The Questions Data and AI Leaders Are Asking Today
As AI adoption accelerates, new challenges are surfacing in governance, operating models, and agentic platforms. See the questions enterprise D&A leaders are asking as they prepare for AI at scale.
As AI adoption accelerates, new challenges are surfacing in governance, operating models, and agentic platforms. See the questions enterprise D&A leaders are asking as they prepare for AI at scale.
Build your analytics team with AI in mind with IIA’s strategic workforce planning framework.
In this article we explore current trends and practical use cases that illustrate the benefits and potential of integrating external data into business strategies across various industries.
Take the next step in your data strategy. Read this article for actionable advice on integrating external data into existing frameworks.
IIA has consistently observed seven key dimensions for organizing, growing, and maintaining a world-class data-driven culture. This article will help you evaluate those dimensions and accelerate your data-driven transformation.
In the second installment of our series on maturing analytics capability, we take a closer look at the three-year roadmap in terms of strategic goals and activities.
This article introduces IIA’s analytics capability roadmap, a useful tool for companies early in their analytics maturity journey and trying to shift the balance to advanced analytics and AI projects.
This article concludes our series on common obstacles to analytics success. Here, we explore talent, data literacy, and networking challenges for data and analytics leaders and their teams.
In the third installment on our series exploring the biggest obstacles data and analytics organizations face today and ways to overcome them, we discuss data and technology challenges.