As AI adoption accelerates, organizations need to decide whether they are pursuing everyday productivity gains or more game-changing transformation. Gartner predicts that by 2025, generative AI will be a workforce partner for 90% of companies globally, yet only 4% of IT leaders say their data is AI-ready, and only 9% of CIOs say their organization has an AI vision statement in place. This whitepaper helps IT leaders assess AI opportunities, prioritize feasible use cases, and prepare the business with the right security, data, and AI principles.
What’s Inside
- AI Opportunity Mapping: How to define AI ambition and decide where AI should create value.
- AI Opportunity Radar: A framework to map use cases across everyday AI, game-changing AI, internal operations, and customer-facing areas.
- AI Ambition Levels: How enterprises approach AI as productivity pursuers, internal-only adopters, or AI-first organizations.
- Feasibility Assessment: How to evaluate AI use cases by technical feasibility, internal readiness, and external readiness.
- Industry AI Use Cases: Examples of AI opportunities in banking, manufacturing, and government human services.
- AI-Ready Security: How IT leaders should prepare for new AI-driven cyber risks and attack vectors.
- AI-Ready Data: Why data must be governed, secure, unbiased, enriched, and accurate before AI can scale.
- AI Principles: How to define clear boundaries for responsible and strategic AI use.
- IT Team Readiness: Practical focus areas for CIOs, CISOs, CDAOs, enterprise architects, infrastructure teams, and software engineers.
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