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Turbocharge Your SharePoint Search Engine with Auto-Classification

Recorded - available as on demand webcast

Enterprise Search can be complicated, confusing and time-consuming. According to IDC, 36% of a knowledge worker’s day is spent looking for information from multiple sources and they only find the information they need 56% of the time.

Are your SharePoint users are wasting too much time hunting for information or wading through clutter to find the relevant data, documents and digital content they need to do their jobs?

It may be time to turbocharge your search engine with an auto-classification system – technology that automates the process of classifying and generating metadata for the SharePoint environment.  Auto-classification ensures that the right metadata is associated with enterprise information on a controlled and consistent basis to improve the relevancy of search results as it enables better governance and data quality.  

Attend this webinar and learn the essential steps for adding auto-classification to your SharePoint search platform by:

  • Understanding user profiles and business processes
  • Creating a taxonomy model for auto-classification
  • Leveraging the right tools, technologies and techniques
  • Implementing a solution that simplifies the user experience

Experts from Earley Information Science will discuss the challenges associated with enterprise search and strategies to overcome them by implementing a taxonomy designed for auto-classification.

view webcast

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How to Design Omni-Channel IVAs That Humans Love To Use

During our webinar, "Omni-channel Virtual Assistants - The Next Frontier in Voice and Text for Customer Service guest speaker Chris Featherstone, who leads business development for AI and speech recognition services at Amazon Web Services (AWS) and Seth Earley, CEO of Earley Information Systems (EIS) discussed ways to design omni-channel virtual assistants to optimize their use across voice and text. When supported by an appropriate information architecture and designed with a deep understanding of the customer, virtual assistants can access enterprise knowledge efficiently, saving time and money. The key to success is to structure the underlying information so it can be retrieved and used by any channel, including humans, to deliver the responses that customers need. Here's a recap of the conversation.