Info-Tech Research Group says AI reveals gaps in information management that limit business value
As AI adoption accelerates, many organizations struggle to manage, trust, and access information across fragmented systems. Expanding AI capabilities across data, content, and knowledge domains is exposing the limits of traditional information management (IM) practices. Info-Tech Research Group’s recent blueprint; Leverage AI to improve information managementprovides a practical, step-by-step framework to help IT leaders build AI-enabled IM practices that maximize the value of their information.
arlington, virginia, April 13, 2026 /PRNewswire/ – AI has added a new layer to information management (IM) that can accelerate how organizations create, access, and use information. However, recent findings from the Info-Tech Research Group show that many IM practices remain rooted in traditional approaches, limiting the areas where AI can meaningfully improve the usability, reliability, and quality of information. Newly released blueprint from global research and advisory firm; Leverage AI to improve information management, It details a structured methodology that helps IT leaders build an integrated IM strategy that spans the information spectrum, reduces risk, and enables AI-driven value creation across the organization.
Insights from Info-Tech’s Blueprint show that even though AI is eroding long-standing boundaries between structured data, unstructured content, and organizational knowledge, most IM practices still operate in silos. Current storage and classification practices expose organizations to increased compliance, security, and reputational risks when information is insufficiently sensitive, inaccessible, or unreliable. The company advises organizations to adopt an integrated, type-agnostic IM approach that prioritizes high-value information and manages it consistently.
“Leaders addressing the changes AI is bringing to the information management space must let go of a dichotomous and hierarchical view of information, where structured and unstructured data are treated as separate worlds.” Nysa Zaran, Research Director, Info-Tech Research Group, said: “Debates between ‘what is knowledge’, ‘what is insight’ and ‘what is information’ lead to chatter but no results.”
Key information management challenges facing CIOs and IT leaders
Despite the rapid adoption of AI, many organizations remain unprepared for how AI will reshape their information environments. The Info-Tech Blueprint highlights several challenges across information management practices, including:
- Rapid advances in AI are making it difficult for leaders to prioritize initiatives and identify high-value opportunities amidst growing amounts of information.
- Disparate principles and inconsistent terminology across data, content, and knowledge impede a unified IM strategy, leading to misalignment and stalled AI readiness.
- The value of improved IM is difficult to quantify and communicate, limiting an organization’s ability to secure investment and maintain momentum.
A practical Info-Tech framework for AI-powered information management
To help IT leaders modernize their IM approach, Info-Tech Leverage AI to improve information management The blueprint outlines a four-step methodology:
Phase 1: AI-powered information preparation – CIOs, information management leaders, and data and knowledge leaders prioritize information assets by defining key business areas, establishing a unified information management framework, and identifying strengths, problems, and low-value activities.
Phase 2: Improvement and strengthen – Leaders in information management, data, and enterprise applications apply AI capabilities to solve high-impact challenges and strengthen their strengths, with a focus on automation, search, and decision support.
Phase 3: Define high-impact initiatives – CIOs, finance leaders, and cross-functional stakeholders build the business case for AI investments by quantifying efficiency gains, cost savings, and risk reduction, and prioritize efforts based on value and feasibility.
Phase 4: Enabling an AI-powered IM approach – IT leaders and business stakeholders create a roadmap with clear timelines and KPIs, and ensure alignment with management to ensure successful implementation and lasting impact.
infotech’s Leverage AI to improve information management The blueprint includes leveraging information management tools including a detailed framework, an executive presentation template to gain executive buy-in, a library of IM principles, a prioritization matrix, and ROI and business case tools. By applying the practical insights outlined in the enterprise blueprint, CIOs and IM leaders can transform their information operations into a unified, AI-enabled model that increases efficiency, reduces risk, and delivers value.
Exclusive and timely commentary from Info-Tech experts, including Nysa Zaran, and access to complete documentation Leverage AI to improve information management For Blueprint inquiries, please contact pr@infotech.com.
About Information Technology Research Group
Info-Tech Research Group is one of the world’s fastest-growing research and advisory firms, serving more than 30,000 IT, human resources, and marketing professionals worldwide. As a trusted products and services leader, the company provides unbiased, relevant research and industry-leading advisory support to help leaders make strategic, timely and informed decisions. For nearly 30 years, Info-Tech has worked closely with teams to provide them with everything they need, from practical tools to expert guidance, ensuring tangible results for their organizations.
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SOURCE Information Technology Research Group
