Confronting data issues and bridging the artificial intelligence (AI) skills gap are 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 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 all 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.
To help companies can get started on their own successful AI implementations, our report offers real-word examples of enterprise-grade AI initiatives, as well as a set of high-level tactics for leveraging data to enable 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.
Meet the authorsFrancesco Brenna, Executive Partner and European Leader, AI Practice,
Manish Goyal, Global Leader, Artificial Intelligence (AI) practice, IBM Global Business Services
Glenn Finch, General Manager and Global Leader, Cognitive Business Decision Support, IBM Global Business Services
Brian Goehring, Associate Partner, AI / Cognitive & Analytics, IBM Institute for Business Value
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