The increasing number of data points are challenging the business on how to best use them effectively and meet privacy and governance concerns. The exponential increase in collaborative platform activities, including their integrated solutions, increase the number of data points further.
Goals and Objectives
The exponentially increasing number of data points will require AI/ML to codify content (documents, spreadsheets, conference meetings, images, video, mixed reality, etc.) and surface relevant content to the appropriate users. The need to measure the knowledge management reuse will also be a critical measurement.
Knowledge assets (documents, spreadsheets, videos, scanned forms) that are becoming centralized and indexed for reuse (Data from integrated applications within the collaboration platform also provide data unique to the tasks of the integrated applications. Every application in the enterprise qualifies as a data source, although it may take time to properly utilize them. Systems for automating and processing metadata and tagging of unstructured data are also key components.)
Use Case Summary
As data sources continue to be integrated into storage and collaboration applications, the codification and reuse — the knowledge management of these assets — will, over time, provide significant benefits to the enterprise that streamline the flow of work, and the measurement of those outcomes.