Gartner survey: Most company strategists discover AI and analytics crucial to success

A brand new survey performed by Gartner has revealed that as many as 79% of world company strategists see AI, analytics and automation as crucial drivers for fulfillment over the subsequent two years.

Performed between October 2022 and April 2023, the ballot highlights enterprises’ rising concentrate on next-gen applied sciences. Now, corporations are taking a look at superior programs not solely to deal with repetitive or fundamental duties but additionally high-value tasks immediately associated to enterprise progress, resembling strategic planning and decision-making. 

Gartner interviewed practically 200 company technique leaders for the survey, overlaying corporations serving completely different industries in North America, Western Europe, Asia-Pacific, Australia and New Zealand.

The vast prospects 

Though simply 15% of strategic planning and execution actions are at present automated, survey respondents expressed excessive ranges of optimism concerning the prospects that lie forward. In reality, most stated that on common, 50% of those actions might be partially or totally automated within the close to future. 

In keeping with the surveyed leaders, progress is sure to return as they’re compelled to sort out extra initiatives, extra knowledge and extra choices with restricted time and sources — one thing that isn’t potential with out quicker/higher methods to crunch and analyze knowledge. 

“Leveraging analytics and AI for extra environment friendly, insightful technique choices is among the greatest challenges and alternatives company strategists face this yr,” stated David Akers, director for analysis at Gartner. 

“For years, strategists have informed their companies: If you wish to keep aggressive and efficient, you must go digital,” he continued. “Now, they seem prepared to use that steerage to their very own workflows.”

Superior applied sciences being explored

In keeping with the survey findings, well-established applied sciences are seeing aggressive enterprise adoption, whereas rising ones are nonetheless largely within the experimental part.

As an example, 72% and 62% of respondents stated they’ve deployed descriptive and diagnostic analytics into their workflows. Nevertheless, roughly 26% and 41% had this reply for extra superior prescriptive and predictive analytics. As an alternative, for these applied sciences, most (47% and 45%, respectively) stated they’re both piloting or gathering data.

Equally, for currently-trending machine studying and pure language processing capabilities, simply 20% and 23% of respondents stated they’ve programs within the deployment stage. And, the bulk nonetheless continues to be within the testing and pilot part.

Key to deploying superior AI and analytics

To maneuver from experimentation to deployment, technique leaders ought to concentrate on addressing three key challenges recognized within the Gartner survey: figuring out enterprise use instances, getting companies/features snug with applied sciences and getting the finances to convey these applied sciences into use.

The primary is particularly essential as a lot of the superior know-how is already getting used efficiently elsewhere. Gartner says the issue will be addressed by mapping current performance to particular wants, then prioritizing completely different use instances that new know-how may supply by asking questions on its function, affect and suitability.