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.

2. Intelligent Mesh
Insightful
Aware
Autonomous
Immersive
Dynamic
Secure
Digital

3. Blockchain
Event Driven Model
Continuous Adaptive
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% of CIOs 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
Machine Learning
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 or Service
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 and Analytics: 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
and Analysis
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 by Personal 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 Autonomous ThingsRobot Things
Flying ThingsHealthcare Things
Intelligent Things: Robots, Drones & Autonomous Vehicles

11. Intelligent Things: Swarm Intelligence for Cooperative Things

12. Digital
By 2022
The Internet of 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
Context Data
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: Driving Better Insights, Decisions, Products
Observation
OperationOptimization
Keep your digital twin as simple as possible, but no simpler than that.

15. Who is responsible for
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: An Evolving and Expanding Digital Universe

17. Status Data
Activity Data
Context Data
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 the Edge: What is old is new again
DecentralizedCentralized

19. Cloud to the Edge: What is old is new again
DecentralizedCentralized
Mainframe
Green
Screen

20. Cloud to the Edge: What is old is new again
DecentralizedCentralized
Mainframe
Green
Screen PC Server

21. Cloud to the Edge: What is old is new again
DecentralizedCentralized
Mainframe
Green
Screen
Central
CloudBrowser
PC Server

22. Cloud to the Edge: What is old is new again
DecentralizedCentralized
Mainframe
Green
Screen PC Server
Central
CloudBrowser
Server or
Central
Cloud
Mobile
& IoT

23. Cloud to the Edge: 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 the Edge: 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 the Edge: 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
and Forward
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
Other Vehicles
Proximity
Sensors
P
Cloud to the Edge: Autonomous Vehicle Use Case
A
B

28. Mobile
Gateway
NFC
Pill Heartbeat Fitness Weight Smart Blood Blood
Pack Sensor Tracker Scales Watch Pressure Sugar
Cloud to the Edge: Consumer Healthcare Use Case
Central Cloud

29. Conversational Platform: Flipping the 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: Logical Architecture
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 respond to 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 ExpertiseExplore a 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 Immersive User 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, and technology 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
Controlled Updates
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
Business Moments
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: Address Request-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
Engage Implement
Rigid
Orchestrated
Structured
Controlled Data-Centric
Request-Centric
Event-Driven: Request and Event-Driven Are Complimentary First-Class Citizens

41. Continuous Adaptive Risk and 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
Continuous Adaptive Risk and Trust: DevSecOps
Sec
Monitoring
&Analytics

43. Four Styles of Deception — 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
Continuous Adaptive
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 Of Strategic Technology Trends
Creates an Exponential Increase In Market Disruption
and Digital Business Opportunity
Intelligent Digital Mesh