Posts Tagged ‘machine learning’
Technology is winning its everyday challenges at a pace faster than ever before. As compared to the previous year, tech trends have become embedded to practically every sphere of digital business. There is constant growth of software spending on technologies because technology is now rooted in every sphere of digital business. For entrepreneurs and self-starters it is necessary to leverage strategic technologies to reach target audiences next year.
What is to become mainstream in 2017?
AI & Advanced Machine Learning
Artificial intelligence (AI) and advanced machine learning (ML) are represented by many technologies and techniques such as deep learning, neural networks, natural-language processing. They have a potential to create more advanced systems that are able to adapt. Such systems will be able to change future behavior, leading to the creation of more intelligent devices and programs. But the trend is to develop ML and AI to autonomously operated systems in long-term perspective. These techniques are likely to be introduced into almost every sphere of digital business as inborn components within a decade.
Virtual & Augmented Reality
The world is now ready for augmented reality (AR) and virtual reality (VR) technology while early-stage devices are springing up in different spheres. Much work is done to transform interaction of human beings to the next level by moving them to immerse environment with the help of VR. It allows undergoing training in remote places or creating certain scenarios under pre-established criteria. As for AR, it can blend the real and virtual worlds, which has great potential for application in lots of businesses. It is estimated by market researchers that worldwide revenues for the AR/VR market will grow from $5.2 billion in 2016 to more than $162 billion in 2020. That is why many observers claim that the year 2017 to be a starting point (or at least a transition period) of AR/VR versions of practically every application to emerge.
Robots, drones and vehicles-these intelligent things have spread tremendously through the current year. But what potential do they have for the coming year? It is predicted by Gartner agency and other research firms that the apps that control IoT devices will also use machine learning and AI. This means that all the ordinary elements of environment, from toothbrush to your car, may become interconnected and collaborate to make decisions in everyday practice. Major advancements are yet to come. Experts claim that solutions to tie every app which controls intelligent things together into a single, seamless user experience are to be made in the year 2017.
Next year is predicted to be the time when digital twin’s idea will spread to most remote parts of the world. It is a software replica of a physical thing or system which uses sensor and physics data. The sphere of application of a digital twin will widen with the time and by the year 2020 they will likely to be used for improving operations and creating new things.
Intelligent objects are predicted to have some form of conversational interface in the near future. And the coming year, in particular, is likely to produce a device mesh when there will be a merge of different interaction techniques resulting in innovative digital user experience. It is now represented by a trend in app development which lets users interact with apps through texting. The next year is likely to provide such solutions to other intelligent objects which surround us in everyday life.
Mesh App and Service Architecture
MASA- or “Mesh App and Service Architecture” is considered to be an IT-system which enables communication, collaboration and learning within some digital ecosystem. Such architecture will hold together and interconnect different services to enable users gain experience through shifting across different sections (e.g., desktop, smartphone, vehicles).
Adaptive Security Architecture
There is much room for new smart devices for better learning and protecting. It is especially necessary in the vulnerable system of IoT which can be brought down by DDoS attacks. The idea behind adaptive security architecture lies in recruiting AI smart solutions within security tools. IoT is now becoming a special frontier for security specialists. Will 2017 become a year when new remediation tools and processes will be embedded into IoT intelligent devices? The answer is to be given soon.
These are some of major tech trends we’re in store for in 2017. They seem strategic and have lots of potential to grow to autonomous systems, like in case with AI and advanced machine learning. Some of the abovementioned trends are likely to take off next year; others will boost their presence in the digital business in several years. But even ordinary people will soon be able to experience the world where boundaries between real and digital blur.
What’s your idea of the tech trends for 2017? Please feel free to share your thought in the comments below.
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Professional Software Development