Our insights explore the foundations behind successful artificial intelligence initiatives, with a focus on data, governance, risk, and organizational readiness. The goal is to move beyond hype and provide leaders with grounded perspectives on what it takes to make AI work in practice.
Featured Book
Examines why artificial intelligence initiatives so often fall short and what organizations need to make AI work in practice. Rather than focusing on algorithms or tools, the book emphasizes the foundational capabilities behind successful AI, including data management, governance, organizational readiness, and trust.
Drawing on decades of experience in data, analytics, and AI, Fern Halper, PhD, offers a practical framework for leaders and practitioners who want to move beyond experimentation and hype and build durable, scalable, and responsible AI capabilities.
From the Blog
Selected articles and research exploring data, analytics, and artificial intelligence in enterprise contexts.
View All BlogsWith the advent of generative AI, I've been giving some thought to the concept of original thought. There is no doubt in today's market that organizations feel pressure to deploy AI. Executives are demanding it; boards are asking questions about it…
January 22, 2026
Looking back, 2025 was not the year enterprises "figured out" AI. It was the year many organizations finally admitted how unprepared they were. When generative AI…
Read ArticleSeptember 15, 2024
AI enters the mainstream. AI is on the mind of many organizations, and for good reason. It can provide a lot of value in terms of cost efficiencies and innovation. Generative AI…
Read ArticleFebruary 13, 2023
At TDWI, we're seeing that organizations are dealing with complex data environments. In our surveys we see that more than half of the respondents…
Read ArticleWhether you are educating leadership, shaping governance, or reassessing your AI foundations, we help you move forward with confidence and judgment.
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