Reports on AI & Machine Learning
Our AI and Machine Learning reports help professionals and organizations explore how AI is shaping business, productivity, and regulation. Whether you’re starting with learning AI and machine learning or refining existing strategies, these reports offer real-world, practical insights.
You’ll find topics such as ROI of Implementing AI, Generative AI’s impact on productivity, and Building AI-Ready Organizations. In addition, we explore AI regulation trends and how to design Trustworthy AI that aligns with transparency and fairness goals. These reports combine expert frameworks, real examples, and useful recommendations. Some are free to access, while others offer deep dives at premium levels. If you want to stay ahead in the evolving world of AI and Machine Learning, this is a great place to start. Browse the full collection below and choose the insights most relevant to your needs or visit our full Research Shop to explore all available reports across industries.
Return on Investment (ROI) of Implementing Artificial Intelligence (AI)
This report maps how AI delivers ROI across industries through automation, personalization, and decision acceleration. It covers measurement frameworks, cost-benefit models, and real-world deployments. Essential for leaders evaluating the value and risks of AI investment.
The Impact of Generative AI on Knowledge Work and Productivity
Learn how generative AI boosts productivity, reduces costs, and transforms knowledge work across marketing, legal, healthcare, and software development sectors.
How to Build an AI-Ready Organization: Culture, Teams, and Change Management
Discover actionable frameworks for building an AI-ready organization, from fostering data literacy and ethical governance to assembling effective AI teams and managing change at scale.
The Future of AI Regulation: What Companies Need to Prepare For
Understand upcoming AI regulations across the EU, U.S., and China, and prepare your organization with insights on compliance frameworks, bias mitigation, transparency, and legal safeguards.
Trustworthy AI: Designing for Transparency, Fairness, and Accountability
Explore how organizations can build AI systems that are transparent, fair, and ethically accountable. This report covers global regulations, bias mitigation, and tools for responsible AI. Includes case studies from IBM, Microsoft, and DeepMind.
