Data & AI
Why Generative AI matters
of organizations expect gen AI to be transformative but only 31% have invested significantly
say at least half their workers have received AI training but only 5% have reached the full workforce
of CXOs say data readiness is the top challenge with applying generative AI
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
Reimagine everything with AI
Innovate securely, responsibly and sustainably with Large Language Models (LLMs) and generative AI for breakthrough innovation and competitive advantage.
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.
What’s trending in generative AI