Corporate Information Systems

White Paper: Global IT Market Trends

Digital Transformation Costs

Main article: Spending on digital transformation

Trends in the development of the IT infrastructure of companies

White Paper: IT Infrastructure in Companies

2024: Top 10 corporate IT trends named

On January 27, 2024, SiliconAngle, together with specialists from Enterprise Technology Research, named 10 main trends in the field of corporate IT. It is expected that in 2024 the active development of generative artificial intelligence services and cloud platforms will continue. In addition, companies will pay attention to improving information security systems.

1. Increased costs in the corporate IT market

According to the authors of the report, cost growth in the IT segment will continue globally in 2024. According to the survey, in 2023, total expenses increased by approximately 3.4% on an annualized basis. In 2024, this figure may be higher - plus 4.3%. Uncertainties continue to persist in the market, with businesses adopting a quarterly approach to investment planning, largely dependent on earnings estimates and overall economic conditions. Federal Reserve policies and actions continue to play a significant role in shaping market practices and buying behavior.

IT costs will continue to grow globally in 2024

2. Artificial intelligence

Analysts say the tech sector will continue to be in the transformation phase in 2024. Hyperscalers and big data companies can count on leadership in AI applications. The success of companies in this rapidly developing environment depends primarily on their ability to implement and implement comprehensive AI strategies, and not just sell "surface" products. Strengthening the position of the largest players in the field of AI will be facilitated by the conclusion of partnership agreements throughout the ecosystem.

3. ROI in AI

A significant number (57%) of organizations expect to achieve a return on investment in AI technologies during 2024, and 40% expect this to happen during the first half of the year under consideration. This suggests a high level of confidence in the effectiveness and effectiveness of AI technologies. However, despite the optimism, there are a number of obstacles - data quality, legal problems, privacy issues, etc. It is noted that the perceived benefits of implementing generative AI, such as significant savings in personnel costs, could outweigh concerns about licensing costs if the technology proves effective.

4. Generative AI and private clouds

While cloud giants are leading the way in generative AI as of early 2024, industry development is being notably influenced by open source initiatives (such as Llama 2) and independent players. About 30% of Llama 2 deployments are done locally, with some analysts believing the figure could be as high as 50%. Companies dealing with sensitive data are particularly cautious when deploying cloud technology, preferring private platforms to maintain control over information. In addition, issues remain related to the regulation of the generative AI sector.

5. Ensuring cybersecurity

According to the authors of the report, in 2024, AI tools will be increasingly used in the field of cybersecurity. This applies primarily to areas such as user identification, vulnerability management, security of end devices and networks. Analysts expect the consolidation trend in cybersecurity to continue.

6. M&A M&A (), IT going public

Analysts predict growth in M&A and IPO (initial public offering) activity in the technology sector. In 2024, the intensity of small initial rounds of funding is expected to increase, especially in the areas of AI and cybersecurity. This trend is due to the efficiency and potential of the relevant technologies.

Uncertainties remain in the market, with businesses taking a quarterly approach to investment planning

7. Data Quality and Management Challenges

Prioritizing data quality, data lakes, credibility, integration and management is critical for companies looking to harness the full potential of generative AI. This, researchers believe, will contribute to the formation of reliable ecosystems. Moreover, it is the provision of high data quality that is a priority that outweighs other aspects in information processing and analytics projects.

8. Increasing demand for specialists with new skill sets

The development of generative AI, as well as low-code/no-code platforms, creates a demand for employees with appropriate skills. This includes understanding the principles of new generation user interfaces and issues of ethical application of AI. Analysts predict a sharp increase in the number of educational programs from IT training companies.

9. AI and clouds will help IT companies grow their business

According to the authors of the report, companies such as Cisco, Oracle, IBM, Dell and HPE will be able to strengthen their market position in 2024 thanks to the innovative use of AI and cloud technologies. The concept of a hybrid cloud is gaining momentum. In addition, a comprehensive cycle of hardware updates is expected, including servers, storage systems, and personal computers.

10. Technology priorities

Cybersecurity, analytics, artificial intelligence and cloud technology will remain the companies' top technology priorities in 2024. However, the nature of cloud adoption is changing. The focus shifts from simple migration to innovation and new workloads in the cloud.^[1]

2023

Generative AI, AI-based applications, bots and other IT trends from Gartner

Given the current macroeconomic environment, high inflation and market uncertainties, companies, according to Gartner experts, should assess the impact of technological trends on their business. On October 16, 2023, Gartner analysts released a list of ten key IT trends for 2024. The main focus is on democratization, security and the development of augmented capabilities of artificial intelligence.

1. Democratization of generative AI (GenAI)

GenAI applications can make sources of various information - internal and external - accessible to business users. By 2026, more than 80% of businesses are projected by Gartner to start using GenAI APIs and models and/or deploy GenAI-enabled applications in production environments versus less than 5% in early 2023. Democratization of the relevant area will make scale AI models available to workers around the world.

2. AI Trust, Risk and Safety Management

The introduction of such tools is becoming more relevant as the AI industry expands. Without the use of control tools, AI models can quickly generate complex negative effects that get out of control and overlap any positive results and social benefits. Gartner believes that by 2026, enterprises using AI management tools will improve decision-making efficiency by eliminating up to 80% of erroneous and illegitimate information.

3. Developing advanced AI capabilities

The application of AI and machine learning will help software developers design, code and test applications. Programmers will be able to spend less time writing code and pay more attention to strategic tasks.

4. Smart AI-based applications

Applications using AI-based algorithms provide capabilities that dynamically adapt to the needs of a particular user. AI tools can be deployed in a variety of scenarios to improve or automate workflows.

5. Augmented Workforce Development

This concept uses AI applications and analytics tools to generate relevant recommendations in order to maintain the experience, well-being and ability of employees to develop their own skills. Ultimately, this approach will help improve business results.

6. Continuous Risk Management

This is a systematic approach that allows organizations to continually assess the availability, reliability, and usability of their digital and physical assets. The concept makes it possible to identify not only vulnerabilities, but also problems that cannot be fixed.

7. Clients boats

These are automated non-human entities that can independently negotiate and purchase goods and services, as well as provide payment. Gartner estimates that this area of ​ ​ the IT market will become a source of revenues of trillions of dollars by 2030.

8. Sustainable Development Technologies

It's about a set of IT solutions that help drive environmental and social transformation. These are, in particular, technologies that increase the energy efficiency of systems and reduce emissions of harmful substances into the atmosphere. Such solutions will ensure the sustainability of the business in the long term.

9. Platform engineering

This area includes the creation and operation of self-service internal development platforms. The main goals are to optimize performance, improve user experience and accelerate business results.

10. Industry Cloud Platforms

By 2027, more than 70% of businesses are projected by Gartner to use industry cloud platforms to accelerate their business initiatives against less than 15% in 2023. Such systems will combine SaaS, PaaS and IaaS services into a single environment with built-in functions.

Top Strategic Technology Trends 2024

Named technologies that play a decisive role in the global digital transformation

Generative artificial intelligence will significantly affect the global IT market, as well as provide important advantages in terms of digital transformation of enterprises. This is stated in a study by Gartner, the results of which were released on August 16, 2023.

The popularity of many new artificial intelligence techniques will have a profound impact on the business sector and the public sphere. Pre-training and scaling basic AI models, ubiquitous adoption of dialog agents, and the proliferation of generative AI-based applications portend a new wave of increased productivity and improved creative processes, says Arun Chandrasekaran, vice president of analytics at Gartner.

While the spotlight is on rapidly evolving AI technologies, Gartner recommends that CIOs and CTOs not lose sight of other new technologies with the potential to transform the industry. In general, there are four key areas that will play a decisive role in the global digital transformation.

New artificial intelligence tools

In addition to the generative direction, several other types of AI have great potential in terms of improving the quality of digital customer service, making more effective business decisions and providing competitive advantages. These areas include AI-based simulation simulations, causal AI (a technology that allows neural networks to make informed decisions), neurosymbolic AI, etc.

Developer Experience (DevX)

This area covers all aspects of developer interaction with tools, platforms, processes and people. Gartner analysts point out that the development of DevX is critical to the success of the digital initiatives of most enterprises. It is also important to attract and retain qualified professionals, maintain high team morale and motivate employees. Key technologies contributing to DevX improvements include software AI-based creation, API-oriented services (SaaS as a software service), internal developer portals, and open source solutions.

Comprehensive cloud

Cloud computing, Gartner predicts, will transform from a technology innovation platform into an all-encompassing driver for business innovation. Maximizing your return on your cloud investment will require auto-scaling operations, access to cloud platform tools, and proper management. Key technologies enabling cloud ubiquity include cloud development environments, industry cloud platforms, and advanced FinOps tools (combining financial management with cloud design and operations).

Human-centric security and privacy

People, as noted, remain the main cause of cyber incidents, including data breaches. Therefore, the implementation of human-centric security and privacy tools is key to the sustainability of the entire organization. New technologies allow businesses to create a culture of mutual trust and understanding of common risks when making decisions between teams. Recommended tools include cellular cybersecurity architecture, generative AI for security, homomorphic encryption, and post-quantum cryptography.^[2]

2022

IDC: 10 Forecasts for Using IT for Better Customer Experience

In November 2022, IDC released a forecast for the use of information technology (IT) by the business to improve customer interaction and improve operational efficiency. Analysts note that companies in the B2B and B2C sectors will have to face a growing set of macroeconomic problems, in particular inflation and global instability. At the same time, it is necessary to focus on new hybrid models of work and organizational leadership. For example, CX managers will have to rely on a comprehensive technological framework, including customer data, artificial intelligence and machine learning, as well as zero-trust architectures.

Шаблон:Quote 'In a world of increasing uncertainty, the next era of customer service innovation will be led by brands that add value to the customer through responsiveness and success, IDC emphasizes. Analysts presented a list of ten forecasts for improving customer experience. In the future, experts believe, to ensure business sustainability, enterprises will have to go beyond the usual interaction with customers at the level of basic operations.

• Forecast 1. By 2027, a quarter of global brands will abandon the Customer Satisfaction Index (CSAT) as a service quality assessment tool and switch to the Consumer Effort Index (CES), which shows how much effort the customer needs to spend to solve their problem.

• Forecast 2. By 2024, 50% of the world's 2,000 largest public companies (Global 2000) will use Customer Data Platforms (CDPs) as a corporate service for real-time customer engagement, which will increase revenue by approximately 5%.

• Forecast 3. To increase loyalty and improve competitiveness, 64% of Global 2000 companies will own online communities by 2027, and the integration of core IT applications will provide a new level of collaboration and results analysis.

• Forecast 4. By 2026, 40% of Global 2000 companies will implement employee experience assessment (EX) initiatives in their key strategies to streamline business processes.

• Forecast 5. The introduction of Web3 technologies will force 45% of global brands to create a new immersive experience, accessible content and interested communities, and by 2024 the CX segment will grow to $300 billion.

• Forecast 6. By 2026, 45% of companies on the Global 2000 list will use artificial intelligence and machine learning technologies to attract customers to unfamiliar and new experiences, which will boost sales.

• Forecast 7. By 2024, at least 30% of organizations will introduce new valuations to track and measure internal and external consumer values.

• Forecast 8. By 2025, 50% of corporate clients of companies from the Global 2000 list will choose a CX platform provider based on information on the effectiveness of the services provided in terms of ensuring success.

• Forecast 9. By 2024, 30% of organizations will be forced to strengthen data management and privacy measures in order to reduce the risks of information leaks due to the fault of partners, which cost an average of $4.6 million per cyber incident.

• Forecast 10. By 2026, 40% of companies in the Global 2000 ranking will create safe communities to strengthen interpersonal barriers to future platforms using the metaverse concept.^[3]

Gartner Names 10 Strategic IT Trends for 2023

On October 17, 2022, the analytical company Gartner presented a list of ten strategic technology trends that organizations are advised to take into account in 2023. The rating was announced during the Gartner IT Symposium/Xpo 2022 event.

{{quote 'To improve the financial situation during a period of unstable economic situation, Chief information officers and heads of relevant departments should not only save money, but also look for new ways to improve efficiency, while continuing to accelerate digital transformation, experts say. }} Gartner's strategic trends in technology for 2023 cover three main areas - optimization, scaling and innovative solutions. The list presented includes:

• Stability

Environmental and social change are now top priorities for investors after earnings and earnings, the survey found. This means that company executives should invest more in innovative products designed to meet the demand for ESG solutions (environmental, social and corporate governance) to achieve sustainable development goals. We are talking about the introduction of analytics and artificial intelligence (AI) tools, the use of renewable energy sources, etc.

• Metauniverse

Analysts talk about the need to develop the concept of the metaverse - a virtual space in which users can interact with each other through their avatars. By 2027, more than 40% of large organizations worldwide are projected by Gartner to use a mix of Web3, augmented reality cloud and digital twins in metaverse-based projects to boost revenue.

• Superapplications

These solutions combine the capabilities of a traditional application, platform, and ecosystem. Superapplications not only have their own set of features, but also provide a platform for third-party developers to develop and publish their own gadgets. A super application can combine and replace several common software tools.

• Adaptive AI

Artificial intelligence systems with adaptive functions are focused on constant retraining of models taking into account incoming data. This allows you to quickly adapt to changes in real-world conditions that were not envisaged or were not available during the initial development. Real-time feedback is used for dynamic learning and goal adjustment.

• Digital Immune System

Digital immunity combines operations analysis, automated testing, automatic incident resolution, software development within IT-operations, and supply chain security. This approach helps to reduce risks and increase customer satisfaction, and therefore increase revenue.

• Applied observability

The concept allows organizations to use their data artifacts (logs, API calls, file downloads, etc.) to gain a competitive advantage. This information can help with strategic planning and organizational decision-making.

• AI Trust, Risk and Safety Management

Organizations should implement new capabilities to ensure model reliability, security, and data protection in AI-based systems. This will help to increase the effectiveness of projects in this area.

• Industry Cloud Platforms

Such solutions offer a combination of SaaS (software-as-a-service), PaaS (platform-as-a-service) and IaaS (infrastructure-as-a-service), providing service sets to support specific industry use cases. Enterprises can leverage cloud platform capabilities as "building blocks" to deliver unique and differentiable digital business projects.

• Engineering platforms

The direction provides for the creation and use of developer platforms that provide software delivery and lifecycle management. The goal is to speed up the work of product teams.

• Wireless Value Analysis

Gartner predicts that 60% of businesses will use five or more wireless technologies at the same time by 2025. In such a situation, wireless networks will become a source of immediate business value.^[4]

Gartner names 7 IT trends that will greatly change sales in the coming years

On October 10, 2022, Gartner released a report naming seven technology development trends that would alter sales over the next five years.

{{quote 'Technology is taking on an increasingly important role in the sales process, and sales directors (CSOs) need to get ahead of a number of innovations that will significantly change sales strategy, audience engagement, pricing, and enabling environments, "said Noah Elkin, vice president of sales practice at Gartner. }}

Elkin cited seven key trends for executives to prepare for in the next five years:

• "'Machine Clients

Machine customers are non-human economic entities that receive goods or services in exchange for payment. For many organizations, the idea of ​ ​ selling to machine customers has not yet become a reality, but it is gradually becoming one. Sales managers should start building sales teams that can effectively address human, machine, and hybrid sales challenges.

• "'Generative AI

Generative AI learns from existing content materials to generate new, parameter-appropriate materials that reflect the characteristics of the training data but do not repeat them. Generative AI can create a variety of new content such as images, videos, music, speech, text, program code, and product design. By 2025, 30% of outbound content from large organizations will be generated synthetically.

• "'Digital Client Twin

A digital client twin is a dynamic virtual embodiment of a client. It fills with information from the user's personal data and analyzes advertising materials, marketing processes and marketing campaigns to predict what will work and what will not for a particular client. The digital twin software and services market is expected to reach $150 billion worldwide by 2030, up from $9 billion in 2022.

• AR/VR

By 2025, 80% of supplier-buyer interactions in B2B sales will occur through digital channels, meaning sales organizations need to actively seek new ways to engage with customers. Experience/ AR, in VR particular, will become an integral part of the metaverse development process, when B2B purchases and sales become almost exclusively digital. In the next five years, AR/VR could be a critical sales channel that will be widely used in meetings, product demos and sales training.

• "'Digital People

Digital people are interactive, AI-driven models that have some characteristics, personality, knowledge and human thinking. By 2026, half of B2B shoppers will interact with digital people during the buying cycle. Digital people will take on tasks that people don't want to do, such as working with prospects, getting old customers or leads that have come to nothing.

• "'Emotional Artificial Intelligence

Emotion AI technology analyzes, processes and responds to user emotions.

By 2024, the identification of emotions with AI will affect about half of the online ads customers see. AI will be able to recognize facial expressions, emails and determine which ads will affect a particular buyer.

• "'Multimodality

Multimodality means that sellers will have several ways to register actions, which will help sales managers solve data problems. By 2025, 70% of all B2B seller-buyer interactions will be recorded to extract competitive, deal and market information through artificial intelligence, machine learning and other technologies.^[5]

2021

Forrester names top trends for IT executives

At the end of December 2021, Forrester named the main trends in the IT market in 2022.

Role of Chief information officers

Leading tech executives will move from digital transformation to human-centered transformation, reports show. In 2022, companies focused on the future will not only think about digital transformation, but also implement initiatives that closely combine the purchasing experience (CX) and the experience of employees (EX). In addition, 10% of technology leaders will also prioritize investments in strategic partnerships and innovative practices - 3 times more often than competitors.

Forrester notes that IT companies face a 13.8% loss due to the lack of effective models for finding technical talent, which indicates a slow transition to "future" talent strategies. Frustrated traditional companies will resort to higher wages to attract talent, while promising firms will use cloud and platform architectures and low-code solutions to reduce the need for the most advanced technical skills.

Cloud Solutions

The COVID-19 coronavirus pandemic has led to the active use of corporate clouds as companies expand their digital presence and create new products. Companies are committed to cloud efficiency, scalable solutions, and unique customization.

Forrester predicts that the adoption of container solutions will reach 50% by 2022, as cloud technology will take center stage in corporate clouds. More importantly, businesses will refactoring or overpatching their cloud strategies to base them on native cloud rather than superimposing it on their existing solutions. Cloud technology will expand beyond all major technology areas such as big data, artificial intelligence and the Internet of Things.

Forrester notes that Google Cloud Platform (GCP) won't meet its short-term goals, but that doesn't matter. As this decision lags significantly behind AWS and Azure, GCP could have made great strides by acquiring a major SaaS platform.

Developing the Internet of Things

Chip shortages will hamper the overall IoT market growth of 10% to 15%, according to Forrester. The issue of chip shortages won't be resolved until mid-2023, and IoT devices will suffer even more. With many "smart" IoT-based products such as appliances and cars not available to everyone or priced too high, demand for "less smart" equivalents will grow.

Investment in smart infrastructure will grow by 40%, Forrester predicts. Building on large government spending on intelligent infrastructure to facilitate post-pandemic recovery in the US, EU and China, city planners will prioritize initiatives that provide citizens with internet connectivity, address public health challenges and manage critical resources.

Cybersecurity, Risks and Privacy

One in 10 experienced cybersecurity professionals are projected to leave the industry. Before the pandemic, only 21% of security specialists were not going to quit their current job. However, data for 2021 shows 51% of cyber security professionals have experienced extreme stress or burnout in the past year. In addition, 65% say they considered leaving work due to constant stress.

The companies will include cyber insurance policies in contracts to offset third-party costs related to violations, Forrester said. As new suppliers are brought in or contracts with existing third parties extended, organisations will require a special cyber insurance policy in which they will be listed as the beneficiary included in contracts with those partners in their ecosystems who, while a vital part of the supply chain, do not meet their cybersecurity standards or refuse to provide sufficient certification.

Rewards for bias, circular economics

At least five big companies will introduce bias rewards. These rewards will allow users to identify bias in artificial intelligence systems. In 2022, large technology companies, such Google as and, Microsoft will introduce grants for bias, as well as banks medical companies to connect to such a program.

Forrester predicts that Western brands will spend 2022 looking for new partners in China, in addition to Alibaba and JD.com, through companies such as Douyin, Little Red Book and WeChat. This will allow them to establish more direct relations with consumers and sell goods directly.

The circular economy will be a must-have proposal in 2022, according to analysts, and will be an incentive for intensive investment. Forrester data shows that online consumers in the U.S. (41%), (60%) France and (Great Britain 49%) prefer to buy sustainable products. As the second-hand market continues to gain traction, investment in companies that can offer logistical-challenging offerings will increase.^[6]

10 forecasts for Chief information officers from IDC

In early November 2021, the research company IDC announced forecasts for the development of the global IT industry for 2022 and subsequent years. According to analysts, the modern world would certainly not become what people are used to seeing it if information technology did not develop so rapidly.

By 2022, more than half of the global economy is expected to be digital-based or influenced in some form, as most products and services will adopt a digital delivery model or need additional digitalization to remain competitive. Businesses need to prioritise investing in digital tools to expand physical assets, according to the researchers. As a result, by 2024, more than half of all investments in IT solutions will be associated with digital transformation.

Digital technology has become a permanent and dynamic element of our world, and the ICT industry itself will be one of the most transformative in the next few years. Chief information officer should create cohesive procurement, development, and operational teams. These teams need to align with as-a-service technology delivery models and focus on the end result, while IT providers' primary challenge will be to help companies share, leverage, manage and add value to data, said IDC Group Vice President of Global Research Rick Villars.

According to analysts, the 10 most important IT forecasts are as follows:

1. Bringing a Digital Approach to Customers and Operations: By 2024, companies transitioning to digital technology will provide responsive customer experience and sustainable operating models by shifting 70% of all technology and service spending to "as a service" and end-to-end models. This investment will be required to support a variety of customer engagement scenarios and data-driven operations.

2. New Cloud Fundamentals: By 2023, 40% of companies will rebuild their cloud product selection processes by focusing on business results rather than IT requirements. Managing, optimizing, and protecting a variety of cloud and data arrays will be the most important operational tasks for IT companies.

3. Management is emerging as a top challenge for IT teams: By 2023, 80% of companies will use cloud-enabled artificial intelligence services (AI) to manage, optimize, and protect dispersed resources and data. Unfortunately, 70% of companies will not be able to achieve full returns due to the discrepancy between the skills of IT specialists and a small number of highly qualified personnel in the IT sector, as well as due to the active poaching of successful employees from the average to a larger business.

4. Everything as a service is becoming ubiquitous: By 2022, 40% of the IT budgets of large companies will be redistributed by implementing integrated service packages based on this principle in areas such as security, cloud platforms, virtual workspace and communications.

5. System technology transitions are coming: By 2026, company executives facing system or mandatory transitions will triple the cost of IT to develop new environments, but will struggle to achieve the required 6-fold increase in operational technology efficiency. IT organizations working with customers from various industries are already advised to think about how several system changes (such as those related to 5G networks, electric vehicles or blockchain) will affect technology plans and business priorities.

6. Automate and supplement: By 2024, 70% of companies will receive twice as much significant return on investments in technologies that expand the activities of employees and customers, compared with investments in the automation of individual processes. The greatest gains will come from comprehensive efforts aimed at expanding the experience and decision-making activities for clients, patients, students and ordinary workers.

7. Data management creates both challenges and opportunities: By 2025, regional differences in privacy, security, hosting, use and disclosure requirements will force 80% of businesses to rebuild their data management processes that operate autonomously. Successful companies will leverage digital sovereignty for new investments in resource and data management strategies and IT automation projects.

8. Rethinking the Digital Experience: By 2023, 50% of multinational companies will direct half of their spending to new technology equipment and communications, as well as modernizing and rethinking customer and employee experience. A company that optimizes digital technology in terms of work, health and entertainment will have a long-term advantage in attracting and maintaining customer loyalty and opportunities to increase their number.

9. Sustainability is becoming a reality: By 2025, 60% of countries will have teams on digital sustainability, the tasks of which will include the assessment, certification and coordination of the use of data and analytical platforms on sustainable business development and IT. Until 2024, new tools, data, as well as analysis will make it easier to set significant sustainable development goals, but achieving these business and regulatory goals will still remain a challenge for most companies.

10. Data controls will be scrutinized: By 2025, valuations of public companies will be based on confidence to control the proper and efficient use of data to the same extent as financial controls, resulting in increased spending on data-centric solutions. IT leaders should prioritize the choice of technology and service partners based on their ability to solve the most important tasks for business, according to IDC.^[7]

Generative AI, data fabric, distributed enterprises, and other IT trends from Gartner

In mid-2021, research company Gartner named 12 strategic IT trends for 2022. They, according to Gartner Vice President of Research David Groombridge, will accelerate the development of the business, stimulate change and strengthen customer confidence.

Generative artificial intelligence

A new model of AI is entering the market - generative artificial intelligence, which is the use of machine learning methods focused on the study of content or objects and the use of the obtained data to create new, completely original, realistic artifacts. Generative AI can be used in a variety of ways, including to create program code, identify new products, promote drug development, and target marketing.

Data Fabric

The Data Fabric information management architecture is used to maximize access to enterprise data. Data Fabric ensures flexible, sustainable data integration between platforms and business users, a solution that has emerged to simplify the infrastructure of data integration in the organization and create a scalable architecture.

Geographically distributed enterprises

With the proliferation of remote and hybrid work models, traditional office-oriented organizations are becoming distributed enterprises consisting of geographically scattered employees. Gartner predicts that by 2023, 75% of organizations using this work model will receive revenue growth 25% faster than competitors.

Cloud platforms

Gartner predicts that cloud platforms will serve as the basis for more than 95% of new digital initiatives by 2025 - up from less than 40% in 2021.

Autonomous systems

Autonomous systems that can dynamically change their own algorithms without updating external software will become commonplace in robots, drones, manufacturing machines and smart spaces, Groombridge said.

Decision intelligence

Decision intelligence - This discipline combines the best of data science, social science and management science for effective decision-making. Gartner predicts that in the next two years, one-third of large organizations will use specialized AI development to make decisions in order to increase competitive advantage.

Composite Applications

According to Gartner, the demand for business adaptability will grow and this requires a technological architecture that supports rapid, secure and efficient application change. The architecture of composite applications expands the capabilities of this adaptability, and those who use composite applications will be able to outperform competitors by 80% in terms of the speed of implementation of new features.

Hyper automation

Systems that enable hyperautomatization enable accelerated business growth and sustainability by quickly identifying, validating, and automating a huge number of processes.

Privacy-enhancing computing

Gartner expects 60% of large organizations to use one or more privacy-enhancing computing methods by 2025. These solutions protect personal and sensitive information at the data, software, or hardware level.

Cybersecurity Mesh Network

The point of Cybersecurity Mesh is to ensure that a person has safe access to any digital resource, regardless of the location of both the resource and the person. This solution forms the perimeter of protection around an individual person, and not around the entire organization. Gartner claims that by 2024, companies that use such tools will be able to reduce the financial impact of possible cyber incidents by an average of 90%.

AI engineering

Gartner notes that AI development teams will be able to create truly effective tools for their organizations if they can constantly add value through rapid AI changes. Developers will focus on composite applications focused on modular components - this will increase the efficiency of development teams, Groombridge said.

Shared experience

In a shared experience approach, all discipline managers should be equally responsible for meeting the combined needs of employees and customers. Gartner analysts argue that "traditional management approaches will not scale." The goal of this approach is to increase trust, satisfaction, loyalty and support for customers and employees.^[8]

2020: IDC names top IT trends for coming years after COVID-19

In mid-November 2020, IDC presented a forecast for the IT industry for 2021. The report focuses on how the IT departments of companies overcome the problems associated with the COVID-19 coronavirus pandemic, and how they seek to gain a competitive advantage in the new environment.

1. Accelerate Your Cloud Transition

Chief information officer must advance the transition to cloud-based IT models to remain competitive. The IDC report indicates that "by the end of 2021, 80% of enterprises will switch to cloud infrastructure and applications twice as quickly as in the pre-pandemic environment."

2. Peripheral Computing Takes Precedence

According to the IDC report, 80% of investments will focus on peripheral computing, and business models will take into account changes in office and home work related to the pandemic. This will also increase the number of cloud solutions that will allow organizations to respond faster and more efficiently to changing needs.

3. Intelligent Digital Workspace

By 2023, 75% of companies on the Global 2000 list will focus on an intelligent workspace that allows employees to work more effectively on both their own and collaborative projects, according to IDC.

4. IT legacy of the pandemic

According to IDC analysis, technical debt arising from forced migration to cloud spaces will make itself felt until 2023. Chief information officer will continue to look for opportunities to build sustainable digital infrastructures.

5. Fault Tolerance - Central Element

Organizations should look for new approaches to maintaining a competitive advantage in non-metabolic growth. IDC predicts that "in 2022, businesses focused on digital resiliency will adapt to disruption 50% faster than businesses focused on restoring existing levels of business/IT resilience."

6. Transition to standalone IT operations

By 2023, all IT and automation initiatives will use the cloud ecosystem as a core framework that expands real-time resource management and analytics capabilities. To do this, organizations must integrate analytics based on AI and machine learning, implement automation and autonomous infrastructure.

7. Opportunistic expansion of AI capabilities

According to IDC, "by 2023, 25% of Global 2000 companies will acquire at least one AI development startup." At the same time, organizations that develop their own AI-based solutions and data services will switch to subscription models.

8. Re-evaluation of relationships and services

The IT environment is undergoing incredible changes, so according to IDC, 80% of organizations will reassess their products, services and supplier relationships to implement optimal digital strategies.

9. Ecostability

IT departments became responsible for implementing eco-sustainable business practices. According to IDC, "by 2025, 90% of Global 2000 companies will require reuse of materials in IT equipment supply chains, as well as zero carbon footprint and reduced energy consumption."

10. People are still paramount

Business automation and the creation of a productive workforce cannot be successful without the necessary investment in the development of IT teams or DevOps groups. Organizations will actively seek talent using crowdsourcing and employee development/retraining.^[9]

2019

Forrester unveils 2020 technology market outlook

At the end of October 2019, the research company Forrester presented a forecast for the development of the technology market in 2020.

Integrated, adaptive approach to IT

Technological innovation increases the importance of IT for business, but companies will have to undergo a reorganization to use new opportunities wisely. It is assumed that in the future firms will be guided by an adaptive approach to IT, which will make it easy to integrate new technologies and transform them under the influence of changing priorities.

Companies will double spending on data strategies

Although interest in big data has waned over the past couple of years, its impact on the development of AI technologies and machine learning is invaluable. Analysts suggest, however, that companies will have to double data costs by 2020 to stay afloat. Obtaining huge amounts of data without systematic errors requires serious organization and investment, and in addition, enterprises restrict the exchange of data due to privacy problems. Analysts have every reason to believe that in 2020 the cost of preparing data for AI may ultimately even stop paying off the effort spent.

The rise of ransomware hackers

In 2020, the number of ransomware will increase, as attackers will soon understand what kind of valuable product information is. The introduction of new integrating technologies with insufficient protection makes companies easy prey for hackers, and the larger the information field, the greater the damage. In addition, the reality is that it is easier for attackers to find a security breach using new AI and machine learning technologies. Temporary data blocking is a quick path to monetization, and attackers will increasingly demand a ransom to take back control of information. Analysts predict that AI technologies alone, used to create fake audio and video, will cost enterprises more than $250,000.

Automation will change the structure of the labor market

Analysts believe that automation will change the structure of the labor market and raise global economic problems of income distribution and wage stagnation. In 2020, automation will replace more than a million jobs with robots. However, the number of jobs requiring intuition, empathy, as well as physical agility and a flexible mind will grow by 331,500 units. It turns out that call centers alone will reduce staff by 40% due to automation, but the remaining workers will become more qualified and higher paid. Unfortunately, not all companies are trying to prepare employees for new work in the future, and this attitude can turn into a disaster.

Regulators will actively influence the development of the market

Analysts suggest that in 2020, regulators who oversee the sharing of sensitive data will begin to actively influence existing markets and form new ones. It is already noted that many companies do not comply with the basic requirements of the GDPR law: ensuring customer consent, transparency and control of data leakage. Suppliers will be forced to use anonymized or aggregated data, which will change the type of targeted advertising, and businesses will have to forensic their supply chains and ecosystems. Regulators will also take action against firms using fraudulent schemes to collect and use sensitive data.^[10]

Hyperautomatization, VR, AR, MR, machine learning and other technotrends from Gartner

In late October 2019, Gartner unveiled major strategic trends from the IT space that companies around the world should look out for in 2020.

Hyper automation

Hyperautomatization is a comprehensive application of machine learning, ready-made software and automation tools to perform any work. Hyperautomatization implies not only a wide range of tools, but also the complication of all stages of automation itself. Accurate evaluation and coordination of automated mechanisms is the main focus of hyperautomatization.

Multimodal perception

By 2028, users will begin to perceive the digital world and interact with it. Already, interactive platforms, virtual, augmented and mixed reality are changing the way people perceive the digital world. Such a combined shift allows you to imagine what the multisensory and multimodal experience of user interaction with the digital world will look like in the future.

Democratization of knowledge

Democratization should provide users with access to technical knowledge (e.g., machine learning, application development) or business knowledge (e.g., sales process, economic analysis) through radically simplified experiences that do not require deep and expensive training. Thanks to this, people who are not IT specialists will be able to use specialized tools and systems in their work. Four key aspects of democratization are expected to come forward by 2023, including democratization of data and analytics, democratization of application development, democratization of design, and democratization of knowledge.

Human improvement

Transhumanism explores how technology can be used to improve a person's cognitive and physical properties. Physical improvement can be accomplished by implanting technology or using wearable devices. Cognitive improvement - through constant access to information and a multimodal interface in intelligent spaces.

Transparency and traceability

Data transparency and traceability are critical elements in an ethically verified system that protects the privacy of its participants. As organizations develop different methods of ensuring transparency and trust, they should focus on three areas: (1) AI and machine learning; (2) ensuring confidentiality and control over personal data; (3) ethically verified design.

Periphery reinforcement

With peripheral computing, information is collected and processed as close as possible to the sources, stores, and consumers of this information. In this way, the delay in the transmission of information is reduced, the capabilities of peripheral devices are used and greater autonomy of users is ensured. It is believed that peripheral computing will soon become the dominant factor in almost all industries. Sophisticated peripherals, including robots, drones, autonomous vehicles and operating systems, will accelerate this transition.

Distributed Cloud

A distributed cloud is the allocation of public cloud services to different locations, while a public cloud provider takes responsibility for operating, managing, updating, and developing these services. The use of a distributed cloud marks a departure from the centralized model of public cloud services and speaks of the onset of a new era in cloud computing.

Autonomous things

Autonomous things are physical devices that use AI to automate functions previously performed by humans. The most recognizable forms of autonomous things are robots, drones, autonomous vehicles and equipment. As autonomous things spread, a shift from autonomous intelligent things to whole complexes should also be expected when multiple devices will work together, regardless of people or with their participation. For example, robots can work in a coordinated assembly process.

Practical blockchain

Blockchain is able to transform all relationships in any industry, providing trust, transparency and secure data exchange in business ecosystems. In potential, it is able to reduce costs, shorten the timing of transactions and optimize cash flows. It can be used to track deliveries, manage identification and create smart contracts. However, so far, blockchain cannot be used at the coroperation level due to a number of technical problems, including poor scalability and compatibility. However, analysts advise organizations to assess the benefits of blockchain, even if they do not expect aggressive adoption of this technology in the near future.

AI safety

AI and machine learning are widely used to streamline human decision-making, paving the way for hyperautomatization and the use of autonomous things. However, these transformations pose new security challenges, increasing the number of potential cyber attack points. Cybersecurity and risk specialists should focus on three key areas - protecting AI-based systems, using AI to strengthen protection, and potentially using AI by attackers.^[11]

A.T. Kearney: Companies need to get used to the 'digital mess' era

Companies will have to get used to the era of "digital disorder," which is characterized by an increasingly complex combination of rules for managing the digital economy amid growing geopolitical competition. This is stated in a study released by analysts A.T. Kearney in late June 2019.

According to experts, by 2030 a new digital era will come, the content of which will be determined by the trajectory of the development of the global regulatory environment for technologies, as well as the degree of openness of the Internet.

To help firms prepare for a future era, A.T. Kearney introduced a strategic digital transformation scheme and warned that companies could not afford to passively watch the digital revolution. They must actively adapt to the current mess, as well as prepare for the future digital "order" through digital transformation.

Much of the focus is on the "technology hit" related to key issues such as consumer privacy, data protection and anticompetitive practices. According to experts, Mmogie governments are striving to choose such policies in order to minimize the shortcomings of the system, and these actions will directly affect the ability of companies to effectively use digital technologies in the coming years.

This cycle of innovation, adoption and regulation aligns with previous waves of technological change. The A.T. Kearney study proposes four scenarios for the emergence of digital order, based on two main variables - regulatory activities and the development of the digital environment. Among the options presented are the "cold digital war" and "split Internet. Experts believe that all options for the development of future technologies are possible, and in certain markets they are already being implemented by the end of June 2019.^[12]

Standalone devices, augmented analytics, AI-based application development, and other trends from Gartner

In April 2019, analytics firm Gartner named 10 technology trends for 2019. 

1. Standalone devices

Autonomous devices use artificial intelligence to solve tasks traditionally performed by people. There are five directions for the development of autonomous devices: robotics, vehicles, drones, household appliances and applications. According to experts, the development of AI systems will increasingly be determined by the interaction of autonomous devices.

2. Augmented Analytics

Augmented analytics allows you to test more hypotheses and thereby opens up more opportunities for data processing and analysis. Automated summaries of augmented analytics will be embedded in enterprise applications to optimize decisions and actions of all employees.

3. AI-based application development

With the new platforms, professional application developers will be able to embed AI-based models and functions into their work without seeking help from a data analyst. At the same time, some of the developer's tasks are solved automatically, and the development tools themselves evolve from solving simple problems to automating more complex activities due to built-in knowledge in a specific subject area.

4. Digital twins

A digital twin is a digital reflection of a real object, process, or system. Individual digital twins can interact with each other to form more complex and larger systems. They are mainly used on the Internet of Things: they provide monitoring of technical condition, indicate possible ways to improve efficiency and are used to develop new technologies and services. It is assumed that the next step will be digital counterparts of entire companies.

5. Edge Computing Enhancement

In peripheral computing, information is processed on devices directly using this data in order to localize traffic and reduce delays. Analysts believe that the peripherals will become increasingly intelligent thanks to built-in sensors, storage and computing components based on AI.

6. Immersive Technologies

Augmented, mixed and virtual reality change the way the user perceives the world and form a new immersive experience. Gartner is confident that the multimodal interface will connect people to the digital world through hundreds of peripheral devices, affecting all senses and advanced machine "perception organs." 

7. Blockchain

Blockchain has the potential to reduce costs, shorten transaction settlement times and improve cash flow. Blockchain has also opened the way for a host of solutions that take advantage of its individual elements and advantages, although they are not yet implementing a decentralized network model. 

8. Smart spaces

A "smart" space is a physical or digital environment in which people and information systems interact. Smart spaces are developing in five key areas: openness, connectivity, coordination, intelligence and scale. The most developed example is smart cities.

9. Digital Ethics and Privacy

Governments are tightening laws around digital ethics and privacy, and consumers are carefully monitoring the use of personal information. Businesses that don't pay attention to this aspect risk losing customers.

10. Quantum computing

Quantum computers are able to completely change personalized medicine, optimization of machine learning and AI, materials research and other fields. By April 2019, however, the technology is in its infancy.

Link to Gartner material.

Top 10 trends in data management and analysis

On February 19, 2019, Gartner presented 10 trends in the field of data management and analysis for 2019 and subsequent years. Read more here.

2018

IDC made key forecasts for Chief information officers for 2019 and beyond

On October 31, 2018, the analytical company IDC released a list of trends that experts believe Chief information officers will face in 2019 and beyond. Such managers must be flexible, interoperable, and results-oriented.

IDC expects a big change in the role of CIOs as their companies develop their own needs and strategies. They seek to rebuild themselves in connection with the exponential pace of digital transformation, the report says. The main forecasts for Chief information officers are as follows:

1. By 2021, 70% of Chief information officers, due to their kind of activities, will use Agile interaction through APIs and architectures that connect digital solutions from cloud vendors, system developers, startups, etc.

2. According to the researchers, by 2021, 70% of Chief information officers will actively use data and artificial intelligence in IT operations, tools and processes. This will be pushed by the need to reduce costs, improve corporate IT flexibility and accelerate innovation.

3. By 2022, 65% of companies will entrust their Chief information officers with transforming and modernizing enterprise management policies to take advantage of new opportunities and confront new risks posed by artificial intelligence, machine learning, privacy and data ethics.

4. 75% of successful digital strategies by 2022 will be built by transformed IT organizations with upgraded and streamlined infrastructure, applications, and data architectures.

5. By 2020, attracting 80% of Chief information officers to executive management will pay off by achieving key indicators that determine the effectiveness of using information technology to improve business productivity and growth.

6. By 2020, about 60% of Chief information officers will begin building systems of trust in digital technologies that go beyond preventing cyber attacks and allow companies to recover sustainably from adverse situations, events and effects.

7. By 2022, 75% of Chief information officers who do not shift their organizational responsibilities to authorized IT product development teams to promote digital innovation, new technology development, and business scaling will not be up to the job.

8. IDC predicts that by 2022, the pool of emerging technology professionals will be at least 30% below global demand, and effective skill development and retention of professionals will be differentiating strategies for companies.

9. By 2021, approximately 65% of Chief information officers will extend Agile and DevOps practices to a broader business in order to achieve the speed needed to develop innovation, achieve goals and implement change.

10. Another analytical forecast assumes that by 2023, about 70% of IT managers who will not be able to manage the organization of the company's IT structure, strategy and operations divided between peripheral computing, operational and information technology will not withstand the professional race.

The study also notes that in 2014, Chief information officers were "simple IT guys" who worked far in the background. Now such executives are valued for their ability to bring a visionary strategic perspective and skills to the company that will be in demand in the future.^[13]

Technological trends affecting companies' IT strategies: Sberbank's vision

Mikhail Khasin, Senior Managing Director of Sberbank, speaking at the TAdviser SummIT conference on May 30, 2018, shared his vision of technological trends affecting companies' IT strategies.

First of all, he pointed to tectonic changes in human interaction with the world: the phone has now become a single channel of interaction, which is carried out within the framework of large ecosystems.

Any large ecosystem has no geographical boundaries, Hasin noted, millions of customers in any watch areas interact in it. These ecosystems operate with petabytes of data, hundreds and thousands of transactions per second. The systems are based on technological platforms that have similar requirements, namely: client centrism, an open API mechanism, machine learning and automated customer service, data processing in RAM and a number of others.

Characterizing the ecosystems of the new generation, the representative of Sberbank identified four layers in them. The first layer is a universal single front office, the same for all digital channels in terms of customer experience, that is, it allows the client to start making purchases in one channel, continue in another and finish in the third. The second layer is the level of business logic, where the customer is offered a service. The third is the one where the products and services of the players participating in this ecosystem are located. And the fourth layer is the big data layer, where the storage and all analytics are located, on the basis of which machine learning mechanisms work.

To build such a new generation ecosystem, new development and implementation processes are needed, and in this context, the transition to the DevOps development environment and Agile flexible methods are relevant, which allows testing and installation of new releases in automatic mode, said Mikhail Khasin.

As for artificial intelligence technology, in recent years there has been a large amount of investment in machine learning, automatic decision-making. For solutions in this area, Mikhail Khasin noted, open source technologies are widely used, and this path, according to him, is the fastest way to develop new technologies.

Other general trends in the development of information technologies highlighted by the representative of Sberbank are efficiency improvement, TCO reduction, dynamic infrastructure, robotization, the emergence of engineers who know and analytics, and testing, and business processes. As for the key goal of the financial component of any IT strategy, this is a decrease in the cost of operations with an increase in the transaction load, Mikhail Khasin emphasized.

In conclusion, Hasin predicted further automation, consistent removal of a person from business processes, which, in particular, confirms Gartner's forecast: in the United States, about 80% of professions paid less than $20 per hour will be occupied by robots over the next 7 years.

Quantum computing, AI, cryptography, blockchain and microrobots are trends from IBM

On March 19, 2018, IBM listed five technologies that are fundamentally changing society and companies. We are talking about quantum computing, microscopic robots, objective artificial intelligence (AI), cryptography and blockchain.

It is in these directions, according to IBM, that a powerful technological breakthrough will be made, and they will penetrate into all areas of people's lives. Such technologies can revolutionize the computer industry and bring computing to a level that no one has ever seen, the study says.

IBM analysts believe quantum computing will become mainstream in the tech IBM by 2023. They will be widely used by new categories of specialists and developers to fix problems that were previously considered insoluble. Quantum technology will be actively studied in universities and even in secondary schools.

By 2018, artificial intelligence has become a popular topic in the IT market, but explosive demand for it is still ahead. Within five years, there will be new "unbiased" solutions that can be trusted. IBM is working in this direction: experts are engaged in eliminating data from AI learning algorithms that are not free from racial, gender and ideological biases. The company wants to create an "objective" artificial intelligence that will not contribute to the spread of inequality and will make a qualitative breakthrough in the field of learning AI systems. In addition, IBM has developed a way to test AI solutions when training data is not available.

The corporation sees importance in miniature robots, which can be combined into one cloud network and deployed around the world to, for example, monitor water quality. IBM has come up with tiny electronic AI systems that can collect information about the movement of plankton, which will help make forecasts based on its behavior and cope with ocean pollution (for example, from oil spills and coastal sources), as well as predict a dangerous phenomenon such as red tide (harmful algal blooms).

Two more technologies that IBM experts say are fundamentally changing society and companies are related to cryptography and blockchain. In the first case, the company means tiny cryptographic "anchors" - a kind of label that various products will be supplied with. With their help, consumers will be able to trace the entire path of the product - from its production to the moment of sale - using blockchain. Such technology is supposed to change areas of business that are closely linked to food safety, counterfeit identification and the luxury market.

The second technology in this area is lattice cryptography, which is a new approach to building encryption algorithms. Such a technology has a high degree of protection, so it has great potential for use in systems that store valuable data. IBM itself has developed a post-quantum cryptography method that provides protection against attacks in which hackers use quantum computers. Thanks to cryptography on lattices, you can work with files or encrypt them without fear that important data will fall into the hands of cybercriminals, the company says.

Society's ability to overcome intractable challenges and unprecedented threats depends on sustainable advances in technologies such as artificial intelligence, blockchain, lattice ​​kriptografiya and quantum computing - all of which IBM Research has invested heavily in, the company said.[14]

2017: Dark data, AI, mixed reality, everything-as-a-service, blockchain - Deloitte

In February 2017, the consulting company Deloitte published its eighth annual report on the state of technology in 2017. It was called "Technological Trends 2017: A Mobile Enterprise," but, according to the company's CTO Bill Brigs, who he voiced in an interview with InformationWeek, in the context of the growing process of business transition to the digital economy, the report could be called in another way: "Feverish Enterprise."

In it, in particular, Deliotte highlighted seven of the most promising breakthrough technologies:

• "Dark" analytics
• Machine intelligence
• Mixed reality
• Flexible architectures
• Everything as a service (XaaS, EaaS, Everything As A Service)
• Blockchain
• Nanotechnology, biotechnology, quantum computing.

Next up is another group of technologies that in the long run will change our understanding of IT - nanotechnology, biotechnology, complex energy systems and quantum technologies.

"They are only looming on the horizon, but very soon they will begin to change the business models of entire industries," Brigs said.

The arrival of these breakthrough technologies will take three to five years, but when this happens, the speed at which they will affect markets will grow exponentially. It should be borne in mind that quantum computers or nanotechnology can outstrip blockchain in terms of the speed of implementation. By the way, in a 3-year-old report, Deloitte mentioned technologies such as AI, robotics and cybersecurity as promising. As you can see, after these years they really became popular.

What gives reason to believe that nanomaterials, synthetic biology, new ways to store energy and quantum computing will get a boost? Investments. The fact is that each of these technologies attracts a significant flow of funds from investors and in just three to five years there will be a period of payback. So far, Intel has been supplying chips based on the 14nm process technology, but the industry continues to move towards the 1nm process technology. This means that computing and networking systems will continue to shrink in size and increase power.

Using renewable sources of energy extraction, some large companies are starting to benefit now. For example, Tesla will use the lithium-ion Powerpack battery systems to store electricity generated by solar panels at its large Kauai Island Utility Cooperative (KIUC) facility, which is being built in Hawaii. They will allow you to supply electricity throughout the day - even when the sun has set.

As for synthetic biology, one of the priorities of this science is the creation of genomodified algae. It is assumed that the introduction of piece genes into these plants will allow the production of a new species capable of producing alcohol for cars. This is especially true in a constantly polluting environment and global warming.

Deloitte assigns significant space to quantum technologies. Their improvement will make it possible to establish the production of destruction-resistant materials of a new type, while the wave functions of the quantum state will become the basis for creating a new type of computer computing. It is possible that even the simplest quantum computer will be much more powerful than the most modern supercomputer today.

"Multiple increases in computing power that until recently seemed unimaginable could have far-reaching consequences," Brigs said.

2016: AI, AR, Platforms - Accenture

In early February 2016, Accenture released the results of an annual study of the technology industry. Within the framework of it, five main trends were highlighted, following which business needs to achieve success in the digital world.

"Smart" automation

Accenture experts came to the conclusion that leading companies are actively using robots and technologies of artificial intelligence (AI) and augmented reality with the aim of radical changes in business and building new more productive relationships between people and machines. According to 70% of the survey participants (there were 3,100 in 11 countries), in 2014-2015 they increased investment in AI solutions. 55% of respondents talked about plans to actively implement machine learning technologies and built-in AI solutions.

Companies are striving for automation: for example, in Singapore, one of the restaurants began to use drones to deliver ordered food, and Siemens automated one of the factories to such an extent that it can operate without human supervision for several weeks, the study notes.

Flexible manpower

The study participants recognized the advantages of rapidly adapting labor resources that are ready to meet the requirements of companies in the digital economy. Among the main characteristics of the personnel, the study participants highlighted a deep examination of special tasks, fast learning ability and the ability to accelerate quickly.

One such example is General Electric, which has introduced a new management system, FastWorks, which has reconnected employees with customers and made them much closer.

Platform economy

81% of respondents predict that by the end of 2018, platform business models based on new ecosystems and based on technology platforms will become part of the main growth strategy for companies.

According to Accenture, by the end of 2015, the total market capitalization of the largest so-called platform companies (Apple, Google, Amazon, etc.) reached $2.6 trillion, and they continue to invest in the development of ecosystems.

Predictable technological breakthrough

Accenture notes that the rapid development of digital ecosystems is leading to a new wave of technological breakthroughs. Those companies that can predict the directions of ecosystem change have an advantage over competitors.

For example, car data used by insurance companies to reduce the cost of paying insurance for neat drivers has learned to use Google for its own purposes - in the development of unmanned vehicles.

Building Trust in the Digital World

According to 83% of respondents, trust is the basis for the entire digital world. To win it, analysts recommend that companies focus on ethics and security issues.

This is exactly what Apple is doing, which, after a series of incidents with the leakage of iCloud user data in 2014, began to regain user trust, becoming more transparent in using its customers' data.^[15]

2013

10 trends from IDC for Chief information officers to 2018

In December 2013, the company IDC issued^[16] with a number of futuristic forecasts regarding the development of the IT industry for the next five years. IDC analysts continued to actively promote their idea ("third platform" a combination of mobile, cloudy and social technologies, coupled with, big data) which, in their opinion, will radically change the landscape information technology in the near future.

The 10 main IDC predictions through 2018 are as follows:

• In the next two years, more than 70% of Chief information officers will change their role in organizations: they will move away from direct management of information technology and turn, rather, into innovative partners.

• By 2017, however, only 40% of Chief information officers will move away from participating in operational planning in favor of strategic planning.

• 70% of Chief information officers will be able to increase the readiness of enterprises for risk projects.

• Mobile technologies for business will use 60% of Chief information officers by 2017 to build flexible infrastructure.

• The demographic shift will make key IT users younger, forcing 80% of Chief information officers to develop end-user-oriented solutions as well as integrate business systems with social networks by 2015.

• By 2015, the development of the "third platform" will force 60% of Chief information officers to use enterprise architecture (EA) more actively.

• By 2015, the budgets of 60% of information security Chief information officers will be 30-40% less than necessary for effective threat protection.

• By 2017, 60% of Chief information officers will need to reduce infrastructure and operations costs.

• By 2016, 80% of IT budgets will be aimed at integrating services.

• By 2018, the adaptation of the "third platform" will change 90% of IT roles.

10 Enterprise IT Trends for 2013 from Gartner

Gartner named^[17] top technology trends for 2013. These are such strategic technologies that will have an impact on the market in the longer term - in the next three years.

Gartner experts warn that the list of 10 strategic technologies does not necessarily need to suit each specific company in full, but strongly recommend "trying it on yourself" for all enterprises without exception. It is also interesting that all these technologies were born on the basis of the hottest IT trends of our time - social data, mobility, cloud solutions and large amounts of information.

Such technologies may include those that have long been on the market, but at some point have reached the stage of "maturity," when they become available to a wide range of users, thereby having a significant impact on the economy. Also strategic may be new technologies that can create serious competitive advantages for their first users, creating the prerequisites for their deeper penetration in the next five years.

Ubiquitous mobile penetration

Already 2013 year, according to Gartner forecasts, mobile phones will surpass PCs in terms of Internet access frequency, and by 2015 year the 80% of phones sold in mature markets will be in the category of smartphones. Only 20% of these devices will run on the Windows operating system. At the same time, by 2015, the supply of media tablets will amount to about 50% of the supply of laptops, and Windows 8 will be in third place in terms of popularity in Android and iOS posts. At the same time, consumerization will lead to the fact that enterprises will not be able to dictate to their employees the choice of mobile device platforms, so that they will have to support a wide range of platforms and forms of factors, preventing the ability to standardize equipment. At the change of the era of a PC with a dominant Windows, a post-PC era will come, where Windows will be only one of many popular systems.

Mobile Apps and HTML5

More than 100 potential vendors of tools for creating user applications will appear on the market. Now Gartner divides mobile development tools into several categories, and in the near future one cannot be distinguished as the most optimal. However, there will be a significant jump from "home" applications to web applications, largely due to the growing popularity of HTML5. The developer will also have to seriously work to ensure that applications with a touch interface function correctly on most platforms.

Private clouds

Private cloud systems will largely replace PCs as a place where private users store most of their data, while being a point of access to services and personal settings. Private clouds will become like "glue," uniting different types of devices used by a modern person in everyday life. At the same time, no platform, vendor or technology will be able to occupy a dominant position in the cloud world.

Enterprise App Stores

Businesses will have to set up their own app stores in the future, as some vendors will restrict the use of their apps on a number of platforms, which will force enterprise users to interact with multiple app stores, involving many parallel payment transactions and license agreements. So by 2014, many companies will acquire their own "App Store," which will supply employees of these companies with the necessary software privately.

Internet of Things

The Internet of Things IoT is a concept that describes how the Internet expands its influence on physical devices and provides them communication with a global network. The key physical elements Internet of "things" are directly mobile devices, sensors, image recognition technologies and NFC. In addition, mobile technologies are built not only into smartphones and tablets, but also, for example, pharmaceutical containers or cars. Smartphones and other intelligent devices, according to this concept, can communicate via NFC,, with Bluetooth Wi-Fi a wide range of devices and peripheral devices, such as displays, medical sensors, building life support systems and many others. A huge number of new services will be created on the basis of this ecosystem.

Hybrid and Cloud

As companies face the challenge of doing more with less, IT departments will play a primary role in coordinating emerging IT activities, with cloud solutions taking this process to the next level. This means that IT departments will become kind of "brokers" of cloud services, controlling their distribution to internal users and efficient use.

Big data

Big Data (Big Data) is becoming one of the key strategic factors affecting the information architecture of the business. Working with so much data is changing many traditional approaches. In particular, many organizations will abandon the use of unified corporate data warehouses in favor of a multi-system model. Such systems will include content management systems, data stores, data storefronts, specialized file systems related to date services and meta data, which in total will become a single "logical" storage of information.

Analytics in Action

Analytics are increasingly delivered to users at the time of action and in a specific context. IT managers are thus able to perform analyses and simulations for each activity. Mobile clients allow you to use online analytics anytime, anywhere. All this together makes the decision-making process more flexible and efficient.

Calculations in RAM

In memory computing also has the potential to transform the business. Such technologies allow you to perform some complex processes in minutes or even seconds, which leads to the creation of new information services that work in real time and can be delivered to users in the form of cloud services. Numerous vendors will present their solutions in this area in the next two years.

Integrated ecosystems

The IT market as a whole is undergoing a transition to using more integrated systems and ecosystems compared to the heterogeneous approach that was prevalent until recently. This trend is manifested on three levels. The technique combines hardware and software, and software and services are packaged for the appropriate application infrastructure and workload.

2012:10 trends for Chief information officers from IDC to 2018

IDC analysts named 10 main trends that will affect the global IT market and the work of all Chief information officers without exception in 2013. In their opinion, in the coming years, the development of the information technology market will take shape as follows:

• By 2016, the business management of the companies will be directly involved in 80% of new projects in the field of information technology.

• By 2015, 90% of IT investments will be evaluated in terms of compliance with the strategic goals of companies.

• The mutual influence of the positions of "Chief information officer" and "CFO" will lead to a radical transformation of the financial IT model of organizations.

• In 2013, Chief information officer will present third Mash-Up platforms as competitive advantages.

• In 2016, 70% of Chief information officers will put cloud solutions at the head of their own IT strategies.

• By 2013, one-third of all newly created applications will be designed for the mobile form factor.

• Corporate social media will go beyond the pilot stages.

• Analytics and Big Data projects will outperform all other IT projects.

• The lack of IT talent will be a big barrier to innovation.

• By 2018, 50% of top managers will perceive Chief information officers as business innovators.

Examples of CIS

• CRM - Customer Relationship Management Systems
  • SFMS - Sales Management Systems

• DSS - Unified Enterprise Solution
• EAM - Enterprise Asset Management Systems
• EIS - Executive Information Systems
• ERP - Enterprise Resource Planning Systems
• MES - operational (shop) production/repair management systems
• WMS - Warehouse Management Systems
• SCM - Supply Chain Management Systems
• CMMS - computerized maintenance management systems
• HRM - Human Resources Systems
• CTMS Container Terminal Management Systems

See the complete business informatization map > > >

Notes