IDC’s Artificial Intelligence Strategies program assesses the state of the enterprise artificial intelligence (AI) journey. It provides guidance on building new capabilities and prioritizes investment options. The research puts AI in the context of business 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 AI, pre-built AI applications.
However, Hybrid and multi-cloud architecture impact AI build. And deployment pricing models, trustworthy AI, augmented AI, and machine learning (ML) operations. This IDC research service also addresses the needs of AI and ML technology vendors incorporating AI and ML into their next-generation offerings. The service helps vendors face decisions about how to convey their value proposition in a crowded market, differentiate their offerings, and keep abreast of the latest demand trends—artificial Intelligence Strategies.
- Enterprise AI Journey — IDC MaturityScape
- Global AI Adoption Trends and Strategies — End-User Surveys
- AI Adoption Best Practices — Buyer Case Studies and IDC PeerScapes
- Artificial Intelligence, Machine Learning, and Deep Learning Market Analyses and Predictions — IDC FutureScape and MAP
- AI Software — Applications Market Trends, Forecasts, and Vendor Market Shares
- Model Validation, Monitoring, Management, and Deployment — Tools and Technologies
- Fairness, Explainability, Robustness, and Transparency — Tools and Technologies
- Data for AI Including Synthetic Data Generation
- Ecosystem Partnering Strategies — Technology and GTM
- Machine Learning and Deep Learning Tools and Technologies Advancements and Futures — Federated Learning, Neuro-Symbolic AI, NLP Fine-Tuning
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.
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