Top 10 Technology Trends of 2020

Television shows of the 1960’s just like the Jetsons predicted that the 21st century would be crammed with flying cars, and airborne robots would be a neighborhood of our everyday lives.

October 21st, 2015 marked the purpose of technology in time during which Marty McFly (Michael J. Fox) traveled to in Back to the longer term Part II, the 1989 sequel to the time-travelling classic.

The longer term he found was one which had captured the imagination of millions — instead today, we sleep in a world dominated by live streaming, smartphones and social networks, not flying cars or hover boards (maybe, because is that this really a hover board?).

Within the span of 10 short years, or maybe even less, service apps like Uber, Lyft, DoorDash, AirBnB et al. have spawned many users, and may be found on almost everyone’s smart phone.

Personal assistants like Siri and Alexa have entered many of our lives. it might be terribly naive for anyone to mention that the planet hasn’t changed within the last 10 years.

This technology growth and alter is probably going to continue for subsequent decade and beyond.

It’s the roaring 20’s baby! At the beginning of the millennium, Information Technology was deeply concerned about Y2K … “Oh no, the zeroes and therefore the clocks!” When the clocks struck 12 in 2000, the iPhone, Twitter, Facebook, 4k, 5G, and every one the opposite fun things we all know today didn’t exist.

So what’s future as a replacement decade begins?

Are you more curious about what skills you would like to find out to stay pace with the technology trends of 2020?

The year 2020 brings along many game-changing technology trends that we’ll come to embrace (or have embraced already).

While some things exist already and are common finds within the modern enterprise, other new technologies are ‘prime pickings’ to drastically change the way we live, work, and socialize.

Because the modern technology we all know and love evolves with new use cases and even newer applications, we’ll begin to ascertain the new benefits and opportunities.

Hyper-automation

Hyper-automation elevates task automation to subsequent level. it’s the appliance of advanced technologies like AI (AI) and Machine learning (ML) to automate processes (not just tasks) in ways in which are significantly more impactful than that of traditional automation capabilities.

It’s the mixture of multiple machine learning, packaged software and automation tools to deliver work. Hyper-automation requires a mixture of tools to assist support replicating pieces of where the human is involved during a task.

This trend began with robotic process automation (RPA) but will see growth with the mixture of process intelligence, content intelligence, AI, OCR and other innovative technology.

Multi-experience

Multi-experience deals with the huge shift from a two-dimensional screen and keyboard interface to a way more dynamic, multi-modal quite interface world where we’re immersed within the interactive technology and it surrounds us.

Multi-experience currently focuses on immersive experiences that use augmented reality, computer game , mixed reality, multi-channel human-machine interfaces and sensing technologies.

AI enabled conversational platforms have changed the way during which people interact with the digital world.

Beyond conversations, computer game (VR), augmented reality (AR) and mixed reality (MR) are changing how people perceive the digital world.

This combined shift in both perception and interaction will end in the longer term multi-sensory and multi-modal experience.

Over subsequent decade, this trend will become what’s referred to as ambient experience.


Democratization of Technology

Democratization of technology refers to the method by which access to technology rapidly continues to become more accessible to more people.

The democratization of technology means providing people with quick access to technical or business expertise without extensive or expensive training.

This is often already widely known with the increase of the citizen developer.

Historically, automation was managed and deployed by IT, but the emergence of robotic process automation has changed that with the emergence of digital workers.

We are now seeing a replacement generation of citizen developers, like business analysts, who are closer to business challenges and may program and automate digital workers to assist them do their work.

This trend will specialise in four key areas: application development, data and analytics, design, and knowledge. consistent with Gartner, these could also be tools designed “to generate synthetic training data, which helps address a considerable barrier to ML model development.”

Human Augmentation

Human augmentation explores how technology are often wont to deliver cognitive and physical improvements as an integral a part of the human experience.

This augmentation is leveraging technology to extend human capabilities both physically and cognitively.

Companies like Boston Dynamics have already developed a good sort of human augmenting devices which will be utilized in factories or on the battlefield.

We have already seen the proliferation of smart devices, and smart wearables. New applications include the utilization of those wearables to enhance worker safety within the mining industry.

In other industries, like retail and travel, wearables might be wont to increase worker productivity and increase human ability.

Transparency and Traceability

Consumers who are increasingly aware that their personal information is effective , are demanding control. Many are recognizing the increasing risk of securing and managing personal data.

Beyond that, governments are implementing strict legislation to make sure they are doing .

More legislation almost like the ecu Union’s General Data Protection Regulation (GDPR) is probably going to be enacted round the world within the coming years.

As more organizations deploy AI and cash in of machine learning to form decisions in situ of humans, this is often an extra cause for concern. There evolves a driving need for explainable AI and AI governance.

This trend requires attention on these key elements of trust: integrity, openness, accountability, competence and consistency.

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The Empowered Edge

Edge Computing was born from the necessity for IoT systems to deliver disconnected or distributed capabilities into the embedded IoT world.

According to Brian Burke, from Gartner, “edge computing will become a dominant factor across virtually all industries and use cases because the edge is empowered with increasingly more sophisticated and specialized compute resources and more data storage.

This will extend the role of devices because the basis for smart spaces and can move key applications and services closer to the people and devices that use them.

The Distributed Cloud

Distributed cloud is how the cloud is shifting. Most have thought of the cloud as being location independent — it’s just out there; it’s up there somewhere.

But now with distributed cloud, physical location of where those data centers are located becomes increasingly important.

Addressing regulation issues and latency issues and people sorts of things is becoming far more important.

This represents a big shift from the centralized model of most public cloud services and can cause a replacement era in cloud computing.

MORE Autonomous Things

Autonomous Things are the physical devices that use AI to automate functions previously performed by humans. the foremost recognizable current sorts of autonomous things are robots, drones, autonomous vehicles, and appliances.

As technology capability improves, regulation permits and social acceptance grows, more autonomous things are going to be deployed in uncontrolled public spaces.

Cryptocurrency and Practical Blockchain

Recognizing “practical blockchain” is vital here: while blockchain has been around for a couple of years, it’s been slow to be commercially deployed due to a number of the technical and management issues within the technology.

The report notes that another area during which blockchain has potential is identity management.

Smart contracts are often programmed into the blockchain where events can trigger actions; for instance , payment is released when goods are received.

However, Gartner’s Brian Burke says that blockchain remains immature for enterprise deployments thanks to a variety of technical issues including poor scalability and interoperability.

As complementary technologies like AI and therefore the IoT begin to integrate, blockchain will see tremendous growth within the enterprise.

AI security

Evolving technologies like hyper-automation already show how true digital transformation is changing within the business world.

2020 anticipates great opportunities and great challenges for enterprise leaders. it’s important to always remember that embracing change and adopting new technologies and trends will guarantee that your organization remains competitive within the market.

Make no mistake about it, resisting change will set your company behind. those that specialise in true digital transformation will grow their business. Are you brave enough to leap into executing on these trends which will reshape the future?

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