KMWorld 2018 in Washington, DC concluded last week. Since the event combines attendees registered for the Enterprise Search & Discovery, Taxonomy Boot Camp, Text Analytics Forum, and Office 365 Symposium sub-conferences, co-located exhibitors hear an interesting mix of challenges and views related to knowledge management. Not surprising, some attendees are tasked with finding solutions to very narrow problems such as creating a labeling taxonomy to a set of documents or how to configure Sharepoint to improve search results. As an enterprise search provider in the age of AI, it’s not easy to withhold the bigger idea that, “Heh, you can get a lot more with AI-POWERED SEARCH”.
Are you looking to modernize your data architecture? If so, you’re not alone. According to Gartner, 90% of an enterprise organization’s information is siloed and unleveragable across business processes, meaning it takes too much time to find and understand the connections between data sources.
Our clients report a troubling side effect of this situation: People end up doing analysis on only the 10% of data they're familiar with to avoid the time and cost of trying to access and analyze the rest of the hidden, but potentially valuable information. Needless to say, the demand for a holistic, unified data view is high.
Do you spend too much time and money trying to locate and understand your data? And do you trust the accuracy of what you find?
