Name
Accelerated Discovery (FOI/FOIA/ATIP) Request Processing Using Collabspace
Date & Time
Tuesday, June 1, 2021, 12:20 PM - 12:40 PM
Graham Sibley
Description

We are living through unprecedented times, and our need for transparent government is greater than ever. One of the foundations of achieving transparency in government is the ability to provide timely and comprehensive access to information, typically know as "freedom of information (FOI)". Most government institutions have struggled to implement solutions that enable information to be easily located, compiled, reviewed, and distributed in response to a FOI request by other institutions or the public. In a great part, this is due to the deployment of disparate information storage technologies focused on end-user collaboration, without consideration of archive or records management compliance. To address this challenge, Collabspace provides cross-system enterprise information archiving, search and discovery, and records management compliance that can be used to dramatically increase efficiency and accuracy of FOI request responses, without impacting your end-users' experience. Collabspace can decrease FOI response times from hundreds of person-hours to minutes. In this session we'll review the capabilities of Collabspace as they relate to cross-system enterprise information archiving, enterprise search and discovery, and enterprise records management. We'll review implementation strategies to ensure all organizational information is visible, discoverable, and managed, including use of Artificial Intelligence (AI) and Machine Learning to enrich information discovery. We'll wrap up by exploring real-world case studies that highlight the cost and effort reduction of employing Collabspace to respond to freedom of information requests. Takeaways: Achieve an understanding of what enterprise archiving, enterprise search and discovery, and enterprise records management capabilities Collabspace offers, and how they can be utilized to see, manage, and discover all organizational information across systems using a Data Lake approach. Learn how Artificial Intelligence (AI), Machine Learning, and Unstructured Data Intelligence can be employed to enrich content for deeper discovery. Explore real-world case studies on successful implementations that dramatically reduced to cost and time required to fulfill freedom of information requests.

Session Type
Breakout session 3