Shelf Blog
Get weekly updates on best practices, trends, and news surrounding knowledge management, AI and customer service innovation.
GenAI promises to provide greater productivity to knowledge work and a recent study on AI productivity may be the conclusive proof organizations need to invest in AI as a strategy. Harvard Business School conducted a study with Boston Consulting Group (BCG) measuring the performance of consultants...
Knowledge managers might have previously compared their role in an organization to a tail trying to wag the dog, but AI is a sea change. Knowledge engineers are now in the best position to understand how to turn an organization’s knowledge into a tailored solution for the optimization of AI.
As many businesses adopt Knowledge as an Infrastructure, the potential for AI will continue to flourish. That progression can take many different forms. We’ve laid out a spectrum of potential outcomes to assist business leaders considering adopting AI into their business.
The challenges of Salesforce Knowledge pose significant risks for businesses attempting to compete in a space heavily influenced by AI. Usability problems, reporting restrictions, lack of integrations, high costs, and poor use of AI all contribute to a poor productivity and cost-effectiveness.
A modern KMS tool will unlock your organization’s knowledge to be used with GenAI solutions and other innovations made possible by artificial intelligence. Shifting your organization’s strategy from digitizing knowledge to laying the foundation of Knowledge as an Infrastructure can make the difference for successfully implementing the power of AI.
Knowledge management (KM) is changing dramatically due to its role in supporting artificial intelligence (AI) solutions. It’s never been a better time to attend knowledge management conferences and get a sense of how KM is changing across industries.
The world is changing because of artificial intelligence (AI), but for many businesses it’s not clear how we get from the way things are now to the hyper-productive utopia pitched by AI solutions. For many executives and VPs tasked with integrating AI into their business, their focus is on...
How important will an AI knowledge management system be in the future? Gartner’s 2022 Market Guide for Customer Service Knowledge Management Systems, by principal analysts Pri Rathnayake and Drew Kraus, reveals an eye-opening prediction: “By 2027, 40% of knowledge management systems that do not...
Traditional KMSs stand no chance. An AI-based knowledge management system (KMS) is the intrepid explorer of our digital age, charting the vast terrain of data within organizations. They wield the power of artificial intelligence, machine learning, and natural language processing to create an...
If you like this article, subscribe to our email newsletter that helps you learn about AI and knowledge management. Join the 1000s of execs, CX leaders, and KMs who get insights in their inbox every 1-2 weeks. You won’t be disappointed! *** Picture your contact center as a sports team, striving...
Picture this scenario of the relationship of AI in knowledge management: a bustling contact center, where customer inquiries are swiftly resolved with unrivaled precision and personalized care. What powers this extraordinary transformation? The answer lies within the ingenious confluence of...
In this benchmark report, we present data reflecting the views of customer experience (CX) leaders who attended Call and Contact Center Expo in Las Vegas, NV from April 26-27, 2023. Participants completed a written survey asking about their contact center priorities, challenges, the future, and...