Understanding Cloud to Become an Expert at Search
It’s all about the cloud these days as more and more companies offload their data looking to streamline their businesses. With this technological evolution, the cloud has opened up exciting possibilities for knowledge management, particularly in the area of search.
Opportunities for increased knowledge sharing to increase productivity exist - both within and outside the U.S. - through enterprise search, predictive search, federated search, and chat integration.
KMWorld recently held a webinar that explored how AI-powered search can help knowledge workers get instant access to relevant documents and personalized results. The roundtable discussion featured Quin Hoxie, CTO and co-founder at Swiftype, and Ben Fitzpatrick, managing director at North America KMS Lighthouse.
According to Hoxie, modern workforce challenges that persist in enterprises include content that exists in multiple places, the proliferation of too many cloud-based apps, finding the right content within duplicated content, and limited development resources.
Switfype Enterprise Search can help companies navigate the process of grabbing the right information at the right time, Hoxie said. The platform is a hosted, modern cloud-based solution that indexes different sources, accessible from one search bar. It supports commonly used connectors for knowledge management teams, has a suite of applications to minimize workflow distractions, improves employee productivity, and eliminates hidden costs to free up valuable time.
It’s important to deploy an engagement strategy through unified knowledge that includes contact center agents, customer self-service, a distributed workforce, and a focus on internal corporate use, according to Fitzpatrick.
The cloud helps enterprises differentiate and improve the customer and employee experience by providing faster onboarding, omni-channel integrations, customer self-service, and easier and faster platform access.
An archived on-demand replay of this webinar is available here.