Technology Trends for 2019 and Beyond

A part of Nordic IT group EVRY
1
November 5, 2018
For 2019 and Beyond
Technology
Trends Analysis
November 20, 2018

2
Market
Overview

3
Market Overview
Executives are expecting that
digital will bring:
• Unique customer experience
• Actionable insights
• Innovations
Only
16%
of executives believe their talent pool has
the capabilities to deliver their digital
strategy
72% of outsourcing is provided in IT area
Half of respondents doubt their management has
a clear understanding of AI
50% of survey respondents expect to have
invested in AR/VR by 2020
40% of executives expect to start investing in
blockchain by 2020

4
Industries influenced by technologies
Real Estate Consumer business
Financial Manufacturing
Automotive Energy
Healthcare Government
Education Telecom Media
Source: Deloitte

5
Current
situation insights
• Increased investments in technologies implementations
• New business models
• Work on the operational efficiency
• Technology management
• Value of data
• Customer centricity
• Combination of technologies and cross-industries
partnerships for new customer’s benefits
• Rebuilding the workforce and creating the digital workplace
• Regulatory rethinking
• Security and privacy become a #1 priority
Source: Deloitte

6
Digital
Trends

7
Tech Trends Today
• AI
• IoT
• Security
• Big Data
• Mobile Apps
Development
• AR/VR
• RPA: Robot Process
Automation
• Blockchain
• Automotive
• Business Intelligence
• Cloud Computing
• Service Desk
Source: Deloitte

8
Artificial Intelligence (AI)
• Intensive development of AI in the past few years
• Huge interest of companies in technology
and its marsh to the commercial use
• Main focus on its implementation
to keep the business processes up to date
• Deep learning improvement
• AI already merged with lots of other emerging technologies
(automotive, IoT etc.)
Source: Quora.com

9
Internet of Things (IoT)
• Top-of-mind technology over the last few years
• The mass adoption of IoT platforms: Many companies are
already leveraging IoT technology and many others are
ramping up their efforts.
• The industrial IoT is the biggest business opportunity.
• Major security challenges in IoT solutions
Source: Forbes

10
Cyber Security
• Up to 5,000 average number of security alerts
• SMBs as the main focus of attacks becoming a launch pad
for bigger campaigns
• The most popular attacks are target attacks against person,
advanced malware the world hasn’t seen before,
ransomware.
• Cloud as an option to strengthen security efficiency
• New technologies as a new way to embrace cyber
technology (e.g. Machine Learning as security help)
• Security outsourcing as a better option for SMBs
Source: Cisco

11
Big Data / Data Science
• Strong connection with other emerging technologies
(e.g. AI and ML)
• Data warehouse optimization remains the top use case
for big data.
• Prevailing trend among enterprises is to move to
cloud-based analytics in the nearest time.
• Data privacy and security concerns
Source: Forbes

12
Mobile Apps Development
• Demand for App Dev at all times is high (Mobile-first)
• Excessive development time
• Backlogs remain stubbornly high
• Slow returns from Agile and DevOps investments
• Customer centricity is on the rise.
• Low-code is becoming mainstream.
Source: Outsystems: The state of application development

13
Augmented Reality (AR) /
Virtual Reality (VR)
• AR goes on with active implementation in our everyday life
(e.g. AR applications for retail).
• Increasing software development for common usage
• Continuous investments, development
and further R&D activities of big plyers
(Samsung, Microsoft, Google, Amazon, etc).
• Ongoing adoption of commercial
and enterprise solutions using AR devices
Source: Adage.com

14
RPA: Robot Process
Automation
• The market is still nascent.
• Capturing inputs from diverse formats is still a problem.
• Integration with other emerging technologies
to solve such problems as processing unstructured data
• Frequent changes in business rules
and operating procedures
• Industry standards are still being developed.
• RPA initiatives are being adopted in pockets.
• Narrow scope of services where
RPA may be implemented
Source: Mindfields

15
Blockchain
• Blockchain technology is still in its infancy.
(Blockchains are slow, user unfriendly, unscalable,
and expensive)
• Enterprise Blockchains focus on private or
consortium-based blockchain implementations
• Raising capital
• Increased government and regulatory involvement
Source: Infoq.com

16
Autonomous Driving
• The technology is still under development.
• Companies go on testing self-driving vehicles
building the enough number of vehicles.
• Safety of others is still a challenge.
• The issue with cars driven by humans
• The problem with signs recognition
• Ownership system issues
Source: Poketnow.com

17
Business Intelligence
• Executive Management, Operations, and Sales are the
three primary roles driving Business Intelligence (BI)
adoption.
• Dashboards, reporting, end-user self-service, advanced
visualization and data warehousing are the highest priority
investment areas for companies.
• Small organizations with up to 100 employees have the
highest rate of BI penetration or adoption.
• Sales, Marketing and Executive Management have the
highest level of interest in dashboards and advanced
visualization.
Source: Forbes

18
Cloud Computing
• Increased popularity among small and large businesses.
• Multi-cloud is the preferred strategy among enterprises.
• More enterprises are prioritizing public cloud.
• Serverless is the top-growing extended cloud service.
• Significant wasted cloud spend makes optimizing costs the
top initiative.
• Azure continues to grow quickly and reduce the AWS lead,
especially among enterprises.
Source: Rightscale.com

19
Service Desk
• Today’s Service Desk is about
“doing more with less”.
• Employee experience consideration
to improve employees productivity
• Proactive approach as a core
• The more automated processes – the better
Source: one.comodo.com

20
Technology Trends Transformation
In 2019 and Beyond
Source: Gartner
• Autonomous Things
• Augmented Analytics
• AI-Driven Development
Intelligence
• Digital Twins
• Empowered Edge
• Immersive Experience
Digital
• Blockchain
• Smart Spaces
Mesh
Privacy and Ethics
Quantum Computing

21
Gartner About Technology
Trends Transformation [VIDEO]
Click to play video

22
Autonomous Things
Today all autonomous solutions are closely
related to AI to be able to interact more
naturally with the environment. Autonomous
things are represented as:
• Robotics
• Vehicles
• Drones
• Appliances
• Agents
59%
of organizations
are still preparing to
build their AI strategies.
Source: Deloitte

23
Augmented Analytics
Today, Bid Data definition transformed into the
Enormous Data, and now we are talking about
receiving data flows from anywhere –
connected sensors that measure nearly
everything.
Data scientists face not only the problem of data
collection and storage, but have to solve the challenge of
its analysis.
Augmented analytics becomes a new wave of data
processing based on data science and machine learning
platforms.
>40%
of data science tasks
will be automated by
2020.
Source: Gartner

24
AI-Driven Development
This trend covers embedding of artificial
intelligence into different applications and
creation of AI-powered tools for such
directions:
• AI-powered tools targeting professional
developer community (AI Platforms and
Services)
• AI-powered tools created to assist professional
developers and automate tasks related to the
development of AI-enhanced solutions
• AI-powered tools targeting business domain expertise
(application development stack).
Product development
area in AI investment research took 5th place
among others taking 23% of voices.
Source: Deloitte

25
Digital Twins
Digital twins became a new format of the well-
known computer design representations of real
world elements, but now it brings a new sense
of digitalization:
• Reflect the models focused on specific
business outcomes support
• Show the real world in real time for monitoring and
control
• Allows to check the application of Big Data
Analytics and AI
• Create the environment for “What-if” scenarios.
26,3 billion
of new IoT devices and connections
are expected by 2020.
Source: Gartner

26
Empowered Edge
Edge computing allows to process the data in
real-time without loosing the time on sending it
to process the data in the cloud. The empowered
edge will be of use in such areas as:
• Enterprises, where the remote data monitoring is vital
for faults monitoring.
• Industries, where edge data processing allows gather
comprehensive information on processes for further
improvements.
• Automated devices for real-time data processing and
transmitting it to other devices.
The global edge computing market is expected to reach
$3.24 billion by 2025
Source: Grand View Research

27
Immersive Experience
Current experience based on artificial
intelligence, augmented, mixed and virtual reality
will result in a new era of customer relationship
management:
• EmoBots – chatbots and intelligent assistants able to
recognize and react to human emotions.
• New level of realism
(AR/VR, IoT and mobile combination)
• Hyper-personalization
(AI, predictive analytics, IoT etc.)
• Instant gratification
By 2022, 70%
of enterprises will be experimenting
with immersive technologies.
Source: Gartner

28
Blockchain
Even still being immature, blockchain is expected
to embrace all industries, and even more:
• The mature ecosystem and national
cryptocurrencies will appear.
• Working business models will be created.
• Blockchain already started integration with IoT and it
will be strengthened further.
• New Blockchain regulations will be implemented.
• All decentralized services will be secured.
Blockchain will create $3.1T in
business value by 2030.
Source: Gartner

29
Smart Spaces
Smart spaces are the physical or digital
environments or ecosystems where humans can
interact with technology-enabled systems. Smart
spaces provide developers with such vital
features:
• Openness
• Connectedness
• Coordination
• Intelligence
• Scope
Source: Gartner

30
Digital Ethics and Privacy
Due to constant technology development, governments
started creating new regulations related to data protection.
The main theme of such regulations became digital ethics,
namely:
Source: Gartner
• Security
• Cybercrime
• Privacy
• Social
• Interaction
• Governance
• Free will
• Society and economy

31
Quantum Computing
It is expected that in 5 years quantum computing will
become a mainstream and ease such processes as:
• Weather and climate modeling
• Personalized medicine predictions
• Space exploration
• Fundamental sciences boost
• Machine learning
• Encryption
• Real-time language translation
Source: Gartner

32
Recommendations
• Create new business value
and models basing on technologies synergy
• Pay attention to automation
• Prepare to sustained data growth
• Focus on customer experience
• Digitalize the employees’ workplaces
• Stay compliant
• Protect the data and privacy
• Improve capacities in AI, Data Science,
AR/VR/MR, IoT and Blockchain technologies
Source: Deloitte

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