Emereging Technologies that will rule the world in 2019

Digital transformation is here, everyone now more relies on new tech stack for relevant information, finding accurate data, engaging more users/buyers, finding the right customers for their business. Technology rapidly advancing, companies stand to gain a competitive edge if they can stay current on IT trends that drive efficiency. Perhaps that’s why by 2020, 61% of organizations plan to use gigabit Wi-Fi networking technology, 57% expect to use some form of IT automation, 48% plan to adopt IoT devices, 39% expect to use converged or hyper-converged infrastructure, and 38% plan to utilize application-isolating container technology.

Although many companies intended to adopt AI, VR, and 3D printers last year, the schematics have changed, or at least plans have been delayed. Current adoption rates for VR and AI technology hasn’t budged many years over year, particularly in small companies.

This could be the result of some businesses initially being overly optimistic about future tech adoption, but later opting to focus on updating their infrastructure and software instead. 

Here are some latest technology trends that rule the world in 2019:

Cybersecurity will continue to lurk from behind – 

With the rapid rise in devices connecting to the Internet-only to exchange personal information has not made matters any easier for cybersecurity experts and professionals. According to statistics, damage costs due to cybercrimes will hit $6 trillion per year by 2021. There have been considerable investments in ensuring security over the Internet in 2017, and the investments are predicted to increase by $1 trillion by the year 2021.

Blockchain more than a Buzzword –

Businesses have begun realizing the reliability, security, and efficiency the Blockchain-based software solutions and blockchain app development is all for. Developers this year will be developing exciting and challenging use cases for the financial services sector and manufacturing supply chains. The immutable trusted, and efficient transactions that Blockchain promises, the integrity of data and ledger-management that is its core, are all the reasons why the technology will see the face of production this year.

Chatbots will get sophisticated – 

While the last year saw a rise in the usage of chatbots by every organization big and small, regardless of the industry and sector, this year will be more about the quality than the quantity. Chatbots will be expected to do more than say hello and hand over the case to a human for assistance. Chatbots are expected to meet the AI standards that they were originally built for. According to a prediction, efficient interaction by chatbots will increase from just 20 percent in 2017 to a whopping 93 percent by 2022.

IoT will accelerate Edge computing – 

The Internet of Things (do we need to expand IoT still?) devices have become a part and parcel of many homes and businesses. As the number of devices connected to the Internet increase, there will be an analogous increase in the exchange of data over the network. That will give the pace to Edge computing. This means a faster exchange of data between devices, without the need of connecting to a cloud. Edge computing is a concept wherein the data collection and delivery points are kept close to the processor. Manufacturers are realizing the increase in the number of IoT-enabled devices, and are striving to make their offerings better, that is, considering edge computing!

Machine Learning will take use cases that are practical – 

Machine learning will step into the mainstream application development. The two main reasons that will drive the growth in ML this year are- pre-built modules for ML development are available in leading platforms and ML is essential when analytics have to be applied to the data stored in large datasets. Machine Learning development and ML testing are becoming increasingly popular amongst the younger generation, who are thrilled to learn these concepts to build real-world applications. Generating recommendations, predicting outcomes and making automated decisions according to historical scenarios, are the use cases that will require ML applications.

Serverless architectures – 

The concept of a serverless architecture is quite appealing to organizations. When demand arises for the execution of a piece of code on a certain event, instantiate the infrastructure, deploy and execute the code, and charge me according to the time consumed in this complete process. The need for flexibility and scalability with cost-effective solutions has given rise to serverless architectures. While debugging and development challenges are lined up on the path towards the adoption of serverless architectures, companies are still considering to invest big in the idea.

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Leveraging services rather than products – 

An increase in the adoption of cloud has resulted in organizations eyeing towards services more than products. Without increasing their capital costs and internal support needs, online cloud-based services are becoming the preferred ways of developing and deploying solutions. For example, why will an organization invest in buying a new mobile device for its testing purposes, when for a small monthly amount, it can access all simulation environments for all device sizes and operating systems over the cloud.