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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 C-level executives, key decision makers, and influencers. These topics include build versus buy, AI data readiness, embedded and configurable AI, deployment and consumption models, end-to-end optimized solutions, ethics, bias, organizational structure, KPIs, regulation, and 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
  • AI frameworks, libraries, and learning methods
  • AI-centric applications: Conversational AI, computer vision, intelligent process automation, recommendation engines, discovery applications, ADAS
  • Optimized AI solutions
  • AI cloud services
  • AI at the edge
  • Embedded and configurable AI

Core Research

  • IDC Perspective: How to Create an AI Strategy
  • IDC Market Perspective: Ethical and Explainable AI
  • IDC MaturityScape: Artificial Intelligence Transformation
  • IDC Market Glance: AI Ecosystem
  • IDC Market Perspective: AI Technical Trends and Advancements for Enterprises
  • AI Strategies and Learning Methods Global Survey
  • IDC PeerScape: AI-Centric Applications Case Studies
  • IDC Perspective: Training and Inferencing — Public Cloud, On-Premises or Edge and Evolving AI Cloud Services
  • IDC Perspective: AI Organizational Structure and Readiness
  • IDC TechScape: AI Core and Enabling Technologies
  • IDC Market Forecast and Share (Overall and AI-Centric Applications)

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 technical AI trends and advancements to accelerate AI adoption?
  3. What are the leading ML/DL use cases for enterprises?
  4. What are the new rules for build versus buy decision for AI?
  5. How has embedded AI evolved and what's the future?
  6. How should the scope and levels of AI-enabled automation be defined?
  7. What are the pricing structures that exist for monetizing AI capabilities?
  8. What are the trends and growth rates for on-premises, cloud services, or edge for AI training and inferencing?
  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