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

Carried out between October 2022 and April 2023, the ballot highlights enterprises’ rising give attention to next-gen applied sciences. Now, firms are taking a look at superior methods not solely to deal with repetitive or fundamental duties but in addition high-value tasks instantly associated to enterprise progress, reminiscent of strategic planning and decision-making. 

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

The broad potentialities 

Regardless that simply 15% of strategic planning and execution actions are at the moment automated, survey respondents expressed excessive ranges of optimism concerning the potentialities that lie forward. In truth, most mentioned that on common, 50% of those actions could possibly be partially or absolutely automated within the close to future. 

In accordance with the surveyed leaders, progress is sure to return as they’re pressured to deal with extra initiatives, extra information and extra choices with restricted time and sources — one thing that isn’t potential with out sooner/higher methods to crunch and analyze information. 

“Leveraging analytics and AI for extra environment friendly, insightful technique choices is without doubt one of the greatest challenges and alternatives company strategists face this 12 months,” mentioned David Akers, director for analysis at Gartner. 

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

Superior applied sciences being explored

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

As an example, 72% and 62% of respondents mentioned 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 a substitute, for these applied sciences, most (47% and 45%, respectively) mentioned they’re both piloting or gathering information.

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

Key to deploying superior AI and analytics

To maneuver from experimentation to deployment, technique leaders ought to give attention to addressing three key challenges recognized within the Gartner survey: figuring out enterprise use instances, getting companies/capabilities comfy with applied sciences and getting the price range to deliver 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 could be addressed by mapping present performance to particular wants, then prioritizing completely different use instances that new know-how might supply by asking questions on its objective, affect and suitability.