As our world continues to change at a rapid pace and take unexpected turns, our organizations have to be prepared to deal with what’s coming next, even if it is unanticipated. Our poplar speaker shares his strategies for future-proofing your organization.
Thanks to Big Data, it is now possible to harvest user event data, such as search logs and click logs, to compute user- based search accuracy metrics and assess satisfaction levels. Learn about the algorithms and processes for computing these accuracy metrics from search pioneer Paul Nelson. Theresa Simek provides a case study and walks us through EY’s content analysis, tips, and tricks for using XRANK, and the value of surveying customers.
It’s the contention of Filip Callewaert that it’s not about information overload, it’s about filter failure. At the Port of Antwerp, search projects start with an exploration of possible technologies, both old and new, using a “collaborative case” variant. Intelligent tools lead to a well-designed search experience. Kristin Rakshys and Kelly Oswald believe that SharePoint can be a good content management solution, although they qualify that with “sometimes.” JLL’s experience with customization and filtering has been successful in saving time and money.
Neural network algorithms enhance customer queries and improve search results relevancy. But how to achieve that result? Sandia Labs uses models such as Word2Vec to better understand and profile its unstructured content. The search application integrates these models with the Solr search engine. This real-world project moves some new technologies out of the theoretical range into the practical.
It’s the bane of the enterprise search manager’s life: information in silos that make content undiscoverable. Ahren Lehnert details the information capture and retrieval ecosystem at Clorox, including content management, taxonomies, and search functionality. The move from multiple search engines to single search contains many “lessons learned.” Research from Robert Gordon University confirms the need for better search and discovery within the enterprise and suggests new models and theories.
The final panel for Enterprise Search & Discovery considers the state of search, exploring what the cloud, graphs, SharePoint, and new technologies have to offer, while not neglecting the human element. What are the most important developments that will make enterprise search and discovery successful in your organization? Our panel of practitioners, consultants, and technologists gives their opinions.
For years, publishers and information providers have rightly considered themselves experts at search. But in response to users’ behaviors and actions, expectations have changed, and smart information providers need to evolve with them. Hear how JSTOR is reacting to the changing expectations of search and setting up processes, technologies, and even a culture that can respond to those changes.