Latest Key Prediction that will shape up The Autonomous Digital Enterprise in 2020

With newer technologies such as IoT, Ai is surfacing its way into the IT industry the tech innovations are in hyper-automation at a faster step than expected. A few years of cloud technologies, which were considered as cutting edge is now mainstream for almost every business.

We shall all agree to the fact that the revolution in digital space has evolved into Autonomous digital enterprise & improve business ready to graduate to the sidelines to center stage.

According to the authorized source such as Devops.com " new innovation such as edge computing and the convergence of IT service management and IT operations management, AIOps, 5G, Xass, etc, will be at the mellow and are driving advancements and creating new pillar across all sectors in a digitally connected world.

Before diving into the further, first, you have to understand what is ADE:

• Autonomous Digital Enterprise:

In order to thrive further steps, enterprises will need to evolve in ADE, a state where integrated and value created functions can operate with minimal human involvement. Now a -days every company is being agitated by automation and that’s fundamentally changing business models.

Let’s dig deeper to see the key prediction that is going to Shape up Digital industry in 2020:

• Merging of IT service & IT operation management: The IT service is advancing and the convergence of IT has given a major leap. Today's convergence can be facilitated through the AI systems. Earlier the convergence level relied on complex programming mechanisms that were time-consuming. With the use of AI and machine learning, problems such as servers crashing, application updates, and people seeking help on forgotten passwords, ticket collection, etc, can be solved using AI.

• AI will transform the following services in ITSM( IT service and management)

• • A decrease in Ticket per cost

  • Improves response time

  • Automated backend process

  • Knowledge Management

  • Request creation

  The DevOps consulting agencies should have to work agile on this AI platform in order to withstand competition.

• • Edge Computing solution and IoT:

  Over the last decade Cloud computing grew exponentially, however more and more organizations migrated to cloud computing and they realize that there are flaws such as bandwidth, cost, latency & time in cloud computing. This is where the concept of Edge Computing comes to the rescue as a way to bypass the latency caused by cloud computing and getting data to a data center for processing.

  Edge Computing and IoT are conjoined to each other. According to Government source, the market is growing at a rate of 32.8% CGAR and would reach nearly 1.6 million by 2025.

  • DevOps Service & solutions Providers:

  From startups to large enterprises like Uber, White House, Pentagon agency departments, etc are relying on DevOps. According to sources, The growth of DevOps is considered to grow at 7% every year and the DevOps Service Provider firms like Xenonstack, TCS, New Relix, etc. have contributed to the spread of the DevOps services and management.

  DevOps services include efficient and reliable management of software mechanisms. There are some benefits of DevOps that is boosting this to withstand in the market

  • Quick amendment response during the development phase.

  • Adapting Agile made it easy.

  • It is a perfect channel of collaboration and communication

  • Fast identifying bugs and their quick resolution.

  • Improves the quality of the product.

  • Offers great speed

  • Makes the security arrangement more agile

  • Big Data and Artificial Intelligence Operations:

  The demand for AI and big data in the enterprise will continue to rise as AI operations have taken the industry by the Strome. Days are gone when the marketing trends and operations have been done manually. Now It is the era of AI that analyses the marketing trends with the help of big data. AI encompasses machine learning techniques to transform complex mechanisms into reliable and efficient operations.

  Due to expansion in the number of workloads, there is an increase in application and data complexity, investment in the AIOps will increase and ultimately lead to better business outcomes. Today’s challenge place a value on understanding and differentiating pitchers solutions by AI/ML and big data analysis techniques that can help modern IT operations upgrades from traditional actionability.

  Wrapping It Up:

  All of these trends open dimensions of potentiality for what digital enterprise can achieve in 2020- along with these 5G expansions, Quantum computing, Embedded Security, etc, can tackle the massive amount of data enterprise.

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