Today, people don’t just want results from the searches they execute through their personal smart devices, they want answers. As users become more and more used to these everyday smart apps, they’ve come to expect the same experience in the enterprise. This can now be delivered through intelligent enterprise search applications powered by maturing AI technologies, such as natural language processing (NLP), machine learning, computer vision, and knowledge graphs.
In this white paper, we identify the building blocks for intelligent enterprise search and show how organizations can move forward on their journeys to this capability. You will read about:
- The importance of high-quality data to train AI technologies to better understand the user and the content
- The stages of search maturity
- Common enterprise search use cases and technologies (cloud-based and on-premise search engines)
- Key considerations for building an intelligent enterprise search solution, from selecting the right search technologies to integration with AI technologies