We are well into the new year and bid adieu to 2017, which was marked by a great many technological trends. Be it the much-acclaimed fame of Blockchain, the blink-and-you-missed-it popularity of Pokemon Go (the widely accepted VR/AR gaming app), the rise of Bots and AI, or the hue and cry over cyber-security, the year was a complete disruptive one for Technology.
While it’s all in the past now, but 2017 has shaped much of what we can expect in 2018. here are some technological trends for this year, that will cause much more disruption in the way industries have been functioning since long.
Blockchain more than a Buzzword – Businesses have begun realizing the reliability, security, and efficiency the Blockchain technology 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.
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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!
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 cyber crimes 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.
Machine Learning will take use cases that are practical – Machine learning will step into 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 a 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 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 an 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.
While the predictions and trends are numerous, it is imperative to realize how far we have travelled as a society towards technology and innovation. While 2017 was a year of innovation and analysis, this year could witness some real-world applications exploiting the most complex and challenging technologies.
So, the least you can do is just get in touch with the top outsourcing software development company and share your idea to turn that into reality.
Leading Mobile App Development Company and IT consultancy company are in LosAngeles, CDN Software Solutions is all set for the Mobile World Congress Americas 2018 event
This year team CDN can be found at Stand W.419 in Hall West. Check the agenda and prefix the meeting here