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Gartner Top 10 Strategy Technology Trends 2018
The document discusses several emerging technologies that are contributing to the development of an intelligent digital mesh, including blockchain, event-driven models, continuous adaptive risk and trust approaches, digital twins, cloud to edge computing, conversational platforms, immersive experiences, advanced AI techniques, intelligent applications/analytics, and intelligent things. It notes that the interconnected nature of these trends will exponentially increase market disruption and digital business opportunities through the creation of an intelligent digital mesh.
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Gartner Top 10 Strategy Technology Trends 2018
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- 3. Blockchain Event Driven Model ContinuousAdaptive Risk and Trust Digital Twin Cloud to the Edge Conversational Platforms Immersive Experience AI Foundation IntelligentApps and Analytics Intelligent Things Intelligent Digital Mesh
- 4. Intelligent By 2020 30% ofCIOs will include AI in their top five investment priorities. 30% of new development projects will haveAI components delivered by joint teams of data scientists and programmers.
- 5. Artificial Intelligence Timeline MachineLearning Algorithms focused on a specific problem that provides insights. 1960's 1970's 1980's 1990's 2000's 2010's 2020's Unknown AI Foundation: AI Has a Long History General AI Applies intelligence to any problem (near-human-level intelligence). Supervised Learning Unsupervised Learning Reinforcement Learning AI Research Initial AI concepts NarrowAI GeneralAI Deep Learning
- 6. Packaged Software orService Platform Services & Models as a Service Algorithm & Model Creation Analytics User Experience Processes What it Impacts How You Will Get it AI Foundation: Exploiting the Foundation for Business Value Professional Services
- 7. Apps& AnalyticsThings Intelligent Apps andAnalytics: ML and AI Are Everywhere Consumer Appliances Industrial Equipment Medical Devices Robots Drones Autonomous Vehicles Packaged Applications Custom Applications Security and Operations Chatbots Virtual Assistants Advisors
- 8. Augmented Data Discovery andAnalysis Augmented Data Science and Machine Learning §Citizen data scientist explores autogenerated models §End user or application-augmented §Autogenerated models and insights §NLP/NLQ exploration §NLG narration §Specialist data scientist builds and customizes models §Embedded §Assisted model building and customization, tuning, life cycle management Collaboration Is Key; Convergence Will Increase Over Time Intelligent Apps and Analytics: AugmentedAnalytics
- 9. On Kickstarter byPersonal Health 360 Intelligent Apps and Analytics: Engaging Patients with Virtual Assistants Augment People with Intelligent Systems for Maximum Impact Machine Learning Natural Language Virtual Assistant Chatbots
- 10. Consumer Things AutonomousThingsRobot Things Flying ThingsHealthcare Things Intelligent Things: Robots, Drones & Autonomous Vehicles
- 11. Intelligent Things: SwarmIntelligence for Cooperative Things
- 12. Digital By 2022 The Internetof Things (IoT) will save consumers and businesses $1 trillion a year in maintenance, services and consumables. User perception of and interaction with the digital world will begin to deliver a transparent immersive experience.
- 13. Asset Data Operational Data ContextData Operational Data Local Model Control Enterprise Systems CAD Models FEA Models Physics Based Model Statistical Models ML/AI Models Operational History Maintenance History Aggregate Data External Data Digital Twin Model Metadata Monitor,Analytics Simulation Digital Twin: Digital Representations of Real World Objects
- 14. Digital Twin: DrivingBetter Insights, Decisions, Products Observation OperationOptimization Keep your digital twin as simple as possible, but no simpler than that.
- 15. Who is responsiblefor integration, security, overall functionality? Tech Provider Ecosystem Digital Twin Model Developer Analytics Integration Contextual Data Services Semiconductor Enterprise Ecosystem Component Asset Vendor Asset Vendor Asset Owner Asset Operator Asset Servicer IT/OT Stake holders Digital Twin: A Complex Ecosystem With Conflicting Desires The Enterprise
- 16. Digital Twin: AnEvolving and Expanding Digital Universe
- 17. Status Data Activity Data ContextData Operational Data Distributed Models Control (Process Automation) Internal & External Systems Business Op System DititalOps Models Relationship Models Rules & RPA Models ML/AI Models Transaction Records Process History Approval Logs Aggregate Data Digital Twin: Digital Process Twins Digital Twin Model Metadata Monitor,Analytics Simulation
- 18. Cloud to theEdge: What is old is new again DecentralizedCentralized
- 19. Cloud to theEdge: What is old is new again DecentralizedCentralized Mainframe Green Screen
- 20. Cloud to theEdge: What is old is new again DecentralizedCentralized Mainframe Green Screen PC Server
- 21. Cloud to theEdge: What is old is new again DecentralizedCentralized Mainframe Green Screen Central CloudBrowser PC Server
- 22. Cloud to theEdge: What is old is new again DecentralizedCentralized Mainframe Green Screen PC Server Central CloudBrowser Server or Central Cloud Mobile & IoT
- 23. Cloud to theEdge: What is old is new again “I know there is a balance, I see it when I swing past” - John Mellencamp Decentralized Can’t Connect Can’t wait Narrow pipe Can’t Access Can’t Manage Can’t Control Centralized Mainframe Server or Central Cloud Central CloudBrowser Green Screen Mobile & IoT PC Server
- 24. Cloud to theEdge: Three Scenarios Use Cloud as a remote service and/or point of coordination or control for the edge Cloud and Edge are Complimentary Concepts Not Competitive Styles or Architectures Edge Deploy to and run capability at edge w/o cloud style or exploitation of a cloud service Cloud Deploy a central cloud service with no distribution to, knowledge of, or control of the edge
- 25. Cloud to theEdge: Use Cloud Style for Edge Delivery Edge Device Isolated Data Center Enterprise Connected Remote Local Edge Device Cloud Connected Central Cloud Cloud Architected Central Cloud Distributed Cloud Edge Cloud Edge Device Edge Svr Or Gateway
- 26. Edge Router/ Gateway Aggregate, Transform, Filter andForward Enterprise Data Center or Central Cloud Advanced Functionality Analyze and Control Micro Data Center/ Edge Server Cloud to the Edge: Industrial IoT Use Case Asset Asset Asset
- 27. Vehicle CamerasLidar Radar Domain Controller(s) Analytics In-Vehicle Comms Location TechnologiesDigital Maps Infrastructure Central Cloud Data Centre V2X OtherVehicles Proximity Sensors P Cloud to the Edge: Autonomous Vehicle Use Case A B
- 28. Mobile Gateway NFC Pill Heartbeat FitnessWeight Smart Blood Blood Pack Sensor Tracker Scales Watch Pressure Sugar Cloud to the Edge: Consumer Healthcare Use Case Central Cloud
- 29. Conversational Platform: Flippingthe Interaction Model Humans Learn and Adapt to Technology Technology Learns and Adapts to Humans Human System System Human Shifting the UI Complexity
- 30. Conversational Platform: LogicalArchitecture Thing Enterprise apps Mobile apps Data Store Search Engine Cloud Service I/O Channels Conversational Platform Third-Party Services Human System VendorsPlatform Vendors Application Vendors ContextAwareness Integration UserInterface Language Processing Response Generation Intent Handling Exception Handling Analytics/Supervision chat voice type
- 31. MultimodalMultichannel Visual Auditory Smell Heat/ Humidity Location Taste Systems sense and respondto the world through all the human senses as well as senses beyond human ability or experience Touch And More Conversational Platform: One part of the Multichannel, Multimodal Experience
- 32. Project Your ExpertiseExplorea Destination Hands-Free Info Play the Game Plan Your Project Train Your Staff Immersive Experience: User Perception of the Digital World By 2020, the market for HMD devices will exceed 35M devices and generate $75B in revenue.
- 33. Conversational Platform Transparent ImmersiveUser Experience Virtual, Augmented & Mixed Reality Perception and interaction with services Starts with visual & tactile Content Focused Targeted Solutions – Isolated UX as a feature 2022 Access and control services Starts with language Action Focused 2018 Contextual perception and interaction Multiple sensory channels Continuous, State full across mesh connections Facilitates human & machine collaboration Ambient, invisible, and natural 2028 Mesh Solutions – Fluid UX across systems Immersive Experience: Perceiving and Interacting in the Digital World
- 34. Mesh Business, process, andtechnology friction creates barriers and raises cost of building dynamic business ecosystems. By 2020, IT-sponsored information security programs will suffer three times as many significant breaches as those sponsored by business leaders.
- 35. Extended Characteristics Dynamic Behavior ControlledUpdates Controlled Access Alternative Authentication and Validation The Blockchain Ledger Shared & Distributed Decentralized & Tokenized Irrevocable Record Algorithmic-Based Trust Blockchain: Reducing Friction Across The Mesh § Enterprise Ethereum Alliance § Microsoft Coco Framework § IBM Hyperledger Fabric § Vertical Offerings: Banking, Healthcare, Supply chain B
- 36. Blockchain: Many Scenarios §Financial Services leads the way – Digital currencies – increasing acceptance, P2P bonds, Payments, Insurance, Trade Finance § Government coming on strong – Land Registries, Identity Cards, Digital Voting, Electronic Health Records, Tendering Process, Public Archives, Benefit Payments § Other commercial applications – Supply chain optimization and logistics, Asset tracking, Loyalty programs, Media tracking, Provenance, Medical records, IoT management, Virtual staging, Tenet acquisition & selection, Property management
- 37. § Few large-scale deployments §Misguided efforts and vanity projects § Using blockchain when not required § Blockchain promise exceeds technology reality Blockchain: Significant Barriers Remain From "Hype Cycle for Blockchain Business, 2017," 10 August 2017 (G00332628)
- 38. Events Digital Business Ecosystems BusinessMoments Modern User Experiences Agile IT and Business Solutions Internet of Things and Digital Twin MASA, Microservices, Serverless Event Driven: Forces Driving Adoption of Event-Driven IT By 2020, participation in 80% of new business ecosystems will require support for event processing.
- 39. Order Received Business Monitor Dashboards E-Commerce Site Event-Driven Model App Marketing Promotion Order Received EH Event-Driven: AddressRequest-Driven Limitations for Agility, Flexibility and Scale Request-Driven Model Call Svc. App Svc. Svc. Svc. Svc. Svc. Svc. Svc. Call Call CallCall Call Call Call — Service —Application — Event HandlerSvc. App EH Fraud Control Fulfillment Billing Marketing Event Broker App Svc. Reseller
- 40. Sense Notify Fluid Unscheduled Unstructured Flexible Action-Centric Event-Centric EngageImplement Rigid Orchestrated Structured Controlled Data-Centric Request-Centric Event-Driven: Request and Event-Driven Are Complimentary First-Class Citizens
- 41. Continuous Adaptive Riskand Trust: Constant, Near-Realtime, Dynamic Respond Detect Predict Prevent Policy Users Applications Systems System activity oadPayl Network sDevSecOpNetwork Security Policy Mgt. erimeterSW Defined P Deception Techn ologies Compliance By 2020, 25% of new digital business initiatives will adopt a CARTA strategic approach, up from less than 5% in 2017.
- 42. Create Verify Plan Preproduction Prevent Detect Predict Respond OpsDev Monitoring &Analytics ContinuousAdaptive Risk and Trust: DevSecOps Sec Monitoring &Analytics
- 43. Four Styles ofDeception — The Deception Stack Network Endpoint Application Data Lower Higher Deceit Difficulty Continuous Adaptive Risk and Trust: Deception Technologies Threat Actor Alerts Lures and Breadcrumbs Real Assets Decoys Threat Detection and Response Traditional Monitoring Tools (SIEM, IDS, Etc.) Honeytokens
- 44. Blockchain Event Driven Model ContinuousAdaptive Risk and Trust Digital Twin Cloud to the Edge Conversational Platforms Immersive Experience Advanced AI Techniques IntelligentApps and Analytics Intelligent Things Intelligent Digital Mesh
- 45. The Interconnectedness OfStrategic Technology Trends Creates an Exponential Increase In Market Disruption and Digital Business Opportunity Intelligent Digital Mesh