It’s the final month of the year, which means that it’s time for technology predictions!
According to Gartner, as CEOs look ahead to 2022, they must focus on three key priorities: growth, digitalization, and efficiency. The firm predicts the coming year will bring numerous trends to support these primary goals, among them:
Generative AI draws on ML methods that learn about content or objects from their data to create new, realistic artifacts. Gartner believes the technology will be used in a variety of ways, including developing software code, identifying new products, and targeted marketing. As the technology becomes more mainstream, Gartner expects generative AI to account for ten percent of all data produced—up from less than one percent today.
The last decade has seen a surge in the number of data and application silos, while the number of skilled data science personnel has either stayed constant or even dropped. To address this issue, expect to see an increased reliance on data fabrics, which simplifies a company’s data integration infrastructure and creates a scalable architecture to address future integration challenges.
Decision intelligence seeks to explicitly understand and engineer how decisions are made and how outcomes are evaluated, managed, and improved by feedback. Gartner predicts that one-third of large organizations will be using the technology for structured decision-making within the next two years.
The rise of remote and hybrid working has changed the traditional office-centric structure into a distributed enterprise composed of geographically disparate workers. This means that companies must reconfigure their delivery models to support distributed services. By 2023, Gartner predicts that 75 percent of companies that capitalize on distributed enterprise benefits will realize revenue growth 25 percent faster than their competitors.
Gartner believes traditional programming or simple automation will not scale as enterprises grow. The solution to this particular challenge is autonomic systems. These self-managing physical or software systems learn from their environments and can dynamically modify their own algorithms without an external software update, enabling them to adapt quickly to new conditions in the field.
To learn more about these and the rest of Gartner’s strategic technology predictions, take a look at this TechRepublic article.