Struggling to Scale Information Dissemination for the Virtual Digital Workforce?
Learn how personalized online, virtual, chatbot, device and application search for optimized data access can help you achieve the scale you need.
Originally Aired: Thursday, April 30, 2020
Presented by: Factor’s Bram Wessel and Simon Taylor of Lucidworks
Cost: Free!
About the webinar
Many of us have spent the last few weeks working from home in some form of lockdown due to the COVID-19 pandemic. The sheer employee and consumer thirst for accurate information in the COVID-19 environment have highlighted just how critical it is to implement intelligent solutions that apply deeper learning paradigms that can provide individuals with higher levels of accuracy and relevance to their searches and questioning.
Hyper-personalized human experiences are necessary, at the best of times, to compete in today’s business environment. However, many organizations struggle with unifying their information sources and responding to their data in real-time to curate the right response to the needs of data consumers.
How can your organization assure the highest data quality to drive these trusted results and experiences? It all begins with a solid Information Layer.
The current pause of many business activities caught in the COVID-19 maelstrom actually affords a unique opportunity to assess Information requirements and prepare for the future.
In this webinar, we’ll feature an Industry Leading Story/Case Study and we will discuss why great Information Architecture (IA) is critical for success.
Join executives from Factor and Lucidworks for a 30-minute Webinar to learn about:
- How one of the world’s most popular information-sharing platforms reduced call center infrastructure by 90% and call center activity by at least 34%
- Ways that a solid enterprise-wide Information Architecture can enable robust business capabilities
- How an enterprise search platform powers predictive and hyper-personalized experiences that lead to faster decision-making, happier teams, and more loyal customers.
