Qlik has become a Leader in the Gartner BI Quadrant for the seventh consecutive year. Gartner estimates Information Builders continues to lead the business intelligence platform market

Business intelligence tools are another (along with enterprise content management, ECM) applied IT direction, which enjoys the constant interest of all participants in the IT market - customers, suppliers, researchers. The reasons, we can confidently say, the dynamic development of this segment are quite obvious - the use of computing technology is increasingly shifting from solving the problems of automating the operational activities of enterprises towards deep processing of the accumulated data for planning the development of companies and supporting decision-making.

Earlier this year, Gartner released its annual Business Intelligence Magic Quadrant (Figure 1) and posed a little mystery to its customers, readers and independent observers, adding to the name of the study in addition to traditional words Business intelligence also Analytics (“Magic Quadrant for Business Intelligence and Analytics Platforms”). For the Russian audience, this expansion of the name creates some problems, since the term BI has long been translated into Russian as “business analytics” and what to do with the second “analytics” is not very clear. We will still stick to the traditional name for now - BI, or business intelligence

Here we can recall that the topic of defining the range of BI-tasks, the structure and name of the direction as such was actively discussed in 2006-2008, during the period of a radical regrouping of forces in this market as a result of mega-vendors entering the first roles here largely due to the purchase of leading specialized BI developers. The objective basis for these terminological discussions was then the availability of a large number of products with a wide range of capabilities and, more importantly, strategies for operating in this market. In short, it was the moment of direction reform. Of course, some terminological chaos was aggravated by subjective factors - the desire of leading experts to show their own identification (for example, IDC used the term Business Analytics, and Forrester - Business Performance). But already in 2008, when all the main BI-purchases were made and market passions subsided, the term BI again became generally accepted.

The authors of the current Gartner study attribute the rise of Analytics to the growing weight of analytics in products. of this market but what exactly this growth is expressed in and what is meant by the “analytical component” is not very clear. Like five years ago (immediately after the completion of the restructuring of the BI market), experts distinguish three groups of functional BI areas - information delivery, integration and analysis. But if in 2008 there were 12 main functions, now there are 15 of them, that is, three new categories have been added. In the “integration” group, as it was, there are areas BI-infrastructure, metadata management, development tools and collaboration. In the "information delivery" to reporting, dashboards, ad hoc queries and integration with MS Office, search-oriented BI-products and mobile BI-tools were added. The Analysis group now includes Prescriptive modeling and optimization in addition to OLAP, Interactive Visualization, Predictive Modeling / Extraction, and Scorecard.

Market situation

According to Gartner, the market for BI platforms will remain one of the fastest growing segments of the software market as a whole; for the period up to 2016, analysts of the company predict its annual growth at the level of 7%. At the same time, Gartner notes that the BI direction, although it is a very mature market and has been on the list of the most important priorities for CIOs for many years, still remains insufficiently demanded by customers. And this despite the fact that each company has a whole range of different subject areas where BI tools would be very useful: this is human resource management, and marketing, and all kinds of social issues, and much more. Visual analytics are already being effectively used, albeit mainly by large organizations, for such traditional areas as finance and sales, but the use of forecasting tools is not yet so great. As for midsize companies, many of them never got down to serious business analytics work at all.

However, a noticeable trend towards the use of the Data-as-a-Service model, which can simplify the storage and use of large amounts of data for a wide range of companies, including medium and small ones, can now be a catalyst of interest in BI from customers. Today, one of the main obstacles for clients on the way to the widespread use of BI is a rather high price threshold for entry, the high cost of even a product with minimal parameters (both in terms of the amount of functionality received and the number of client licenses). The emergence of specialized BI services and a subscription model for them allows companies to start more active work with business intelligence at a significant reduction in initial costs, and then increase your investments in this area as you get a real effect.

Competitive environment

Today's group of leaders of the world BI-market was formed in 2006-2008. as a result of the acquisition by IT giants of a number of leading specialized players at that time (Oracle bought Hyperion, SAP - Business Oblects, IBM - Cognos). If we look at the resulting balance of power in the quadrant of early 2009 (Fig. 2), we will see three specialized players (Information Builder, MicroStrategy, and SAS), three mega-vendors (IBM, Microsoft and Oracle) and ERP giant SAP, while in the plan overall strategy SAS was ahead of development, and IBM was ahead in terms of sales.

Now, four years later, the situation looks different: the leaders quadrant has become quite crowded - Tableau Software, QlikTech and Tibco Spotfire have joined the 2009 seven. In general, Gartner now sees significantly more BI providers and they are located in two opposite corners of the quadrant - in the group of leaders and in the group of niche players. An interesting point: the leading segment is being replenished with specialized developers, there are no new participants from among the IT giants (and HP and Google were mentioned as possible new players two or three years ago), there were no major acquisitions on the market.

SAS lost its leadership on the criterion of "completeness of vision" (two years ago it seemed that the company could leave the leading group altogether, but then it added in its affairs), then IBM came out on top, followed by SAP. But in terms of "market presence" ahead of Microsoft, which was able to sharply accelerate in this direction compared to last year (Fig. 3). It is worth recalling that even in the era of “big deals” in the BI market, Microsoft announced its ambitious plans in the field of business intelligence, launching the promotion of its then-new PerformancePoint Server product. But then the corporation realized that it had somewhat overestimated its strengths in creating business performance management tools, and decided to be present in this market within its traditional competence, relying on the “BI trident” - SQL Server, Excel and SharePoint.

Separately, it should be noted that a year ago, the BI-quadrant included Russian company“Forecast” (Prognoz). By the end of 2012, it was able to significantly strengthen its positions and, although it is still in the segment of niche players, judging by the dynamics of development, it has every chance to become a candidate this year. Let's pay attention to the fact that, in its view of market participants, Gartner brought brief history“Forecast” (which is usually not done in the report), indicating its exact location - Russia, Perm.

It is also interesting to note that Prognoz enters the world arena precisely through Russian market(unlike our other "world-class" developers, who initially focus on foreign customers, and only then begin to explore local spaces). Gartner emphasizes in its commentary that the Forecast still has a lot to do to gain a prominent position in Western Europe and the United States.

In general, among the main events of 2012 in the BI market, Gartner notes the following points:

  • MicroStrategy was able to significantly improve its Visual Insight product;
  • SAP announced the release of Visual Intelligence;
  • SAS introduced Visual Analytics to the market;
  • Microsoft has leveraged its PowerPivot with Power View;
  • Oracle acquired Endeca;
  • Actuate bought Quiterian.

Analysis of these market events shows that most of them are associated with the development of the data discovery direction, which today is one of the main vectors of the BI market. It is associated with the use of such new technological capabilities as the use of built-in data storage and multilayer computing architecture (in particular, storing data in RAM and performing processing on columns of tables), in-depth data analysis, as well as data integration based on the principles of a friendly business orientation. users.


How do developers make cars safer? They refer to them as "a school of fish". Safe Swarm technology, recently unveiled by Honda, is a communication between cars to transfer information to each other. For example, crash alerts can be sent back miles, allowing vehicles to act together and intelligently to avoid accidents and reduce traffic.

The evolution of smart things, such as car flocks, is one of 10 strategic trends that will affect a large number of industries and have tremendous potential.

“The continuing evolution of digital business is creating new digital models for deeper interactions between the physical and digital worlds for employees, partners and customers,” David Searley, Vice President and Gartner Fellow, said at the 2017 Gartner / ITxpo Symposium in Orlando. " Digital technology will be embedded1 in all aspects of the business in the future. "

The “smart” digital network is the main trend in the digitalization of society.

Gartner calls the interweaving of people, devices, content, and services a “smart” digital network. It is packed with digital models, business platforms and a rich set of smart servos.

“Smart” - AI, which seeps into virtually all technologies with a specific, well-oriented focus, allows the creation of more dynamic, flexible and potentially autonomous systems.

Digital - the interpenetration of the virtual and real world allows you to create the effect of digital presence in a connected environment

Network - interconnection (mixing) of people, business, devices, content and services

One way or another, all trends for 2018 are related to this:

Trend # 1: AI

Companies that are already starting to use AI to improve decision-making efficiency, create new business models and ecosystems, and study their customers will own all markets by 2025.

With the ever-increasing demand for AI, it is clear that interest is growing. A recent Gartner study found that 59% of organizations are still collecting information to develop their AI strategies, while the rest have already made progress and are piloting. (I’ll add statistics from myself - in the UK, the demand for AI specialists exceeds their availability by 2 times. And this is just the beginning. Who is related to IT - repurpose, and for the coming years you will be provided with an interesting job)

Although the use of AI is a great advantage, it is not yet necessary to say that we are on the verge of creating a global AI that will completely replace humans. Narrow specialized AIs that are focused on a specific task (like playing Go, understanding a language, or driving a vehicle in a controlled environment) is where we are today. “Businesses should focus on narrow AI technologies and leave global AI to researchers and science fiction writers,” says Searley.

Trend # 2: Smart Apps and Analytics

Over the next several years, every application, program or service will use AI at one level or another. AI will be implemented and will work quietly in most of the applications you already use, and at the same time, a huge number of completely new AI-based applications will be created. “Ask your software and digital service providers how they plan to use AI in new software releases, ask if there will be advanced analytics, smart processes and advanced user experience. And after answering, think about whether you should change the supplier so as not to lose, ”says Searley.

Smart apps also create a new intelligent layer between people and systems and have the potential to transform both the structure of the work itself and the workplace. There are already such examples - virtual assistants and advisors both for the clients of the companies and for the internal needs of the business of the companies themselves.

“Explore and implement smart apps to support human activity and not just as a way to replace people, ”says Searley.

Advanced analytics is growing strategic area, which uses machine learning to automate data preparation, information retrieval, and information sharing for a wide range of businesses, personnel, and academics.

Trend # 3: Smart Things

Smart things use AI and machine learning to interact more intelligently with people and environment... Some “smart” things will not exist without AI, others already exist, and AI makes them “smart” (for example, cameras). These things operate semi-autonomously or autonomously in an uncontrolled environment. For example, a robot vacuum cleaner or autonomous agricultural equipment. As AI and machine learning advance, smart things will increasingly appear in fields ranging from intelligent medical equipment to autonomous harvesting robots for farms.

As smart things spread, expect a shift from autonomous things to a swarm of smart things. In this model, several devices will work together, independently or under human control. (I already wrote about such an example in the article about swarms of drones)

Trend # 4: digital twins

A digital twin is a representation of an object or system of the real world in the digital world. In the context of the IoT, digital twins are associated with objects in the real world. (For example, a refrigerator connected to the network) By 2020, digital twins will already exist for 21 billion devices.

Outside the IoT, there is a growing number of digital twins of more than just “things”. “Over time, digital representations of virtually every aspect of our world will be dynamically linked to their real-life counterparts. There will be almost limitless possibilities for modeling in any situation, ”says Searley. For example, future digital twins of people will contain all biometric and medical data, and digital twins for entire cities will allow any kind of simulation.

Trend # 5: Cloud Edge Computing

Edge (or edge) computing allows data to be processed closer to where it is generated, rather than sending it along long routes to data centers or clouds.

Performing these calculations closer to the edge of the network allows organizations to analyze critical data in near real-time — a need for organizations in many industries, including manufacturing, healthcare, telecommunications, and finance.

While it is generally accepted that cloud and edge computing are competing approaches, this is a fundamental misunderstanding. The best solution for today looks like a more or less combination of these two models to improve the efficiency of their joint work, ─ edge computing, where the most important parameter is time, and cloud computing, which is characterized by high security and the ability to process large amounts of information.

Trend # 6: Dialogue platforms

Dialogue platforms are designed to facilitate communication between humans and computers. Already, the systems are capable of giving both simple answers (what is the weather?) And more complex actions (book a table at an Italian restaurant on Parker Boulevard for 18 hours). These platforms will continue to evolve to even more sophisticated ones. Well, for example, they will be able to collect oral testimony from witnesses of crimes and draw up a composite sketch. The main problem facing dialogue platforms today is that users have to speak in a very structured way. The developers are working on this problem now.

Trend # 7: presence effect

Augmented reality (AR), virtual reality (VR) and mixed reality are changing the way people perceive and interact with the digital world. Combined with conversational platforms, there will be a fundamental shift in how the user interacts with an invisible and immersive experience. These are very impressive emotions and app providers and software and development platforms will compete strongly for consumer emotions.

Over the next five years, the focus will be on mixed reality, which is becoming an immersive experience where the user interacts with both digital and real objects while maintaining a presence in the physical world. Given the ubiquity of mobile devices, the release of Apple's ARkit and iPhone X, Google's Tango and ARCore, and the availability of cross-platform AR software development solutions like Wikitude, we expect the battle on this field to be very hot in 2018.

Trend # 8: Blockchain

I did not translate this section. Blockchain has set the teeth on edge. The only thing I can say from myself is that in 2018 the 2nd wave of ICOs is expected, but much better quality projects, and not that fraudulent crap that flooded the entire 2017 on the ICO hype.

Trend # 9: Event thinking. Event-driven

Efim Natis - Researcher Gartner:

“Today, you cannot get into digital business simply by attending conferences, reading books and understanding certain aspects. The only way to build a successful IT business is to understand that you are currently thinking dynamically in real time. You are always ready, always have your finger on the pulse and always learn. This is the essence of event thinking ”.

It also becomes vital for a business to track business events that should lead to certain actions in the online mode. The most important business events are those that affect several parties (several lines of business, several partners, etc.)

With the advent of AI, IoT, and other technologies, business events can be detected more quickly and analyzed in greater detail. Companies must embrace event-driven thinking as part of their digital business strategy. By 2020, real-time event awareness will be a necessary feature for 80% of digital business solutions, and 80% of new business ecosystems will require support for streaming event processing.

Trend # 10: Continuous Adaptive Risk and Trust

In a complex digital world, where the digital environment is rapidly changing, the standard approach to security - black and white / allow / deny is no longer effective.

A new approach to security - CARTA (Continuous adaptive risk and trust assessment). It consists in continuously assessing risks and the degree of confidence, adapting to the situation. And this applies to all business participants: from the company's developers to its partners. In practice, this means primarily using data analytics.

The CARTA approach implies the need to constantly monitor all, including reputational, risks arising in the ecosystem, and the ability to adapt to the situation.

During the planning stage, Gartner recommends that you accurately calculate the risks that the company can afford in terms of information security... For example, how long the system can be unavailable without damage to reputation and without significant losses. In some cases, it will be two hours, in others, three minutes may be critical. Mathematical modeling and predictive analytics help explain these risks in terms that the business can understand.

Solution providers, according to CARTA principles, must meet five requirements: provide open APIs and full access to data at no additional cost, support modern IT practices such as containers and clouds, as well as a variety of detection methods, enable adaptive policies, for example, change security settings depending on the context.

One new practical tool that is in line with the CARTA principles is the so-called micro-segmentation. This approach is gaining popularity and has been actively discussed over the past couple of years. The idea is to break up the information corporate system on separate sites and put protection on each of them.

Irina Menshikova

The analytical company Gartner has drawn up the next schedule of technology maturity - Hype Cycle for Emerging Technologies, which demonstrates which technologies have found their application and continued development, which are receiving increased attention and which are just emerging.

Gartner's 2017 technology hype cycle is focused on three megatrends: ubiquitous artificial intelligence (AI), transparent immersive experimentation, and digital platforms. Company architects and technology innovation leaders must explore and develop these three areas to understand exactly how these technologies can impact their business in the future.

“Companies will continue to face rapidly evolving technology that will have a profound impact on how management interacts with employees, customers and partners,” said study head Mike Jay Walker. "Our 2017 curve illustrates three major technology trends that are driving new experiences with unmatched intelligence and offering companies platforms that encourage them to become more familiar with new business ecosystems and become competitive over the next 5-10 years."

And the graph just demonstrates the technologies that can potentially provide various companies high competitive advantage.

Ubiquitous artificial intelligence

Consider the possible impact of autonomous Vehicle equipped with artificial intelligence. They can reduce accidents, improve road traffic and even slow down the pace of urbanization, as people will be spending time efficiently on the road and not needing to live in close proximity to city centers. “When autonomous vehicles combine such Newest technologies like AI and IoT, with economic trends such as the sharing economy, business projects are beginning to emerge in the world that can truly revolutionize the market, ”says Walker. Uber is a prime example of how a company can revolutionize an industry dominated by private cars and transform transportation into another service for society.

There has been so much media coverage of autonomous vehicles that expectations for this advanced technology have been overblown. However, given the fact that AI is incredibly important for further technological development, the number of developments in the field of machine reading algorithms has increased markedly. While further advances in perception, visualization, and mapping - as well as AI and computer technology - are helping to advance this technology, in fact, the complexity of the entire system and its high cost present us with a number of challenges.

“AI technologies will be the most devastating in the next ten years because of their radical processing power, almost infinite amount of data, and unprecedented advantages in deep neural networks,” says Walker. "This will allow organizations working with AI technologies to use data to adapt to new possible situations and solve problems that no one has encountered so far."

In addition, in the field artificial intelligence One of the most important technology concepts, machine reading has great potential for companies ranging from supply chains to pharmaceutical research. Soon, traditional software engineering will no longer be able to handle the ever-increasing amount of available data. And machine reading after a series of observations allows you to extract certain knowledge and identify patterns.

Transparent immersive experiments

This year, at Facebook's F8 conference, the company unveiled the Camera Effects Platform, which showcases the connection between augmented reality (AR) and social media. This sparked a flurry of discussions on AR capabilities in the consumer world. However, technology combining virtual gimmicks and real-world objects could have great potential for the entire industry. For example, instead of looking at a paper or electronic diagram of anything, you can use AR, which is able to superimpose this diagram on a specific object. Companies should implement an AR strategy in their business with specific goals and objectives for testing and achieving benchmarks.

Transparent-immersive technologies provide transparency between people, companies and things. As technology evolves to become more adaptive, contextual, and fluid, it will become more and more human-centered. So beyond AR itself, companies should consider digital workplaces, connected homes, virtual reality and 4D printing.

Digital platforms

Since Bitcoin and Ethereum (a platform for building decentralized online services based on the blockchain) are constantly in the news, it seems that the emergence of blockchain is not far off. However, most of the initiatives in this area are still in their early stages. Businesses are still deciding how to navigate this technology, but concerns about its viability are driven by the lack of proven use cases and the volatility of Bitcoin. However, Gartner is confident that in the long term, this technology will lead to the reform of the entire industry.

Of the two types of blockchain - publicly available ledgers and publicly controlled ledgers - businesses should choose the latter. Publicly controlled registries have access controls that are fully regulated, but still open to the community. For commercial transactions, companies should use publicly available ledgers - such as Bitcoin - that allow unknown or unverified users to access the ledger.

As digital business moves further away from slow processes and increasingly turns to interconnected ecosystems, the fragmented technology infrastructure itself becomes an ecosystem powered by platforms. The industry needs to think about how to create platform-based business models and what technology needs to support this move.

Other technologies in this area include 5G, digital twins, IoT platforms, and quantum computing.

Information Builders continues to be a Leader in the Gartner Magic Quadrant in 2012.


New York, - February 9, 2012 -companyInformationBuilders, an independent developer and provider of business intelligence solutions ( BI ) reports that analyst firm Gartner estimates it is still in the Leaders segment of the Magic Quadrant. Gartner with its popular productWebFOCUS.

Platform WebFOCUS from InformationBuildersgives users access to data and analytics through dashboards, mobile analytics and ad hoc reports. Thanks to the platform's intuitive design, even non-tech-savvy users can work at the same level of advanced reporting as their counterparts from IT -departments. This solution is increasingly being used by Information Builders customers to expand access to analytic data outside of the organization, allowing these companies to increase their customer loyalty and satisfaction by providing data access to end users. One of the advantages of the platformWebFOCUS- advanced level of mobile analytics. Users can work with reports on any devices (smartphones, tablets) and anywhere.WebFOCUSintegrates perfectly with another solutionInformationBuilders- a platform for data managementiWay... Product iWayallows you to work with large amounts of data in real time, is responsible for data profiling, data quality management.

As reported in the report Gartner , “On the significant growth of the market BI -platforms 2011 was influenced by an increase in demand from a wide range of users: ordinary employees, business analysts, company executives, IT specialists. Each new type of users and their specific requirements are reflected in the existing BI -platforms and caused certain changes in the reporting and analytics systems that were used earlier. "

“Business intelligence is gaining increasing acceptance from operations managers, external users, and other stakeholders, not just limited to IT company departments, ”said Gerald Cohen, President and Chief Executive Officer Executive Director companyInformationBuilders... “Given the massive proliferation of business intelligence and the recognition of its importance for companies, we are even more pleased to be among the leaders in this market according to Gartner ... We are confident that this fair assessment is based on the main distinguishing featuresWebFOCUS: intuitiveness, flexibility and the ability to provide deep, detailed analysis for each user, regardless of their level of technical education. "

You can download full report company Gartner “The Magic Quadrant in the Business Intelligence Platforms Market” by filling out a questionnaire.

About InformationBuilders

InformationBuildersdevelops and delivers software and services to help employees of leading companies in business, public sector and education around the world make fast decisions and streamline business processes. The company's products have been implemented in tens of thousands of companies, helping millions of users in their work. PlatformWebFOCUSallows you to work with scalable applications, analytics and client portals of the next generation. Integration solutioniWaySoftwaregives companies the opportunity to use all information resources to optimize internal and b 2 b processes due to the increasing availability and integrity of information regardless of the complexity of the environment.

2016-08-08T09: 22: 34 + 00: 00

Analysts of the Gartner portal evaluated modern innovations and clarified which technologies are at the peak of development, which ones will be in demand in the very near future, and which ones are gradually fading away.

They reflected their vision of trends graphically using a kind of "cycle of maturity" (Hype Cycle for Emerging Technologies, 2015).

At the peak of development - the Internet of Things (Internet of Things, IoT) and Autonomous Vehicles. Gartner estimates that by 2018 there will be about 6 billion connected to global network devices. But Big Data, as the leading trend of the last few years, has lost its priority importance. This is due to the fact that many of today's technologies, "in contact" with Big Data, are becoming everyday.

In addition, according to the volume of investments and carried out in the world scientific research, at the peak of development are: solutions for visualization and self-analysis (Advanced Analytics with Self-Service Delivery), quick on-line translation from one language to another (Speech-to-Speech Translation), machine learning (Machine Learning). Gartner experts expect in the near future solutions for data storage and parallel access to them (NoSQL Database), systems for preliminary processing of information flows (Marshalling) and tools intellectual analysis data (Business Intelligence and Data Mining), which are already reaching a new technological level of development.

In terms of prospects, Gartner analysts have identified 10 Technology Trends

Trend # 1. Network Devices (The Device Mesh)

Network terminal devices that connect human-used gadgets such as smartphones, consumer and home electronic devices, mobile devices in a single information space. personal computers, embedded automotive devices, transportation infrastructure and environmental sensors. Connected, for example, via GPS or GLONASS to the Internet of Things (IOT).

Through a single network, end users have instant access to applications and useful information. To interact through the network with other people, social communities and groups, government agencies, use in work.

Trend # 2. Ambient User Experience

By 2018, it is predicted to work through the network not only of individual mobile devices, but also of factories and industries. Ability to create general rules and support a unified interaction interface will become important factor differentiation of software vendors and enterprises.

Trend # 3. Materials for 3-dimensional printing (3D Printing Materials)

The development of 3D printing technologies led first to an increase in quantity, and then to an increase in quality and to a decrease in the cost of the materials used for this purpose. Including nickel alloys, carbon fiber, glass, conductive ink, pharmaceutical and biological materials. Therefore, the continued growing user demand will drive the emergence of new and new materials.

So soon 3D printers will find practical use in new areas such as aerospace, medicine, automotive, energy and military-industrial complex... Enterprise 3D printer shipments are projected to grow at a CAGR of 64% through 2019.

Trend # 4. Information of Everything

Existing computing systems process data in the form of numbers, text, audio or video. The emergence of new types of transmitted and received data, for example, sensory and contextual information, will lead to the emergence of new methods of data processing and to the unification of new sources.

Today, such sources of information are isolated from each other, do not differ in the completeness of data presentation, sometimes they are completely inaccessible for general interaction. New technological advances based on the methods of semantic analysis and the construction of graph databases, along with other new methods of data analysis and classification, will help to streamline the chaotic nature of "Information about everything" or the so-called information universe.

Trend # 5. Advanced Machine Learning

Advanced machine learning and deep neural nets (DNS) will be the next step in classical computing and information management. Consequently, the basis for creating systems that can autonomously learn to perceive the world, i.e. work independently, without direct human participation. The rapid growth of data sources and the complexity of the information being processed will make classification and analysis carried out in the "old fashioned way" impossible and economically unprofitable. Therefore, DNS will allow you to automate such tasks and solve the problems associated with the increasing volume of information that is difficult to process.

Trend # 6. Autonomous Agents and Things

Machine learning will lead to a spectrum of smart machines and related things, including robots, autonomous vehicles, virtual personal assistants (assistants), and smart (smart) advisor advisors who will act autonomously (or at least semi-autonomous) mode. In the near future, there will be progress in developing software for such smart machines. And a convenient, simple and intuitive user interface will play an important role in this. The predecessors of autonomous agents today are Google Now, Microsoft Cortana, and Apple Siri. Thus, according to Gartner estimates, by 2020, autonomous software agents that do not need personal control of a person will participate in 5% of economic transactions, and 40% of interactions with mobile devices will be carried out through "smart" assistants.

Trend # 7. Adaptive Security Architecture

Reliance on perimeter defense and the use of security policies are no longer a sufficient condition for protection. Especially for organizations using cloud services or services, open interfaces for their customers and partners. CIOs will need to continue to focus on identifying external threats, but in addition to the current security measures, it is necessary to turn to more complex adaptive techniques, including the analysis of user behavior, network communities and use them in practice. Gartner estimates that by 2020, 95% of security problems will be caused by customers, not service providers.

Trend # 8. Improvedsystem architecture (Advanced System Architecture)

Digital networks of devices and smart machines are constantly pushing for the intensification of computational architectures to make their interactions viable and profitable for organizations. As a result of this research and development, effective neuromorphic architectures will emerge. They will be based on field-programmable gate arrays (FPGAs) and graphics processing units (GPUs), which will operate at speeds higher than teraflops, and with high energy efficiency.

Trend # 9. Mesh App and Service Architecture

Monolithic linear application development (for example, three-tier architecture) will give way to more flexible application architecture based on software-defined services. This approach will lead to increased web-scale performance, flexibility, and responsiveness. For example, micro-service architecture will provide a new model for building distributed applications, supporting flexible data delivery and providing scalability for deployments, both on local corporate computers and in the cloud.

Trend # 10. Internet of Things Platforms

IoT platforms are already complementing network applications and service architectures today. Therefore, governance, security, integration with other technologies and standards for the Internet of Things form the basic set of capabilities for building and managing such platforms. However, the first standard for the IoT platform is expected to arrive no earlier than 2018. This is why, for 2016, Gartner researchers identify the Internet of Things, including the development of appropriate platforms, as one of the most important technology trends.

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