With the introduction of a few ground-breaking ideas that have redefined how users communicate with search engines, enterprise search has come a long way. Today’s search engines are better able to provide results that are similar to what consumers are looking for.
The technologies that are driving the new face of enterprise search applications are artificial intelligence (AI), semantic search, and Natural Language Processing (NLP), brough to us by the new age enterprise search tools like 3RDi Search, Coveo and Commvault. This article delves further into how artificial intelligence (AI) has influenced the evolution of enterprise search.
Understanding Artificial Intelligence
Before we get started, it’s important to understand what artificial intelligence is. What is artificial intelligence (AI)? Well, it’s technology that enables machines to understand human language, “read” patterns of user behaviour, comprehend each user in order to provide customised performance, and perform tasks in the same way that humans do. To put it another way, it is the technology that enables “intelligent” machines to also “challenge” humans.
Artificial Intelligence and Machine Learning
As a result, we’ve seen that AI has a lot of promise. After that, let’s take a closer look at how AI aids machine learning and, in turn, how this aids enterprise search software in better understanding user behaviour and providing search results that are ideally tailored to meet the user’s needs.
By efficiently processing vast quantities of user data, AI gives enterprise search engines the ability to train machines to detect trends in user activity. Since AI drives machine learning, search engines can process user data in real time, allowing them to fine-tune search results in real time to deliver the most relevant search results to each user.
Why AI for Enterprise Search
Here are a few takeaways about how AI is poised to reshape enterprise quest and why it’s here to stay.
1] Helps the Algorithm Develop a Skill
Who said humans were the only ones with abilities? Algorithms have acquired skills as a result of AI, and no one is complaining! Algorithms can now be programmed to predict the outcomes that are most relevant to the consumer.
2] Higher Level of Accuracy
Yes, AI is a key component of intelligent search, which ensures that results are correct every time and allows the enterprise search engine to comprehend user activity without overlooking minor information. This opens the door to a whole new level of interaction between search engines and humans, with applications in science and even medicine.
3] Maximizes Data Utilization
Today is the era of Big Data, and an organization’s ability to unlock the value of the data at their disposal will offer them a competitive advantage. This is made possible by AI, which “trains” algorithms to learn exactly what to look for in data and how to locate it easily and accurately.