Artificial intelligence, software robots, 5G, augmented reality, containers and microservices … All these technologies, both in themselves and in collaboration, are able to change the business environment as early as next year.
At the beginning of each year, there are a large number of predictions about which technologies will “blow up” the business in the current year, and starting from the middle, which ones will certainly do this in the next. Newcomers do not so often break into these lists, but in order to stay in them, technologies must be significantly added over the year. CNews Analytics studied the first predictions for 2020 and identified the top ten most frequently mentioned technologies and methodologies, which next year will have an important role in business transformation.
1. Artificial intelligence
Artificial intelligence . AI is in first place in almost all forecasts. Despite fears that machines will take away jobs from people, thanks to him computers started to perform a wide range of jobs for people. AI solutions are able to automatically create metadata for sound recordings with the ability to search for them, and provide cybersecurity by analyzing real-time data arrays on the behavior of components of a corporate network and issuing recommendations for solving emerging problems.
2. Chat Bots
In addition, AI is the basis of text and voice chat bots using technologies for processing natural language and analysis of sentiment, which, according to experts, this year 40% of companies in the service industry will be introduced. The high pace of the development of speech synthesis and speech understanding technologies was recently demonstrated by the Google Duplex voice assistant, whose interlocutors did not understand that they were dealing with the machine.
In the same row are a means of business processes robotics (Robotic Process Automation, RPA), which allow users to automate repetitive actions. Moreover, if initially it was assumed that they would do exclusively “mechanical” work — say, transferring data from one table to another — then recently they have become very “smart” and ready to perform control functions and even distribute simple, repetitive tasks. It is not surprising that, according to Gartner, the corresponding segment of the corporate software market is growing very fast – last year it increased by 63% to $ 846 million, and this year it is expected to reach $ 1.3 billion.
Some experts believe that the introduction of software robots is only the first stage of a more general trend of “strategic automation”: the use of AI for end-to-end automation of “manual” business processes in an enterprise.
4. Video Technology
Agile methodology, originally used by software developers, is also being adopted by business structures. Interaction in geographically distributed teams is provided by means of conference communication, which is experiencing a new rise. Not so long ago, experts at the Massachusetts Institute of Technology conducted a survey in about three hundred companies, figuring out what technical tools help create the best working conditions for employees, and the video unexpectedly came out on top of the answers: investments in video technology contribute to innovation, coordinated interaction and increased productivity.
In the future, the effect of presence during interaction through video will become even deeper thanks to the technologies of augmented and virtual reality, predicted at MIT. Accordingly, it is very likely that renewed growth in the popularity of the means of unified communications, which previously suffered from problems with reliability. The new solutions no longer have the previous drawbacks; new convenient interaction options have appeared, including in the content exchange mode.
Also among the influential technological trends, experts mention DataOps . This term itself was first proposed only five years ago on the IBM blog, and today it is understood as a process-oriented methodology for organizing the work of groups of analysts and data researchers, aimed at improving the quality of analytical information and accelerating its receipt. In addition to the principles of organizing activities, drawing ideas from Agile development, DataOps relies on data management using machine learning and artificial intelligence. Today, according to Gartner, only less than 1% of participants in the addressable market have implemented DataOps, but analysts are convinced that these organizations are guaranteed a great competitive advantage.
6. 5G Networks
There is great hype around the 5G networks , they have high hopes, although work on the standards has not yet been completed, and it may take years to deploy the networks nationwide. Nevertheless, some organizations are already planning strategies for introducing 5G communication systems, which promise transfer speeds to and from the subscriber at speeds up to 20 Gb / s and up to 10 Gb / s, respectively, as well as the ability to maintain a connection when traveling at speeds up to 500 km / h
7. Internet of things
5G standardization promises an increase in the use of Internet of things and peripheral computing systems and a corresponding sharp increase in the data flows available for analysis, which enterprises will have to prepare for by deploying robust stream processing architectures. According to CompTIA, approximately one-third of companies are confident that IoT strategies can increase revenue by increasing production, monetizing data and selling products as services.
8. Containers And Microservices
There is growing interest in containers and microservices , as technologies that allow the rapid development of highly scalable software systems, especially cloud-based and designed for solutions based on the Internet of things. In particular, Kubernetes, an open source system that automates container deployment and management, is being widely implemented.
9. Digital counterparts
Surveys conducted by Gartner this year indicate the beginning of the widespread use of “digital counterparts” – products, processes and systems that allow you to monitor the state of the “source” physical objects and predict possible problems before they arise. It is generally agreed that in the coming years digital twin organizations will begin to appear, which will allow monitoring of companies as a whole, rather than their individual systems.
And finally, as for the blockchain , around which there is also a lot of noise. Opportunities to make money on initial coin offerings (ICOs) are becoming less and less, but the use of distributed ledgers in the supply chain, the financial industry and not only, including on the basis of open source platforms such as Hyperledger Fabric, is increasing.