Technologies that will still remain hot in 2017 & Beyond

Dhrumit Shukla
Jul 20, 2017 · 4 min read

Everyone is a trend watcher. Perhaps, in this ever-changing world taking a hard-look at the latest buzz phrases is the only way to determine which technology trends will actually weave into the fabric of business computing. Nobody has enough time to learn all new stuff, work and live a normal life simultaneously. Thus, smart selection is the key. Learn not to miss the important stuff and at the same time keep the junk trends out. The following post is a small and ever-incomplete list of things that need to be paid equal attention to. Although, some items could be considered a few months old but still not grasped by all.

Docker

Running applications in containers instead of virtual machines are gaining momentum in the IT world. Docker is one of the fastest growing technology that allows users to easily pack, distribute and manage applications within containers. In a layman’s language, it is an open-source project that automates the deployment of applications inside software containers.

The technology has the potential to make things easier by simply creating, deploying and running applications by using containers which allow a software developer to package an application with all the required parts such as libraries and other dependencies and ship it all out as one package. By doing so, he will be assured that the app will run on any other Linux machine regardless of any customized settings that machine might have.

Real Docker adoption is up 30% in one year

Why do large companies tend to use Docker?

  • Return on Investment and cost savings
  • Standardization & productivity
  • CI efficiency
  • Compatibility & maintainability
  • Simplicity & faster configurations
  • Rapid Deployment
  • Continuous Deployment & Testing
  • Multi-Cloud Platforms
  • Isolation
  • Security

Hybrid cloud storage

It is a pure combination of public cloud storage and private cloud storage where some critical data resides in the enterprise’s private cloud while other data is stored and accessible from a public cloud storage by Microsoft Azure and storsimple cloud computing and platform services. With this technology, enterprises are able to mix and match cloud storage resources between local data center infrastructure and scalable, on-demand infrastructure.

Cloud computing offers a seemingly endless list of reasons for why companies should adopt it. A few of them are:

  • Improved security
  • Cost effective
  • Enhanced organizational agility
  • Greater accessibility
  • Driving innovation and future proofing
  • Flexibility

Hybrid cloud storage more precisely means using on-premises storage and storage in the public cloud to create a great overall value. Which means businesses can have some data on one and some on the other, depending on the risk classification or its latency and bandwidth needs. Apart from this, you can federate a private storage cloud with a public cloud, using public cloud storage for archive, backup, disaster recovery, workflow sharing and distribution.

Machine learning

Over the past few years, the technology has taken some massive strides forward in assisting as well as enhancing Google’s core search engine algorithm. Moreover, the ability to automatically apply complex mathematical calculations to big data — over and over, faster and faster — is a recent development.

How is machine learning used today?

  • Fraud detection
  • Web search results
  • Real-time ads on web pages and mobile devices
  • Text-based sentiment analysis
  • Credit scoring and next-best offers
  • Prediction of equipment failures
  • New pricing models
  • Network intrusion detection
  • Pattern and image recognition
  • Email spam filtering

Pattern recognition is one of the most popular use of machine learning which means the technology can be used to recognize many types of images.

Humanized Big Data. (visual, empathetic, qualitative)

The digital transformation is quickly separating the wheat from the chaff by bringing intelligence to components and everyday appliances, resulting in a flood of data increasing exponentially. Big Data is a technology that collects and analyzes the kind of data created by those processes. However, many software programmers believe that big data’s greatest strength is also its greatest weakness. And it is difficult to derive concrete action guidelines or actionable meaning from an analysis of current solutions. Hence, the current trend is pointed squarely towards “humanized big data” where the information should be processed in such a way that non-data scientists can easily derive clear answers- ‘actionable insights’ from big data analysis and use them for effective decision making.

Its benefits include:

  • It is timely
  • Easily accessible
  • Big Data is Trustworthy
  • Authoritive & Secure
  • Qualitative approach

In 2017 and beyond, software development companies will see advancements to humanize big data, seeking more empathetic and qualitative bits of data and projecting it in a more visualized and accessible way.

AI/Robotics

Artificial Intelligence is designing machines that have the ability to think in order to make human lives easier. In fact, it may quite interest you to know that researchers want to bring in the emotional quotient to the machine along with general intelligence.

How is AI beneficial?

  • Error Reduction
  • Easy Exploration
  • Daily Application
  • Digital Assistance
  • Repetitive Jobs
  • Medical Applications

Today, Artificial intelligence and robotics have already moved from science fiction to reality and soon they will be coming to a business near you.

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Dhrumit Shukla

Written by

Dhrumit Shukla has been working as Business Development Manager in a software development company named TatvaSoft since 5 years. https://www.tatvasoft.com/

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