Latest Technology Trends That Will Impact Businesses In 2020

Latest Technology Trends That Will Impact Businesses In 2020

Latest Technology Trends That Will ImpactBusinesses In 2020

Technologyis something that evolves all the time. Whatexciting developments and innovations can we expect to see?

 Looking at future techs and thinking about thepossibilities make this tech age even more fascinating. The future is alwaysexciting and there is not a single doubt that the basic idea of digitaltransformation will be a reality with innovation progressing at a tremendousrate of growth.

As per the statisticsby 2022, 70 percent of companies will be experimenting with immersivetechnology for consumer and enterprise use, and 25 percent will have themdeployed in production.

In thisdigital ecosystem that is transitioning from social, mobile, analytics andcloud (SMAC) to the distributed ledger and quantum computing, are you ready togrow your business with this modern advancement?

To make youaware of these latest advancements, we have come up with the list of the latesttechnology trends for 2020 that will shake up the market for years to come;

Hyperautomation

Hyperautomationis taking applications for task automation to the next levels. It enables theapplication of advanced technologies like AI and machine learning, to automate theprocess and augment human needs.

In severalcases, it can mean the creation of a digital twin of the organization- allowingvisualization of how functions, processes and key performance indicatorscoordinate to drive value.

But wecannot deny from this fact that no single tool can replace humans,hyper-automation will also incorporate a combination of elements like roboticprocess automation and intelligent business management software.

Democratizationof Technology

Thedemocratization of technology simply means the easy and simple access oftechnical domain to everyone; here profession and place do not keep matter.There are four key aspects of democratization of technology trends that willmake it big this year:

  • App Development
  • Knowledge
  • Design
  • Data and Analytics

The bestexample of a democratization concept can be credited to developers, who will beable to generate data models without learning the skills of data scientists.

Although,there is still concern about the use of these latest trends in informationtechnology in the coming days because it will also enable people to exploiteasy-to-use tools that may harm society.

AugmentationGets Human

Thecontroversial trend of human augmentation mainly focuses on the use oftechnology to improve the cognitive and physical experience of a person. But itcomes with a wide range of cultural and ethical implications.

Like, usingCRISPR (clustered, regularly interspaced, short palindromic repeats)technologies to augment genes has important ethical consequences. Physicalaugmentation changes the inherent physical capability by implanting or hostinga technology in the body.

Here,applications include the use of wearable to enhance worker safety in the miningindustry. But when it comes to other industries like retail and travel, wearablecould be used to enhance worker productivity.

EdgeComputing

In this newera the importance and efficiency of edge computing has steadily increased and2020 will be the most fascinating year for vendors and consumers in the industry.

Edgecomputing is characterized by different types of app in different industries.The unique demands of computing, storing and networking for each use case willbring the progress of custom form factors right from process level tomaintenance level.

Large-scaleImplementation of AI Chips

In the lastfew years, AI chips have reached a usable state, and 2020 is expected to be acritical year for the large-scale implementation of AI chips. AI chips on theedge will be more low-cost, specialized, and seamlessly integrated into thedownstream solutions.

Also, theneural processing unique will be the fundamental module of the next-generationedge-based general-purpose CPU chips. In the coming days, more and moredevice-based CPU chips will integrate deep learning framework as the basis fortheir design. Moreover, AI will redefine computer architecture and support AItraining and inference as a unique concept of heterogeneous designarchitecture.

PracticalBlockchain

Blockchainis a kind of distributed ledger; it is an expanding chronologically orderedlist of cryptographically signed, irrevocable transactional records shared byall participants in a network.

Also,Blockchain allows parties to trace assets back to their origin that is good fortraditional assets. But this paves the way for other uses like tracingfood-borne illnesses back to the original supplier. It also enables two unknownparties to interact in a digital environment and safely exchange value withoutthe need for a centralized authority.

Transparencyand Traceability

Today, mostof the consumers are becoming aware of their personal information and aredemanding control. Most people these days know the increasing risk of securingand managing personal data. In addition, governments are implementing strictlegislation to make sure they do. Transparency and Traceability are vitalelements to support these digital ethics and privacy requirements.

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