The Top 10 Strategic Technology

Trends for 2019

Asle Kjetil BratteliVice President

Executive Programs, Nordics

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Tracking Disruptive Trends

Time

Gro

wth

Emerging Growth Mainstream

Disruption

Clarified

and StartingDisruption

Uncertain

Disruption

Happening

or Happened

Strategic

Technology

Trends

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Intelligent Digital Mesh

Augmented Analytics Empowered Edge

Autonomous Things Digital Twin

AI-Driven Development Immersive Experience

Blockchain

Smart Spaces

Quantum Computing

Privacy and Ethics

The Top 10 Strategic Technology Trends for 2019

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Autonomous Things

By 2021,

10% of new vehicles

will have autonomous

driving capability,

compared with less

than 1% in 2017.

1

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A Framework for Assessing Autonomous Things

Types:

Vehicles Drones AppliancesRobotics Agents

Capability Coordination Intelligence

With Varying Levels of:

Applied Across All Environments:

Sea Land Air/Space Digital

1

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Autonomous Things With Varying Levels

Capability Coordination Intelligence

• Human-Assisted

• Partial Automation

• Conditional Automation

• High Automation

• Full Autonomy

• Isolated

• Independent

• Connected

• Collaborative (Swarms)

• Dumb and Static

• Semismart and Dynamic

• Individually Smart

and Dynamic

• Collectively Smart With

Dynamic Hive Interaction

1

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Augmented Analytics

Through 2020, the

number of citizen data

scientists will grow

five times faster than

the number of expert

data scientists.

2

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Automated Data Science to Assist

Business Users

Citizen

Data

Scientist

AI Data Preparation:

• Algorithms detect schemas, profile and catalog

• Determine data lineage, metadata and recommend enrichment

AI Insight Generation:• Natural language query

• Algorithms find relevant patterns

• Features and models autoselected

• Hypotheses and code autogenerated

AI Human Assistance:

• Natural language narrated insights

• Autogenerated visualizations

• Results embedded in apps

2

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Finding Unknown Correlations for Crop Yield —

in Seconds

Source: SparkBeyond

2

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AI-Driven Development

By 2022,

at least 40% of new

application development

projects will have

artificial intelligence co-

developers on their team.

3

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Exploiting AI in the Development Process 3

AI Services*Vision

and Image

Speech

and

Language

Knowledge EmpathyCustom

ModelsConversation

AI PlatformsMachine Learning

on AWS

Microsoft Azure’s

Machine Learning

Google Cloud’s

Machine Learning

Engine

IBM Watson

AI Frameworks TensorFlow Torch TheanoApache

MXNet

Eclipse

Deeplearning4jscikit-learn

AI Infrastructure AWS LambdaIBM

Cloud Functions

Google Cloud

Platform

Microsoft

Azure’s AI

*Specific Vendor Services Vary

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Source: Gartner 2018

Digital Twin

24% of Enterprises

Implementing IoT

Projects Are Using

Digital Twins

• Asset Data

• Operational

Data

• Context Data

• Operational Data

• Local Model

• Control

Models, Data, Monitor,

Analysis, Simulation

4

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Digital Twins Drive Digital

Business Opportunities

Maintenance and Reliability*

Business Process/Asset Optimization

Monetization of Data, Models

Research and Development

New Business Models

*Maintenance and Reliability Ranked No. 1 and 2

Source: “Survey Analysis: Progressing to a Digital Business Future Through IT/OT Transformation,” (G00292443)

4

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Beyond Digital Twins of Things

Digital Twin of an organization is a dynamic

software model of any organization that relies

on operational and/or other data to understand

its state, respond to changes, improve

operations and add value.

It includes a combination of …

Metadata

Situation

Analytics

Models

Event Data

4

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Empowered Edge

Storage, computing

and advanced AI and

analytics’ capabilities

will expand the

capabilities of edge

devices through 2028.

5

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Intelligence and More at the Edge

Typical

Asset Life

Asset Type

Capabilities

Extending Asset

(Current Focus

vs. Future Addition)

Edge Computers

• Mobile

• Notebook

• PC

• Printers

• Scanners

1 to 5 Years

Local compute,

storage moving to add

specialized AI chips

and more sensors

Edge I/O

• Speakers

• Screens

• Cameras

• Sensors

• Light Bulbs

3 to 10 Years

Simple I/O focused

“dumb” devices

moving to add

sensors and local

compute and storage

Complex

Embedded Edge

• Automobiles

• Tractors, Cranes

• Drones

• Ships

• Locomotives

3 to 20 Years

Complex devices with

many existing

computing elements

adding functionality

and creating a local

“network” at the edge

Simple

Embedded Edge

• Industrial Equipment

• Consumer

Electronics

• Appliances

5 to 20 Years —

Consumer

10 to 40 Years —

Industrial

Devices with sensors

and actuators

moving to add local

compute and

storage and more

advanced sensors

5

The edge has many parts with different life cycles creating complex and ongoing

management and integration challenges

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Immersive Experience

By 2022,

70% of enterprises will

be experimenting with

immersive technologies

for consumer and

enterprise use, and

25% will have deployed

to production.

6

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Humans Learn and Adapt to Technology Technology Learns and Adapts to Humans

Human System System Human

Shifting the UI

Flipping the Human/Machine Dynamic

Source: https://www.flickr.com/photos/wocintechchat/25720834170

6

Complexity

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How We Interact With the Digital World

Is Changing

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EyeTracking

PositionTracking

ManyMore …

Voice

Gesture

Emotion

6

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Blockchain

Blockchain Will

Create $3.1T in

Business Value

by 2030.

7

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Public BCPreBC Public, Private, Hybrid, Consortia BC Programmable Economy Based on BC

2009 2012 2016 2020 2022 2025

BC Enabling

BC Phase 2: Inspired

BC Phase 3: Complete

BC Phase 4: Enhanced

BC Phase 1: Testing

Blockchain Exists Across a Spectrum

of Capabilities

2018

7

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Smart Spaces

Smart spaces are physical

or digital environments

populated by humans

and enabled by technology

which are increasingly

connected, intelligent

and autonomous.

8

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Smart Spaces — Smart Cities 8

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Smart Spaces Maturity Model

• Open

• Connected

• Coordinated

• Intelligent

• Ecosystem

Phase 4

Intelligent

Environments

8

• Open Externally

• Connected

• Coordinated

• Semi-intelligent

• Organization

Phase 3

Coordinated

Systems

• Open Internally

• Connected

• Integrated

• Not Intelligent

• Department

Phase 2

Connected

Systems

• Closed

• Not Connected

• Not Coordinated

• Not Intelligent

• Team

Phase 1

Isolated

Systems

Openness:

Connectedness:

Coordination:

Intelligence:

Scope:

24 © 2019 Gartner, Inc. and/or its affiliates. All rights reserved. Gartner is a registered trademark of Gartner, Inc. and its affiliates.Source: “Hype Cycle for Privacy, 2018,” 17 July 2018 (G00338717)

Digital Ethics and Privacy

By 2021,

organizations that focus only

on compliance risk and are

caught lacking in privacy

protection will pay 100%

more in compliance cost

than best-practice-adhering

competitors focused on

digital ethics.

9

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The Evolving

Patchwork of

Privacy Laws

Comprehensive Data Protection Law Enacted

Pending Bill or Initiative to Enact Law

No Initiatives or No InformationDavid Banisar

January 2018

9

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Move From Compliance-Driven to Ethics-Driven to

Discern ‘Right’ From ‘Wrong’ and to Create Value

Values: Ultimately, there is only one

question left: What do I believe myself is

the right thing to do? “It may be possible,

it may be allowed, but do we want it?”

Difference: Is digital ethics part of

our value proposition? Can we make

a difference?

Risk: Is there reputation risk, or are we

harming others?

Compliance: Are we breaking any rules?

Hierarchy of Intent

Internally

Driven

(Achievement)

Externally

Driven

(Avoidance) Mind Compliance

Mitigate Risk

Make a Difference

Follow Your Values

9

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Quantum Computing

By 2023,

20% of organizations

will be budgeting for

quantum computing

projects compared

to less than 1% today.

10

Source: https://www.istockphoto.com/photo/super-quantum-computer-gm505622446-83765311?st=ea85a3a

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Quantum Computing — Key Use Cases

*In order of complexity

Postquantum

Cryptography

1Optimization

Problems

2Material

Science

3Chemistry

4Personalized

Medicine

5Biomimetics

Key

Applications*

10

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Intelligent Digital Mesh

Augmented Analytics Empowered Edge

Autonomous Things Digital Twin

AI-Driven Development Immersive Experience

Blockchain

Smart Spaces

Quantum Computing

Privacy and Ethics

THE SECRET TO DIGITAL IS ANALOG

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