Making Knowledge Actionable With Intelligent Search and Content Analytics
Making Knowledge Actionable With Intelligent Search and Content Analytics
Knowledge has little value if it’s not put to good use. Knowing something but not acting on it helps no one. But before you can act on knowledge, you need to find it...
Generative AI and Language Models for Support
Organizations across many functional areas require fast and desirable support to optimize processes and keep customers and workforces happy. This paper will look at three functional areas with particular needs regarding support tickets and requests: Customer Service, Human Resource Management, and Maintenance...
Generative AI for Search Increases Findability
Helping Users Move Forward—Not Back. Did you know that the most commonly used hyperlink is the back button? Users often turn to the back button because they have found themselves in a place they didn’t intend to go. They are searching for something, and they didn’t find the answer they needed...
Demystify Data Intelligence With a 3-Step Approach
Employees spend 19% of their day frustrated, simply trying to locate information to do their jobs, or worse, duplicating efforts by recreating content in lost, hidden, or misfiled documents. In our accelerating business environment, this statistic is not acceptable, which is why a data intelligence strategy is crucial for success...
The Rise of Intelligent Answer Engines
Although search engines have been around for decades, and internet search tools like Google or Bing have slowly improved, the same cannot be said for enterprise search. Search for enterprises centers around helping employees and customers find specific and reliable information about the business or products...
3 Knowledge Management Myths Weighing Down Your Company
On a scale of one to 10, with one being it needs a lot of work and 10 being awesome, how would you rate your company’s knowledge management (KM)?
If your answer is still struggling, you’re not alone. Since 2014, the Technology and Services Industry Association (TSIA) has polled companies about their KM initiatives...
Elevating Knowledge Management Outcomes With LLMs: 7 Key Applications
In the era of information overload, knowledge managers struggle with handling, organizing, and extracting insights from the oceans of data.
To tackle the challenges effectively, they must adhere to the four crucial stages of the knowledge lifecycle: creation, maintenance, findability, and gap analysis...