Data & AI
Why generative AI matters
97%
of organizations expect gen AI to be transformative but only 31% have invested significantly
63%
say at least half their workers have received AI training but only 5% have reached the full workforce
47%
of CXOs say data readiness is the top challenge with applying generative AI
2%
Only 2% of companies have identified as having fully operationalized Responsible AI across their organization, with a further 31% expected to do so in the next 18 months
How we see generative AI
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Responsible AIRethinking responsibility with generative AI
Powerful AI tools like generative AI bring unprecedented opportunities as well as massive new risks. Responsible AI requires taking intentional actions to design, deploy and use AI to create value and build trust while protecting from potential AI risks.
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European Union AI ActAre you ready for regulated AI?
The EU AI Act will be the most comprehensive AI legislation in the world to date. And it will have critical implications for all multinational organizations. The Act’s reach will extend globally. Any organization that develops or deploys AI systems within the EU will need to comply.
What you can do
Shift from siloed use-cases to a value-led approach across the enterprise value chain. Prioritize two types of investments simultaneously: table stakes use cases that achieve radical efficiency, and strategic bets that offer truly novel advantage.
Elevate enterprise IT for the AI era with a strong, secure digital core that includes a modern data foundation, flexible AI architecture and AI-ready applications. Make informed choices on foundation model selection and ecosystem partners.
People are the key to unlocking AI value. Invest as much in people as technology. Adapt operating models for new ways of working. Put talent development at the forefront. Commit to continuous learning at all levels to maximize the potential of AI.
Establish responsible AI principles. Define the intentional actions needed to design, deploy, and use AI responsibly. Implement technology that enables those actions systematically to drive value while managing AI risks.
Embrace generative AI reinvention as a continuous strategy. Define a modular, step-by-step approach to innovation, allocating capital, time and talent over multiple years.
