IBM “AI in Action” Report Identifies Key Characteristics of Businesses That Consider Themselves Leaders in AI – Everything Law and Order Blog

IBM recently released a new report called AI in Action that highlights artificial intelligence strategies of businesses considered “AI Leaders.” The report is based on a survey, conducted on behalf of IBM by Harris Poll, of 2,000 companies across the U.S., U.K., India, Japan and Germany.

According to the findings, of the 2,000 businesses surveyed, 15% reported being far ahead of their peers when it comes to leveraging AI to maximize value across their business. The report defines these businesses as “AI Leaders.” The remaining 85% of respondents were classified as “Learners.”

“Of the organizations that were considered AI Leaders, two-thirds reported that AI has already driven 25% or greater improvement in their revenue growth rate,” said Shobhit Varshney, VP & Sr. Partner, Americas AI Leader, IBM Consulting. “We dove into the data to uncover how these AI Leaders were implementing AI within their businesses that could help others learn from their success.”

The report identified four key findings that may explain the outcomes achieved by AI Leaders:

  • Investment: 71% of AI Leaders describe their organizations as being very aggressive with respect to making investments in AI, compared to 19% of Learners.
  • AI Data Management: AI Leaders were far more likely to express confidence in their ability to access and effectively manage their organization’s data to support AI initiatives (61% vs. 11% of Learners).
  • Strategic Focus & Alignment: AI Leaders were more likely to report that their C-suite was fully aligned with IT leadership on what it would take to achieve AI maturity (72% vs. 36% of Learners). Further, data found that AI Leaders were 80% more likely to invest in four use cases: customer experience, IT operations and automation, virtual assistants and cybersecurity.
  • Ability to Customize: AI Leaders were more than twice as likely to express confidence in their ability to customize their AI efforts to achieve optimal value. (72% of Leaders vs. 33% of Learners) In practice, 61% of Leaders reported using APIs to create their own solutions (vs. 28% of Learners).

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