HomeAI/Cognitive

Shifting toward Enterprise-grade AI


Confronting data issues and bridging the artificial intelligence (AI) skills gap is critical for realizing AI’s value to the enterprise

Download the full reportDownload the infographic

Enterprise-wide AI has the potential to bring exponential competitive advantage to companies that adopt the technology. But many businesses struggle as they move from AI experimentation to implementation. Some, however, are successfully achieving AI at scale. They’re disproportionately financial outperformers and their experiences offer valuable lessons for organizations looking to adopt AI.

To gain their insight, we partnered surveyed C-level executives and top functional leaders about AI and cognitive computing. Based on feedback from more than 5,000 global executives, we explored how organizational views on AI have evolved in four key areas:

  1. Companies have a sharper focus on AI. Ninety-three percent of outperformers* are at least considering AI adoption.
  2. They’re also placing more emphasis on topline growth. Seventy-seven percent of outperformers now cite customer satisfaction as a key value driver for AI.
  3. Data is becoming increasingly important. Eighty-six percent of outperformers now have enterprise-wide data governance.
  4. Skills are becoming an even bigger concern. Sixty-three percent of all respondents now see skills as a top barrier to achieving success in AI.

Companies can get started on their own successful AI implementation by following four high-level tactics for a successful shift to AI.

*Outperformers are those organizations that self-identify as having outperformed their peers on revenue growth and profitability for private sector organizations, or revenue growth and effectiveness at achieving objectives for public sector organizations.


How can IBM help you?

Leverage AI to drive smart reinvention of your workflows and technology

Learn more about AI, data, and analytics offerings.


Bookmark this Report  



Download the study infographic


Meet the Authors:

Francesco Brenna

Connect with author:


, Executive Partner and European Leader, AI Practice,,
Manish Goyal

Connect with author:


, Global Leader, Artificial Intelligence (AI) practice, IBM Global Business Services,
Giorgio Danesi

Connect with author:


,
Glenn Finch

Connect with author:


, General Manager and Global Leader, Cognitive Business Decision Support, IBM Global Business Services,
Brian Goehring

Connect with author:


, Associate Partner, AI / Cognitive & Analytics, IBM Institute for Business Value

Related reports
This study identifies how the most prosperous digital companies use the power of AI-driven operating models, including six key strategies.
This report reveals how chemicals and petroleum leaders are integrating AI into their organizations.
The pervasive challenge faced by consumer products manufacturers and retailers alike is how to plan and execute as an end-to-end supply chain.
To grab more of the burgeoning sports video highlights market, broadcasters are using AI to capture content and engage viewers in new and exciting ways.