Download full report (54 pages).
Organizations are facing an unprecedented knowledge management challenge.
With 80% of enterprise data unstructured and growing by 61% each year, most companies are struggling to keep pace. Employees spend up to 12 hours a week searching for information, yet only 27% of corporate data is properly managed. The result is inefficiency, lost productivity, and costly “dirty data” which can drain up to 30% of annual revenue.
As 80% of companies prepare to adopt generative AI by 2026, the ability to harness AI for intelligent knowledge management has become a strategic priority. Those who act now to structure and leverage their data will gain a decisive advantage in the era of information overload.
Full report (54 pages).
AI is redefining how organizations manage information. With data volumes rising exponentially, AI-driven Knowledge Management (KM) offers a practical solution for transforming chaos into clarity.
Modern AI systems can analyze, structure, and connect unstructured data across departments — turning scattered documents and reports into actionable intelligence.
This report dives into the architecture, implementation stages, and real-world applications of AI in KM, exploring how leaders can mitigate data risks, enhance collaboration, and unlock measurable business impact.
From understanding the GenAI paradigm shift to learning how to implement an AI KM system effectively, this research equips decision-makers with the insights needed to stay ahead of the data curve.
Download the report to discover how AI can help your organization turn information overload into a competitive advantage — improving efficiency, preserving institutional knowledge, and empowering smarter, faster decisions.
