According to a report, For businesses with 5000 employees, knowledge-sharing inefficiency costs about $13.3 million per year.
The ever-growing volume of data within organizations creates a significant challenge in extracting valuable knowledge from this vast repository. This knowledge overload leads to a multitude of issues, including increased resolution times, knowledge gaps, and difficulty in distinguishing between new and known cases.
These challenges directly impact customer experience, potentially damaging brand reputation. Fortunately, AI-powered search has emerged as a powerful solution to combat these challenges. Interested to know how? Let’s find out how:
Explore the Horizons of AI-driven Enterprise Search in Knowledge Discovery
AI-driven enterprise search has revolutionized the landscape of information retrieval, introducing a paradigm shift in how we access and utilize data. It not only extracts optimal snippets from diverse repositories by unifying content, it also offers context-aware, personalized, and factually accurate results to users, elevating the efficiency and precision of information retrieval processes.
In the realm of knowledge discovery, SearchUnify has emerged as a distinguished leader, earning recognition in the 2023 IDC market for Worldwide General-Purpose Knowledge Discovery Software. This accolade solidifies its position at the forefront of innovative solutions. For those seeking a comprehensive Knowledge Management (KM) solution, your search ends with Knowbler.
