O Gartner, Inc., world leader in research and advice for companies, announces what they are the key strategic technology trends that organizations should explore in 2022.
David Groombridge, Vice President of Research at Gartner
“With executive leaders and Boards of Directors seeking to generate growth through direct digital connections with customers, the priorities of Chief Information Officers (CIOs) must reflect the same business imperatives that run through each of the key strategic trends in Gartner technology for 2022”, he says. David Groombridge, Vice President of Research at Gartner.
“CIOs must find solutions that multiply the strength of IT resources to enable growth and innovation, while also creating a scalable and resilient technical foundation whose scalability capabilities will free up money for digital investments. These imperatives form the three themes of this year's trends: engineering confidence, sculpted change, and accelerated growth.”
The main strategic technology trends for 2022 identified by Gartner are:
– Generative Artificial Intelligence – One of the most visible and powerful Artificial Intelligence techniques that hit the market is Generative Artificial Intelligence – with machine learning methods, which learn about content or objects from your data and use them to generate new, completely original and realistic. Generative Artificial Intelligence can be used for a number of activities such as creating software code, facilitating drug development and targeted marketing. However, if misused, this technology can facilitate scams, fraud, political misinformation, forged identities and more. By 2025, Gartner predicts that Generative Artificial Intelligence will account for 10% of all data produced, at the expense of the less than 1% achieved today.
– Data Fabric – The number of data and information blocks has increased in the last decade, while the number of qualified people on the data analysis teams has remained constant or even decreased. You Data Fabrics – a flexible and resilient data integration across platforms and business users – emerged to simplify an organization's data integration infrastructure and create a scalable architecture that reduces the technical debt seen in most data analytics teams due to the growing challenge of integration. The real value of a data mesh is its ability to improve the dynamics of data usage with its built-in analytics, reducing data management efforts by up to 70% and speeding time to value.
– Distributed Company – With the rise of remote and hybrid work patterns, traditional office-centric organizations are evolving into distributed enterprises composed of geographically dispersed workers. “This requires CIOs to make major technical and service changes to deliver frictionless work experiences, but there is another side to that coin: the impact on business models,” says Groombridge. “For every company, from retail to education, the delivery model has to be reconfigured to embrace distributed services. The world didn't think they'd be trying on clothes in a digital dressing room two years ago.” Gartner expects that by 2023, 75% of organizations exploiting distributed enterprise benefits will grow 25% faster than competitors.
– Native Cloud Platforms (CNPs – of Cloud-Native Platform, in English) – To truly deliver digital capabilities everywhere, organizations must move away from the familiar “lift and shift” migration to native Cloud platforms. These platforms use the core capabilities of Cloud computing to deliver scalable and elastic IT-related solutions, “as a service”, boosting mobility for those using Internet technologies, delivering faster time-to-value and cost savings. For that reason, Gartner predicts that Native Cloud Platforms will underpin more than 95% of new digital initiatives by 2025, up from fewer than 40% in 2021.
– Autonomous Systems – As companies grow, traditional programming or simple automation will end up not allowing the scalability these businesses will need in the future. Autonomous systems are self-managing physical or software systems that learn from their environments. Unlike automated systems, autonomous systems can dynamically modify their own algorithms without an external software update, allowing them to quickly adapt to new conditions in the field, just as humans can. “Autonomous behavior has become familiar from recent implementations in complex security environments, but in the long term it will become commonplace in physical systems such as robots, drones, manufacturing machines and smart spaces,” estimates Groombridge.
– Decision Intelligence (DI – of Decision Intelligence, in English) – A company's decision-making ability can be a significant source of competitive advantage. With today's dynamics and volatility, however, the need to make quick decisions is becoming increasingly demanding and difficult. Decision Intelligence is a practical discipline used to improve decision making by explicitly understanding and designing how decisions are made, outcomes assessed, managed and improved by feedback. Gartner predicts that over the next two years, one-third of large organizations will use Decision Intelligence for structured decision-making, to improve competitive advantage.
– Compositional applications – In the ever-changing business context, the demand for business adaptability drives organizations to a technology architecture that supports fast, secure and efficient change. The architecture of composite applications enables this adaptability. Gartner estimates that those taking a composite approach will outperform the competition by 80% in the speed of implementing new features. “In turbulent times, compostable business principles help to master the accelerated change that is essential for business resilience and growth. Without it, modern organizers run the risk of losing their good momentum in the market and customer loyalty”, assesses the analyst.
– Hyper-automation – Hyper-automation enables accelerated growth and business resilience by quickly identifying and automating as many processes as possible. “Gartner research shows that high-performance hyper-automation teams focus on three key priorities: improving the quality of work, accelerating business processes, and increasing decision-making agility,” says Groombridge. Business technologists also pointed to an average of 4.2 automation initiatives over the last year.”
– Privacy improvement calculation (PEC – of Privacy-Enhancing Computation, in English) – In addition to dealing with maturing international privacy and data protection legislation, CIOs must avoid any loss of customer confidence resulting from loss of privacy incidents. Therefore, Gartner expects 60% of large organizations to use one or more computing techniques that improve information security by 2025. PEC techniques – which protect personal and confidential information at the data, software or hardware level – share, group and they analyze data securely without compromising confidentiality or privacy. Current use cases can be taken across many verticals as well as into Public Cloud infrastructures (eg trusted execution environments).
– Cyber security mesh (CSMA - Cybersecurity Mesh Architecture)- “Data is present in many of this year's trends, but it's only useful if companies can trust it,” says Groombridge. “Today, assets and users can be anywhere, which means the traditional security perimeter is gone. This requires a cybersecurity fabric architecture (CSMA).” CSMA helps provide an integrated security framework to protect all assets, regardless of location. By 2024, organizations that adopt cybersecurity fabrics to integrate security tools to work as a cooperative ecosystem will reduce the financial impact of individual security incidents by an average of 90%.
– Artificial Intelligence Engineering – IT leaders struggle to integrate Artificial Intelligence within applications, wasting time and money on Artificial Intelligence projects that are never put into production or struggling to retain value from Artificial Intelligence solutions once launched. Artificial Intelligence Engineering is an integrated approach to Artificial Intelligence operating models. “For fusion teams working with Artificial Intelligence, the real differentiator for their organizations will be their ability to continually increase value through rapid Artificial Intelligence changes,” says Groombridge. “By 2025, the 10% of companies that establish best practices in Artificial Intelligence engineering will generate at least three times more value for their investments in Artificial Intelligence than the 90% of companies that don't,” says the Gartner analyst.
– Total Experience (TX) – TX is a business strategy that combines the disciplines of customer experience (CX), employee experience (EX), user experience (UX), and multi-experience (MX). TX's goal is to promote greater customer and employee trust, satisfaction, loyalty and collaboration. Gartner estimates that organizations will increase revenue and profit if they achieve adaptable and resilient TX outcomes.
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