Industry Outlook | 12 Strategic Technology Trends for 2022
12 Strategic Technology Trends for 2022.As the connection between the company and its customers becomes more and more close, the company's development strategy is also adjusted accordingly. Recently, the 2021 Gartner IT Symposium/ Xpo 2021 Americas Summit was held. At the meeting, the well-known research organization Gartner released twelve important strategic technology trends that enterprises need to explore in 2022.
released their findings on key strategic technology trends organizations need to explore in 2022 during the Gartner IT Symposium/ Xpo Summit Americas on October 18 .
Groombridge , research vice president at Gartner, said: "CEOs and boards are seeking to achieve growth through direct digital connections with customers, so CIO priorities must meet these business imperatives that run through Gartner's 2022 Important Strategic Technology Trends.”
“CIOs must find ways to multiply the power of IT to enable growth and innovation and create a scalable, resilient technology foundation through which to unlock cash for digital investments. These requirements make up this year’s Three themes of trends: engineering trust, shaping change and accelerating growth.”
Key strategic technology trends for 2022 include:
Generative Artificial Intelligence: GenerativeArtificial Intelligence
The upcoming generative AI is one of the most compelling and powerful AI technologies. This machine learning method learns content or objects from its data and uses the data to generate new, completely original actual artifacts.
Generative AI can be used for a variety of activities, such as creating software code, facilitating drug discovery, and targeted marketing, but the technology can also be abused for scams, fraud, political disinformation, fake identities, and more. Gartner predicts that by 2025, generative AI will account for 10 percent of all generated data , up from less than 1 percent today.
12 Strategic Technology Trends for 2022.Data weaving: Data Fabric
The number of data and application silos has exploded over the past decade, while the number of skilled talent in data and analytics (D&A) teams has remained the same or even declined. As a flexible, resilient way to integrate data across platforms and business users, data weaving simplifies an organization's data integration infrastructure and creates a scalable architecture that reduces the technical debt of most data and analytics teams due to increased integration difficulties .
The real value of data weaving lies in its ability to dynamically improve the use of data through built-in analytics, reducing data management effort by 70% and accelerating time-to-value.
Distributed Enterprise: DistributedEnterprise
With the rise of remote and hybrid working models, traditional office-centric enterprise organizations are evolving into distributed enterprises of geographically dispersed workers.
"This requires CIOs to deliver a frictionless work experience through major technology and service changes, but there are two sides to it: this technology will have an impact on business models," Groombridge said. "From retail to education, every organization has to reinvent the wheel . The delivery model is configured to support distributed services . Two years ago, no one in the world thought they could try on clothes in a digital fitting room.”
Gartner predicts that by 2023, 75 percent of organizations that take advantage of the distributed enterprise will experience revenue growth 25 percent faster than their competitors.
Cloud native platform: Cloud -NativePlatform , CNP
To truly be able to deliver digital capabilities anywhere, businesses must ditch the familiar "lift and shift" and move to CNP. CNP leverages the core capabilities of cloud computing to provide scalable and elastic IT-related capabilities "as a service" to technology creators using Internet technologies, thereby accelerating time-to-value and reducing costs.
As a result, Gartner predicts that by 2025, cloud-native platforms will underlie more than 95 percent of new digital initiatives, compared with less than 40 percent in 2021.
Autonomous Systems: Autonomic Systems
Traditional programming or simple automation will not scale as a business grows. Autonomous systems are self-managing physical or software systems that can learn from their environment. Unlike automated or even autonomous systems, autonomous systems can dynamically modify their algorithms without the need for external software updates, allowing them to adapt as quickly as humans to new situations in the field.
Groombridge said: “Autonomous behavior has been known for its recent deployment in complex security environments. In the long term, this technology will be widely used in physical systems such as robots, drones, manufacturing machines and smart spaces. "
Decision Intelligence: DecisionIntelligence , DI
The decision-making ability of a business organization is an important source of its competitive advantage, and today's era is increasingly demanding this ability.
Decision intelligence is a practical discipline. The discipline improves decision-making by clearly understanding and carefully designing the way decisions are made and the way results are assessed, managed and improved based on feedback. Gartner predicts that within the next two years, one-third of large organizations will use decision intelligence to enable structured decision-making to improve competitive advantage.
Composable Applications: Composable Applications
In an ever-changing business environment, business adaptability requirements can lead companies to move to technology architectures that support rapid, secure, and efficient application of changes. Composable application architectures enhance this adaptability, and organizations that adopt a composable approach will implement new capabilities 80 percent faster than the competition.
Groombridge said: “In turbulent times, composable business principles help organisations navigate the accelerating change critical to business resilience and growth. Modern organisations without it risk losing momentum and customer loyalty in the marketplace. "
Hyperautomation enables accelerated growth and business resilience by quickly identifying, reviewing and automating as many processes as possible.
Groombridge said: “Gartner research shows that the top-performing hyperautomation teams focus on three key priorities: improving the quality of work, accelerating business processes, and enhancing decision agility. Over the past year, business technologists have supported an average of 4.2 an automation initiative.”
Privacy-Enhancing Computing: Privacy- EnhancingComputation
In addition to dealing with maturing international privacy and data protection laws, CIOs must also avoid a drop in customer trust due to privacy incidents. As a result, Gartner predicts that by 2025, 60 percent of large enterprise organizations will use one or more privacy-enhancing computing technologies.
PEC technologies that protect personal and sensitive information at the data, software or hardware level enable data to be shared, aggregated and analyzed securely without compromising confidentiality or privacy. This technology is currently used in many verticals as well as in public cloud infrastructures (eg Trusted Execution Environments).
12 Strategic Technology Trends for 2022.Cybersecurity Mesh: Cybersecurity Mesh
Groombridge said: “Data ran through many trends this year, but data is only useful when businesses can trust it. Today, assets and users can be anywhere, which means traditional security perimeters are gone. There needs to be a Cyber Security Grid Architecture (CSMA).”
CSMA helps provide an integrated security structure and posture to secure any asset in any location. By 2024, organizations that use CSMA's all-in-one security tools to form a collaborative ecosystem can reduce the financial impact of a single security incident by an average of 90 percent.
Artificial Intelligence Engineering: AI Engineering
IT leaders find ways to integrate AI into applications, wasting time and money on AI projects that never made it to production or struggling to preserve their value after AI solutions are released. AI engineering is a comprehensive approach to operationalizing AI models.
"Whether hybrid teams working on AI can truly differentiate their organizations depends on their ability to continuously add value through rapid AI change," Groombridge said. "By 2025, 10% of building AI-engineered best Firms with a practice will generate at least three times more value from their AI work than the 90% of firms that do not have the practice in place. ”
Full Experience: Total Experience, TX
12 Strategic Technology Trends for 2022.Total Experience is a business strategy that combines the disciplines of Customer Experience (CX), Employee Experience (EX), User Experience (UX) and Multiple Experiences (MX) . TX's goal is to increase customer and employee confidence, satisfaction, loyalty and advocacy. Enterprise organizations will increase revenue and profits by achieving adaptive and resilient TX business outcomes.
12 Strategic Technology Trends for 2022.Key strategic technology trends that companies need to explore in 2022 will focus on engineering trust, shaping change and accelerating growth. In the future, while continuing to achieve economic growth, enterprises should further improve the company's management and operation mechanism, increase IT strength, and echo the continuous innovation of AI technology and cloud technology .
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