Autonomous
Things
Augmented
Analytics
AI-Driven
Development
Empowered
Edge
Blockchain
Smart
Spaces
Intelligent
Digital
Mesh
Immersive
Experience
Digital
Twins
Digital Ethics
and Privacy
Quantum Computing
On the land with autonomous vehicles,
in the air with drones and even on the sea with autonomous shipping, autonomous things use
AI to perform tasks traditionally done by humans.
And it isn’t just across hardware systems.
In the digital world, intelligent agents are set
to work on our behalf.
Virtually every application, service and Internet
of Things (IoT) object (including industrial equipment and consumer appliances) will exploit some form of AI to augment processes or human actions to deliver advanced behaviors that interact more naturally with their surroundings.
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Autonomous Things
A big shift is happening here, as perceiving and interacting with the digital world evolves from “technology-literate people” to “people-literate technology.”
By 2022, 70% of enterprises will be experimenting with immersive technologies for consumer and business use, and 25% will have deployed to production.
Conversational platforms, such as virtual personal assistants (VPAs), virtual customer assistants (VCAs) and chatbots, will use expanded sensory channels allowing the detecting of emotions through facial expressions.
Virtual reality, augmented reality and mixed reality technologies show potential for increasing the productivity of remote workers, manufacturing or warehousing, training and design visualization, and the provision of hands-free information.
Immersive Experience
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Digital Twins
Digital twins mirror real-world objects, processes or systems. Airlines and heavy equipment manufacturers are already using them to monitor assets and lower maintenance, repair and operations costs.
Driving increasing interest is how digital twins in the context of IoT projects could greatly improve a business’s decision making by providing:
• Information on maintenance and reliability
• Insight into product performance
• Data about new products
• Increased efficiency
Blockchain
Blockchain has the potential to lower costs, reduce transaction settlement times and improve cash flow, and is on target to create $3.1 trillion in business value by 2030.
Because a blockchain distributed ledger is independent of individual applications and potentially operating across companies, it reduces both business and technology friction.
Beginning in finance, blockchain applications have expanded to government, healthcare, manufacturing, supply chain and other industries.
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Augmented Analytics
The rising amount of data available to analyze makes exploring all options impossible. Users typically default to their own biased hypotheses, missing key findings, drawing incorrect or incomplete conclusions, and adversely affecting business decisions.
So it isn’t surprising that by 2020, more than 40% of data science tasks will be automated.
Augmented analytics, the third wave of data and analytics capabilities, uses automated algorithms to run down more hypotheses and identify hidden patterns, removing personal bias.
Citizen data science is emerging to meet the shortage of expert data scientists, with their number growing five times faster through 2020. Businesses will look to these citizen scientists as a way to fill the talent gap.
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Empowered Edge
Microsoft, Google and Amazon are all doing
it — using cloud architectures to deliver and manage capabilities out to the edge.
Expect a steady increase in the embedding of sensor, storage, compute and advanced AI capabilities in edge devices. Intelligence will move toward the edge in a variety of endpoint devices, from industrial devices to screens, smartphones and automobile power generators.
Communication technologies like 5G are also ramping up and will drive edge computing.
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Smart Spaces
Advanced digital workplaces. Connected factories. Smart homes. Smart cities.
They’re all smart spaces: physical or digital environments where humans and technology-enabled systems interact in increasingly open, connected, coordinated and intelligent ecosystems.
Smart space delivery is gathering speed as individual technologies emerge from their silos. As systems move to more dynamic coordination, organizations are also applying AI and other technologies to create a much more flexible and autonomous level of coordination among them.
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AI-Driven Development
Embedding AI into applications for use in the development process will make it easier to create AI-enabled systems — with fierce competition in these platforms and services between Microsoft, Google, Amazon, IBM and major Chinese providers.
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Just because we can do something with AI, should we?
Consumers have a growing awareness of the value of their personal information and are increasingly concerned with how it’s being used by public and private entities. Enterprises that don’t pay attention could find themselves in the hot seat.
Though governments are increasingly planning or passing regulations with which companies must comply, we expect more conversations to move from “Are we compliant?” to “Are we doing the right thing?”
Digital Ethics and Privacy
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Solving problems too complex for a traditional approach or where a traditional algorithm would take too long, quantum computing (QC) is already making it possible to quickly derive new drug compounds and segment customers/populations in local governments, airlines, retail and financial services.
Applications in the works include machine learning, route optimization, image analysis, biochemistry, materials science and code breaking.
There’s no doubt that a commercially available, affordable and reliable QC product or service could transform an industry.
Quantum Computing
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Back to top
How will the IDM affect your business?
Find out at
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AI-powered solutions are expanding from targeting data scientists to targeting professional developers.
Tools to build these solutions are being empowered with AI capabilities that assist developers and automate their tasks.
AI-enabled tools are being enhanced with business domain expertise and automating activities higher on the application development process stack.
Join the conversation with #GartnerSYM,
and visit
20 – 24 October 2019, Orlando, FL
Source: Gartner
The future will be characterized by smart devices delivering increasingly insightful digital services everywhere. We call this the intelligent digital mesh (IDM).”
This year’s top trends are all about building the IDM, key to supporting the next chapter in the digital story: a ContinuousNext strategy for winning in a world that’s constantly changing.
David Cearley, Distinguished VP Analyst,
Gartner Research & Advisory
“
Top 10 Strategic
Trends for 2019
gartner.com/us/symposium.