Join senior executives in San Francisco on July 11-12 and learn how business leaders are getting ahead of the generative AI revolution. Learn more
Conducted between October 2022 and April 2023, the survey highlights growing business interest in next-generation technologies. Today, companies turn to advanced systems not only to handle repetitive or basic tasks, but also for high-value projects directly related to business growth, such as strategic planning and decision making. .
Gartner interviewed nearly 200 corporate strategy leaders for the survey, covering companies serving different industries in North America, Western Europe, Asia Pacific, Australia and New Zealand.
The wide possibilities
Although only 15% of strategic planning and execution activities are currently automated, respondents expressed a high level of optimism about the opportunities ahead. In fact, most said that on average 50% of these activities could be partially or fully automated in the near future.
According to the leaders surveyed, growth is inevitable as they are forced to tackle more initiatives, more data and more decisions with limited time and resources – which is not possible without means. faster/better to crunch and analyze data.
“Leveraging analytics and AI for more effective and insightful strategic decisions is one of the biggest challenges and opportunities facing business strategists this year,” said David Akers, director of research at Gartner.
“For years, strategists have been telling their companies: if you want to stay competitive and efficient, you have to go digital,” he continued. “Now they seem ready to apply that advice to their own workflows.”
Advanced technologies under study
According to the survey results, well-established technologies are being aggressively adopted by enterprises, while emerging technologies are still largely in the experimental phase.
For example, 72% and 62% of respondents said they have deployed descriptive and diagnostic analytics in their workflows. However, approximately 26% and 41% had this response for normative criteria and predictive analytics. Instead, for these technologies, most (47% and 45%, respectively) said they tested or gathered knowledge.
Similarly, for fashionable machine learning and natural language processing capabilities, only 20% and 23% of respondents said they have systems in the deployment phase. And, the majority continues to be in the testing and pilot phase.
Key to deploying advanced AI and analytics
To move from experimentation to deployment, strategy leaders need to focus on the top three challenges identified in the Gartner survey: determining business use cases, getting businesses/functions comfortable with technologies, and obtain the budget to implement these technologies.
The former is particularly important because much of the cutting-edge technology is already being used successfully elsewhere. According to Gartner, the problem can be solved by matching existing functionality to specific needs, then prioritizing the different use cases the new technology might offer by asking questions about its purpose, impact and relevance.
VentureBeat’s mission is to be a digital public square for technical decision makers to learn about transformative enterprise technology and conduct transactions. Discover our Briefings.