Artificial intelligence engineering, cloud native platforms, and autonomous systems are just a few of the trends that top Gartner’s list of strategic technology trends organizations need to explore in 2022.
Released On Monday at the Gartner IT Symposium / Xpo Americas, the list covers the tools and technologies that will drive innovation over the coming year. David Groombridge, vice president of research at Gartner, said CEOs and boards are looking to grow through direct digital connections with customers. CIO priorities must reflect the same business imperatives.
CIOs must find the IT strength multipliers to enable growth and innovation, and create a scalable and resilient technical foundation that will scale to free money for digital investments said Groombridge. “These imperatives form this year’s three trending themes: Engineering Confidence, Transforming Change, and Accelerating Growth.
Tasks like software code creation, drug development facilitation and targeted marketing can be augmented using generative AI. Gartner noted that there is also the possibility that generative AI is used for scams, fraud, forgery and political disinformation. Still, by 2025 the research institute expects it to account for 10% of all data produced, up from less than 1% today.
First and foremost was generative AI, which Gartner referred to as machine learning methods that learn content or objects from their data and generate completely new and completely original realistic artifacts from them.
Tasks such as creating software code, facilitating drug development, and targeted marketing can be supplemented with generative AI. Garner pointed out that generative AI can also be used for fraud, fraud, forgery, and political misinformation. The institute assumes that it will make up 10% of all data produced, compared to less than 1% today.
Gartner said cloud-native platforms will continue to play an important role in delivering functionality for the next year as organizations move away from “lift-and-shift” migrations.
Gartner predicts that cloud-native platforms will serve as the foundation for more than 95% of new digital initiatives by 2025, compared to less than 40% in 2021 as they leverage the core capabilities of cloud computing to create scalable and IT-related functions Providing elasticity “as a service”. to developers of technologies that use Internet technologies.
Autonomous Systems were also added to the list, and Groombridge noted that autonomous behavior “is already known from recent implementations in complex security environments, but in the long term it will be common in physical systems such as robots, drones, manufacturing machines” and intelligent spaces “.
Gartner described autonomous systems as” self-managed physical or software systems that learn from their environment “.
In contrast to automated or even autonomous systems, autonomous systems can dynamically modify their own algorithms without an external software update and so quickly adapt to new conditions in the field, just like humans, explains Gartner.
Gartner also predicted that as the number of data silos and applications increases, there will be a need for data structures that enable “flexible and resilient data integration between platforms and business users”.
With millions of people around the world still working from home due to the COVID19 pandemic, Gartner stated that the dispersed enterprise is likely to replace the traditional office-based organizations of recent years.
Gartner expects that by 2023, 75% of companies that benefit from distributed businesses will experience 25% higher revenue growth than their competitors.
“This requires CIOs to make big technical and service changes to enable a smooth work experience, but there’s another side to that coin: the impact on business models,” said Groombridge.
“Every business, from retail to education, needs to reconfigure its delivery model to include distributed services. The world would not have thought two years ago that they would try on clothes in a digital dressing room.”
Decision Intelligence, Composable Applications, Hyper-Automation, Privacy-Enhancing Computing, Cybersecurity Mesh, Artificial Intelligence Engineering and “Total Experience” round off the list of technology trends for the next year.
