By using this site, you agree to the IDC Privacy Policy

Print Page

Artificial Intelligence Strategies

IDC's Artificial Intelligence Strategies program assesses the state of enterprise artificial intelligence (AI) efforts, identifies organizational impact, provides guidance on building new capabilities, and prioritizes investment options. The research puts AI in the context of digital transformation and addresses topics of growing importance to audiences such as CEOs, chief data officers, chief analytics officers, and CIOs. These topics include ethics, bias, trust, organizational structure, KPIs, regulation, value definition, AI evolution assessment, and the scope of AI-based automation.

This IDC research service also addresses the needs of AI technology vendors that are incorporating AI into their next-generation offerings. The service helps vendors that face decisions about how to convey their value proposition in a crowded market, how to differentiate their offerings, and how to keep abreast of latest demand trends.

Markets and Subjects Analyzed

  • Overall maturity of artificial intelligence transformation in the industry
  • Insight about organizational structure, governance, talent management, KPIs, business case development, top and emerging AI use cases, leading customer implementations, pricing and packaging trends, regulatory environment, and ethical considerations
  • Approaches to prioritize and fund AI initiatives
  • Convergence of AI, DX, CX, and the future of work
  • Operationalization of AI frameworks and libraries

Core Research

  • IDC Perspective: How to Create an AI Strategy
  • IDC MaturityScape: Artificial Intelligence Transformation
  • A Framework for AI Automation Spectrum
  • IDC Market Glance: AI Solutions
  • IDC Perspective: AI Data Readiness
  • IDC Perspective: Defining Business Value from AI
  • IDC FutureScape: Analytics and Artificial Intelligence
  • IDC Perspective: AI Organizational Structure and Readiness

In addition to the insight provided in this service, IDC may conduct research on specific topics or emerging market segments via research offerings that require additional IDC funding and client investment.

Key Questions Answered

  1. What constitutes superior AI transformation maturity relative to peers?
  2. What are the logical next steps to advance AI transformation maturity?
  3. How should business cases for ongoing investment in AI be developed?
  4. How should the scope of AI-enabled automation be defined?
  5. How should we ensure that AI capabilities are operationalized and pervasively available?
  6. What are the pricing structures that exist for monetizing AI capabilities?
  7. What are the ethics considerations that should be addressed in using AI?
  8. How are AI capabilities and the roles of humans and machines going to evolve?
  9. What is the organizational structure that is needed to leverage AI capabilities?

Related Links

Meet the Experts
Ritu Jyoti

Program Vice President, Artificial Intelligence Strategies