Watson IoT Platform Connect Connect your devices, equipment, and workforce to ANALYTICS RISK MANAGEMENT gain a new level of insight into •Real-time •Proactive Protection •Machine Learning •Security Analytics your business •Cognitive •Anomaly detection •Edge • Secure Connectivity INFORMATION CONNECT MANAGEMENT • Device Management •Store & Archive •Transform & Integrate • Visualization •Augment •Weather 5 5 IBM Watson IoT Platform - Connect and manage your IoT devices & gateways • Open standards based communications (MQTT, HTTPS) • Secure communication (TLS) • Globally scalable starting with a single device • Fully integrated Gateway support • Broad and growing device ecosystem 6 IBM Watson IoT Platform Integrated device management • Manage via dashboard or Location Update programmatic APIs Factory • Action device management Reset functions on thousands of devices Firmware at a time Reboot Download • Create your own custom device management commands Firmware Update 7 IBM Watson IoT Platform Information Management Identify, aggregate, and transform data from your IoT ANALYTICS RISK MANAGEMENT sources into asset-based data •Real-time •Proactive Protection •Machine Learning •Security Analytics structures. •Cognitive •Anomaly detection • Store and Archive •Edge • Transform and Integrate CONNECT INFORMATION •Secure connectivity •Device management MANAGEMENT • Augment with Weather & •Visualization Unstructured data 8 8 Information Management • Built in last event cache Always have access to the last reading whether device is on or offline • Fully managed NoSQL JSON document store built for high integrity and high performance • Internet scale buffering between the IoT Platform and your chosen storage service, IBM Message Hub® with bridge to other Bluemix services, such as IBM Object Store 9 Information Management New Services Capabilities Device Abstraction Define your own APIs to insulate applications from variability across device types, sensor models, variants and versions Example: Different models and brands of temperature sensor represented by a single common API Aggregation into Things Aggregate multiple devices into logical objects so they can be managed as a single Thing Example: Several different sensors represented as a single boiler object 10 IBM Watson IoT Platform Risk Management Manage risk and gather insights across your entire IoT landscape. ANALYTICS •Real-time RISK •Machine Learning MANAGEMENT • Proactive Protection •Cognitive •Edge • Security Analytics • CONNECT INFORMATION Anomaly Detection •Secure connectivity MANAGEMENT •Device management •Store & Archive •Visualization •Transform & Integrate •Augment •Weather 11 11 Risk Management & Policy Dashboard Your single perspective on IoT risk exposure • Implement and accumulate reusable checks to identify device compromise and malicious events • Protect against threats to the IoT environment with blacklists, whitelists and device behaviour thresholds • Maintain platform resilience by acting on alerts automatically 12 IBM Watson IoT Platform Analytics Leverage a host of cutting edge cognitive tools to gain a deeper understanding of your structured and unstructured data. RISK MANAGEMENT ANALYTICS •Proactive Protection •Security Analytics • Real-time •Anomaly detection • Machine Learning • Cognitive Natural Language, CONNECT INFORMATION •Secure connectivity MANAGEMENT Text, Video and Image •Device management •Store & Archive •Visualization •Transform & Integrate Analytics, Machine Learning •Augment •Weather • Edge 13 13 IBM Watson IoT Platform - Analytics Add cognitive capabilities to IoT data to produce new insights and intelligence Real-time Analytics Cognitive • Rule-based analytics and actions built in • Watson API families allow easy integration to the platform of cognitive analytics into IoT apps • Easy to use interfaces that drive • Natural human interaction, learning from automation of prescribed actions historical data, analysis of image and contextual data sources, analytics, and insights Machine Learning • Integrated IBM Predictive Maintenance Edge Analytics and Quality and Watson Machine Learning • Single click deploy of RTI rules from services Cloud to Edge • Visibility of usage and operating • Open SDK extending gateway choice conditions based on environment • Analysis of device data using IBM Data Science Experience to build custom analytics for your assets 14 Watson IoT Platform Analytics: Real-Time Insights • Rules and action oriented analytics, built in to the platform • Business user oriented interface • Drive automation to take appropriate, prescribed actions Watson IoT Platform: Edge Analytics Reduce data feeds, make local decisions, work disconnected • Single click deploy of RTI rules from cloud to Edge • New open SDK extending gateway choice How is IBM Watson IoT Platform different? Industry Leading Analytics Unmatched Scale and Scope Most Trusted IoT Platform Enterprise-ready • Watson-inside – machine • Global data centers – 40+ data • Device neutral – IBM does not components to learning and cognitive centers across the globe compete with its sensor, gateway, connect, secure, network, and processor partners provide data insight, • Industry models – deep, • Low latency and high assemble and industry-specific analytics models throughput at enterprise scale • Built on open standards manage IoT Applications • Third party data sources – • Hybrid delivery form factors... • Data neutral – IBM’s business model leading the industry at partnering public cloud, dedicated cloud, on does not depend on owning its with outside data providers (e.g. premise customer’s data Weather Company) • Bluemix and Softlayer – built to • Privacy protection and access control • Industry Integrations – easily work on IBM’s core cloud push and pull data from leading offerings but also deliver the • Platform of Platforms – IBM is industry solutions, both IBM’s and transactional scale required by the committed to integrating with other its partners’ new world of IoT leading platforms so customers are not forced to chose proprietary tech stacks • IoT specific security – security micro- The Weather Company APIs and data services built specifically for IoT-based IoT Platform integrated with Blockchain solutions 17 A brief Platform Showcase Example 1 – Turn your Mobile into an IoT device http://discover-iot.eu-gb.mybluemix.net/#/play 19 IoT Platform Starter on Bluemix IoT Platform Starter Boilerplate 21 NodeRed 22 Management Portal 23 Extensions 24 Example 2 – Quick Walkthough of IoT Starter www.bluemix.net 25 IBM Watson IoT Industry Solutions IBM Watson IoT and Industry Innovation Enabling new business models with
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