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.