Top 10 Trending Technology in the world - 2019 - TECHZING.online

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Top 10 Trending Technology in the world - 2019

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Top 10 Trending Technology in the world



2017 was proven the year of Intelligence as it bought a lot of achievements and changes in the technology field, as 2017 was proven the year of Intelligence as it bought a lot of achievements and changes in the technology field, as the technologies are constantly improving many new trends arise and the old trends merge with the new ones. There are many new trends in technology which arising and the list becomes too long so we focus on the trends which took off at the end of 2017 and will be some breakthroughs by the end of 2018.




This year we could expect advancement in every technological direction. The advancement of specific commands in natural-language would establish much better human-machine interaction, machine learning, and artificial intelligence will reshape the entire industries, enchantment in virtual reality and atomization. There will be positive potential for smart homes and smart cities, with the Internet of Things(IoT) becoming intelligent and advance.  So, Let’s have look at the top 10 trending technology.

  1. The Internet of Things will become Intelligent

Intelligent things have been in the spotlight from many years with continues changes and improvements and they are influencing worldwide recognized trend- Internet of Things, a network of collaborative intelligent things will be created where they work on developing IoT into its full potential.

A report on the "internet of things" as suggested that almost $6 trillion will be the estimated amount spent on IoT solutions in the next five years. This flood of investment has turned this once science-fictional fantasy into reality.

Artificial intelligence could possibly be merging with IoT providing a big integrated system driving a shift in human-machine interaction, as a result, we may see some amazing technologies that will be able to create smart homes and smart cities.
       

  1. Deep learning will be faster and data collection better

Currently deep learning is at a point where it is facing the new challenges of data collection, re-configuration and the complexity of the computations, but a big part of the innovation is aimed at speeding up the deep learning experiments, according to Marc Edgar, a senior information scientist at GE Research, in the next 3–5 years, deep training will shorten the development time of software solutions from several months to a few days.  This will lead to an advancement in functional characteristics, increased productivity and reduced product costs.

When it comes to data collections, almost every large firms have realized its importance and its influence on the effectiveness of the work. In the coming year, companies will start using even more data, and the success will depend on the ability to combine disparate data by the integration of the existing system and integration of all type of data.

Moreover, new startup companies will emerge and will continue to create new methods for gathering and using data, and therefore the costs for it will be reducing.

  1.  AI will refine auto constructing and tuning of models  

By the launch of Google’s  AutoML last year, the use of AI accelerate. A new approach to AI development was revealed, which is automating the design of machine learning models. It showed the ability to construct models without the human interaction with the A1 which eventually makes one AI becoming the architect of another.

This year we can expect growth of this newly launched AI tool and integration of this into a large machine learning platform. A computer vision algorithm NASNet was built that is able to recognize objects in video streams in real time. The “reinforcement learning” on NASNet was implemented with AutoML showing not only the ability to train the model without humans but even better results in comparison with algorithms with human input.

These new developments broaden the field of machine learning and will completely reshape the approach to models construction and business in the coming years.

  1.    Year of Chatbots

  We all have got an experience of speaking with bots whenever we want to make airline reservations or to confirm our bank account balances. It is suggested that use of natural language for bots will advance from use as automated customer service agents to become routine for daily living.
The development of Home bots will do more than just respond to requests, like to being able to provide timely information such as, “It’s time to take your medicine.”

Further companies may embed these bots on their home pages, it's expected to see companies across all industries, including hospitality, dining, and travel, create their own bots for customer support, sales, and marketing services instead of depending online companies like facebook, google.

  1.    Self-teaching AI will be more confident without the human data

         From very the first invention of artificial intelligence, the improvement and advancement in this field come faster than we expected it to.  An AI algorithm AphaGO took only 40 days to become the best Go player for the whole history of mankind. A study suggested that It was teaching itself without any human interaction and it has developed strategies impossible for human players.

Next year the thirst for the creation of a developed, self-taught artificial intelligence will only continue. We could expect to AI machine which will breakthrough in solving many human routines: decision-making, developing businesses and scientific models, recognition objects, emotions, and speeches, and remaking the customer experience.  The possibility of algorithms for self-learning could bring us closer to the implementation of AI into many areas of day to day human life.

  1. Artificial intelligence will reshape business strategies

AI has bought enormous changes to the business, reshaping the entire industries with the power of advanced technologies and software. Many companies have acknowledged that it is time to implement an AI strategy for their businesses; however, there is still a lot more advancement we could expect.  2018 will be the year when the largest firms will incorporate AI applications into strategic and organizational development.
Moreover, the constant development of machine learning and AI technologies has made promises that every business will be data-driven and every industry will be smart. From healthcare to construction, banking and finance to manufacturing, almost all industry will be reshaped.

 Things that no one ever believed in are now becoming a reality. Virtual assistance for patients, computational drug discovery, genetics research, can give you a glimpse of the amazing use cases in medicine. There are many more applications for automation, robotization, data management and more in different industries that will bring significant changes and rise of more technology trends.

  1.  Blockchain will reveal new opportunities in different industries

Blockchain has been on everyone’s mind now, a revolutionary decentralized technology that stores and exchanges data for cryptocurrencies. The blockchain is a distributed database, a digital register of transactions and contracts.  blockchain has impressive prospects in the field of digital transactions which will open new business opportunities in the coming years.

The growing need for social responsibility and security on the Internet, blockchain technologies are becoming more and more important. In a system using blockchain, it is next to impossible to forge digital transactions so the credibility of such systems will grow much faster than others.

The approach of blockchain technology can lay the fundamentals of disruptive digital business for enterprises and startups.  The startups are finding a niche and clever ways to optimize industries, by replacing intermediary parties like agents and brokers with smart contracts that automatically verify actions without compromising data security.

Blockchain strongly influences intellectual property management and opens new insights into protection from copyright infringement. The industry has promised to apply blockchain technology for almost all industries with such purpose.

  1.  New approaches to privacy and security are coming

With faster the development of technologies and the growth of data and its importance, hacking techniques become more and more progressive. The increasing amount of devices connected to the internet not only creates more data but also makes it more vulnerable and not very well protected, almost all large enterprises are under threat of being hacked, as it happened with Uber or Verizon in 2017.

However, we could be glad that the solution is coming, and we could expect to see increased activity in the direction of protecting our safety. Machine learning will be the most significant security trend establishing probabilistic, predictive approach to ensuring security, There is also already mentioned blockchain technology, which brought to attention a new technology called Zero Knowledge Proof which will develop much more in 2018 enabling transactions that secure users’ privacy using mathematics.

 This applies to all business participants: from the company’s developers to its partners. So, although our security continues to be threatened, there are promising solutions that can bring more privacy to our lives.

  1.  Augmented reality will hit the mainstream

The big companies like  Apple and Google recently introduced both ARKit and ARCore and are driving an inflection point for the industry. As hardware and software continue to improve, we can expect to see more developers building AR applications in 2018.

It's not only just startups looking to get in on the action. In fact, it is likely that many of the world's biggest brands will invest their resources in creating augmented-reality experiences to enhance their users' experiences both inside and outside of their stores.

We could expect Merchants that will create AR experiences with their packaging so that demonstration videos can appear when you look at the product on the shelf. Something knows as Virtual pop-up stores can be built to appear anywhere that crowds are gathered like in a subway or a busy street to create engaging shopping experiences anywhere with accessible bandwidth.

 We could dream of a much more exciting way of watching sports from home, AR has the potential to bring the excitement of life-size boxing matches into your living room. The real promise of AR is to bring people the information they need without having to ask for it.

  1. Prescriptive Analytics Will Start to Deliver on its Promises                   

 The past few years, we saw that many organizations have adopted the predictive analytics and big data. Which has become a prerequisite for organizations to remain competitive? The biggest corporates and also medium-sized enterprises started implementing predictive analytics solutions to improve their processes, customer experience, and bottom-line, but it is not sufficient in the data-driven world we live in. For that, we require prescriptive analytics.

Prescriptive analytics can be seen as the final stage in understanding a business. It offers recommendations on how to act upon predictions to take advantage of those predictions. It uses a variety of algorithms and data modeling techniques to have a thorough understanding of the environment and improves business performance.

In the coming years, prescriptive analytics will start to deliver on its promises with the number of applications growing and more organizations benefiting from big data analytics.
                                           




The coming year we could expect more trends in technology and will be a very exciting and challenging year for those who are interested and working in this field.

We will see the Blockchain market mature and AR will become increasingly regulated. Also, our privacy will be breached, but help is underway in the form of Zero Knowledge Proof. We should expect to witness faster and more accurate Machine Learning and AI applications and some new exciting developments.

The exponential improvement of technologies like the Internet of Things and self-teaching AI will definitely change every business industry and our everyday lives for the better. Lastly, organizations will discover the possibilities of prescriptive analytics and thereby significantly. All in all, it will be a very exciting year as we slowly towards greater industrial revolution.




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