How would you change your process, technologies, and culture to increase organizational performance, effectiveness, innovation, and the bottom line? We asked each of our KM thought leaders this question. Their responses provide tips, strategies, and models for the audience to use to hack KM in their organizations!
The path of good search does not always run true, to paraphrase Shakespeare. Rather than focus on the negative, Linda Sharp brings perspective to the obstacles faced when implementing and enhancing enterprise search and discovery. She offers practical solutions to staying on course and navigating through rough waters. Recent developments at Sinequa add to our understanding of search and provide insights into best practices within the enterprise.
Measuring relevancy was long been a wicked problem in the enterprise search and discovery world. Many companies are struggling to put key performance indicators (KPIs) in place and determining when a new relevancy model is better than the one currently in place. Giancarlo Crocetti shares Search Sessions, which he thinks will replace relevancy in the near future and wonders about jettisoning metrics. According to Lucidworks, low relevancy produces bad results that turn off users. You can’t make it better with seeing the algorithm. Grant Ingersoll describes how Lucidworks enhances relevance. This session will give you lots to think about.
Traditional enterprise search can’t always keep pace with business and technology changes. Coping with the explosion in cloud, mobile, and social information repositories is a struggle. With the variety of cloud-based and hybrid search options, the temptation exists to go completely cloud, but you might want to consider a hybrid approach or even to revive an established approach. A panel debate looks at pros and cons from both organizational and technical perspectives.
Is it better to find or to search? Most will agree it’s the finding, yet search must be effective to facilitate finding. Reed Barrett shows how semantics can enhance the effectiveness of existing platforms and narrow the gap between the interfaces powered by keyword-based algorithms and an unstructured knowledgebase. Bob DuCharme covers the Ketos system, which analyzes the semantics of a set of documents and generates metadata. It integrates with Solr, as exemplified by its usage within the Department of Defense.
Looking back a few years, the enterprise search market was rich with competitive and capable commercial search products. Today, open source is a safe choice in Big Data, data analytics, and enterprise search. Clay Pryor describes how to improve search results and performance through Solr configuration changes. If you’re stuck with an old technology—or if the new technology of your choice isn’t working out—Miles Kehoe has some suggestions for you. How can you navigate safely to an open source shore?