Top Ten Strategic Technology Trends for 2019 | Technology Zune

Blockchain, quantum computing, increased analytics and computing can drive disruption and new business models.

Although fantasy might depict AI robots because the dangerous guys, some technical school giants currently use them for security. corporations like Microsoft and Uber use Knightscope K5 robots to patrol parking heaps and enormous outside areas to predict and forestall crime. The robots will scan license plates, report suspicious activity and collect knowledge to report back to their homeowners.

These AI-driven robots area unit only one example of “autonomous things,” one among the Gartner high ten strategic technologies for 2019 with the potential to drive important disruption and deliver chance over consecutive 5 years.

“The future are characterised by sensible devices delivering progressively perceptive digital services everyplace,” same David Cearley, Gartner Distinguished vice chairman Analyst, at Gartner 2018 Symposium/ITxpo in Orlando, Florida. “We decision this the intelligent digital mesh.”

Intelligent: however AI is in nearly each existing technology, and making entirely new classes.
Digital: mixing the digital associated physical worlds to make an immersive world.
Mesh: Exploiting connections between increasing sets of individuals, businesses, devices, content and services.
“Trends below every of those 3 themes area unit a key ingredient in driving an eternal innovation method as a part of the continual next strategy,” Cearley same.

The Gartner high ten Strategic Technology trends highlight dynamical or not nevertheless well known trends that may impact and rework industries through 2023.



Trend No. 1: Autonomous things
Whether it’s cars, robots or agriculture, autonomous things use AI to perform tasks historically done by humans. The sophistication of the intelligence varies, however all autonomous things use AI to move a lot of naturally with their environments.

Autonomous things exist across 5 types:

Robotics
Vehicles
Drones
Appliances
Agents
Those 5 sorts occupy four environments: ocean, land, air and digital. all of them operate with variable degrees of capability, coordination and intelligence. as an example, they will span a drone operated within the air with human-assistance to a farming golem in operation utterly autonomously in an exceedingly field. This paints a broad image of potential applications, and nearly each application, service and IoT object can incorporate some type of AI to modify or augment processes or human actions. cooperative autonomous things like drone swarms can progressively drive the longer term of AI systems

Explore the chances of AI-driven autonomous capabilities in any entity in your organization or client surroundings, however detain mind these devices area unit best used for narrowly outlined functions. they are doing not have constant capability as somebody's brain for higher cognitive process, intelligence or general learning.

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Trend No. 2: increased analytics
Data scientists currently have increasing amounts of information to arrange, analyze and cluster — and from that to draw conclusions. Given the number of information, exploring all potentialities becomes not possible. this implies businesses will miss key insights from hypotheses the information scientists don’t have the capability to explore.

Augmented analytics represents a 3rd major wave for knowledge and analytics capabilities as knowledge scientists use automatic algorithms to explore a lot of hypotheses. knowledge science and machine learning platforms have remodeled however businesses generate analytics insight.



Augmented analytics establish hidden patterns whereas removing the private bias. though businesses run the chance of accidentally inserting bias into the algorithms, increased analytics and automatic insights can eventually be embedded into enterprise applications.

Through 2020, the amount of national knowledge scientists can grow 5 times quicker than skilled knowledge scientists. national knowledge scientists use AI supercharged increased analytics tools that modify {the knowledge|the info|the information} science perform mechanically distinctive data sets, developing hypothesis and distinctive patterns within the knowledge. Businesses can look to national knowledge scientists as some way to modify and scale knowledge science capabilities. Gartner predicts by 2020, over four-hundredth of information science tasks are automatic, leading to enlarged productivity and broader use by national knowledge scientists. Between national knowledge scientists and increased analytics, knowledge insights are a lot of loosely obtainable across the business, as well as analysts, call manufacturers and operational staff.

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Trend No. 3: AI-driven development
AI-driven development appearance at tools, technologies and best practices for embedding AI into applications and mistreatment AI to make AI-powered tools for the event method. This trend is evolving on 3 dimensions:

The tools wont to build AI-powered solutions area unit increasing from tools targeting knowledge scientists (AI infrastructure, AI frameworks and AI platforms) to tools targeting the skilled developer community (AI platforms, AI services). With these tools the skilled developer will infuse AI supercharged capabilities associated models into an application while not involvement of an expert knowledge individual.
The tools wont to build AI-powered solutions area unit being sceptred with AI-driven capabilities that assist skilled developers and modify tasks associated with the event of AI-enhanced solutions. increased analytics, automatic testing, automatic code generation and automatic answer development can speed the event method and empower a wider vary of users to develop applications.
AI-enabled tools area unit evolving from helping and automating functions associated with application development (AD) to being increased with business domain experience and automating activities higher on the AD method stack (from general development to business answer design).
The market can shift from a spotlight on knowledge scientists partnered with developers to developers in operation severally mistreatment predefined models delivered as a service. this permits a lot of developers to utilize the services, and will increase potency. These trends are resulting in a lot of thought usage of virtual computer code developers and recreational “citizen application developers.”




Trend No. 4: Digital twins
A digital twin could be a digital illustration that mirrors a real-life object, method or system. Digital twins may also be joined to form twins of larger systems, like an influence plant or town. the concept of a digital twin isn't new. It goes back to package representations of things or on-line profiles of consumers, however today’s digital twins ar totally different in four ways:

The strength of the models, with a spotlight on however they support specific business outcomes
The link to the important world, doubtless in real time for observance and management
The application of advanced massive knowledge analytics and AI to drive new business opportunities
The ability to act with them and value “what if” eventualities
The focus these days is on digital twins within the IoT, that may improve enterprise higher cognitive process by providing data on maintenance and reliableness, insight into however a product may perform additional effectively, knowledge concerning new merchandise and hyperbolic potency. Digital twins of a corporation ar rising to form models of structure method to change real time observance and drive improved method efficiencies.

Trend No. 5: sceptred edge
Edge computing could be a topology wherever science and content assortment and delivery ar placed nearer to the sources of the knowledge, with the concept that keeping traffic native can scale back latency. Currently, a lot of of the main focus of this technology could be a results of the requirement for IoT systems to deliver disconnected or distributed capabilities into the embedded IoT world. this kind of topology can address challenges starting from high WAN prices and unacceptable levels of latency. Further, it'll change the specifics of digital business and IT solutions.

“Technology and thinking can shift to a degree wherever the expertise can connect individuals with many edge devices”

Through 2028, we tend to expects a gradual increase within the embedding of sensing element, storage, figure and advanced AI capabilities in edge devices. In general, intelligence can move toward the sting during a kind of end devices, from industrial devices to screens to smartphones to automobile power generators.

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Trend No. 6: Immersive technologies
Through 2028, informal platforms, that amendment however users act with the globe, and technologies like increased reality (AR), mixed reality (MR) and video game (VR), that amendment however users understand the globe, can result in a brand new immersive expertise. AR, man and VR show potential for hyperbolic productivity, with future generation of VR ready to sense shapes and track a user’s position and man facultative individuals to look at and act with their world.

By 2022, seventieth of enterprises are going to be experimenting with immersive technologies for client and enterprise use, and twenty fifth can have deployed to production. the longer term of informal platforms, that vary from virtual personal assistants to chatbots, can incorporate distended sensory channels which will enable the platform to sight emotions supported facial expressions, and that they can become additional informal in interactions.

Eventually, the technology and thinking can shift to a degree wherever the expertise can connect individuals with many edge devices starting from computers to cars.

Trend No. 7: Blockchain
Blockchain permits firms to trace a dealings and work with untrusted parties while not the requirement for a centralized party (i.e., a bank). This greatly reduces business friction and has applications that began in finance, however have distended to government, healthcare, producing, offer chain et al.. Blockchain may doubtless lower prices, scale back dealings settlement times and improve income. The technology has conjointly given thanks to a number of blockchain-inspired solutions that utilize a number of the advantages and elements of blockchain.

Pure blockchain models ar immature and might bedifficult to scale. . However, businesses ought to begin evaluating the technology, as blockchain can produce $3.1T in business price by 2030. Blockchain impressed approaches that don't implement all the tenets of blockchain deliver close to term price however don't offer the secure extremely distributed decentralised agreement models of a pure blockchain.



Trend No. 8: sensible areas
A smart area could be a physical or digital atmosphere during which humans and technology-enabled systems act in more and more open, connected, coordinated and intelligent ecosystems. As technology becomes a additional integrated a part of way of life, sensible areas can enter a amount of accelerated delivery.

Smart areas ar evolving alone 5 key dimensions: Openness, connectedness, coordination, intelligence and scope. primarily, sensible areas ar developing as individual technologies emerge from silos to figure along to form a cooperative and interaction atmosphere. the foremost in depth example of sensible areas is sensible cities, wherever areas that mix business, residential and industrial communities ar being designed victimisation intelligent urban scheme frameworks, with all sectors linking to social and community collaboration.


Trend No. 9: Digital ethics and privacy
Consumers have associate growing awareness of the worth of their personal data, and that they ar more and more involved with however it’s getting used by public and personal entities. Enterprises that don’t concentrate ar in danger of client backlash.



Governments ar more and more designing or passing rules with that firms should be compliant, and shoppers ar rigorously guarding or removing data concerning themselves. firms should gain and maintain trust with the client to succeed, and that they should conjointly follow internal values to make sure customers read them as trustworthy.

Trend No. 10: Quantum computing
Quantum computing could be a sort of popular computing that's supported the quantum state of subatomic particles that represent data as parts denoted as quantum bits or “qubits.”

Quantum computers ar associate exponentially climbable and extremely parallel computing model. the way to imagine the distinction between ancient and quantum computers is to imagine an enormous library of books.

While a classic laptop would browse each book during a library during a linear fashion, a quantum laptop would browse all the books at the same time. Quantum computers ar ready to in theory work on a lot of computations right away. Quantum computing within the kind of a commercially out there, cheap and reliable service would rework some industries.



Real-world applications vary from customized drugs to optimisation of pattern recognition. This technology continues to be in associate rising state, which implies it's a decent time for businesses to extend their understanding of potential applications and take into account any security implications. except for a pick cluster of companies wherever specific quantum algorithms would offer a serious advantage, most enterprises may stay in exploration part through 2022 and start exploiting the technology later.