In today’s digital world, with vast amounts of data available, the need for efficient search tools is essential to keep productivity up. To meet this need, we developed “AI Augmented Search”.

AI Augmented Search is a powerful feature that leverages artificial intelligence (AI) to improve the accuracy of search queries. By combining existing algorithms with deep learning techniques, AI Augmented Search uses a sophisticated neural network with feedback loops to continuously improve its search algorithms. This neural network is constantly analyzing customers’ search queries and results, learning from its mistakes and improving upon them. This ensures that AI Augmented Search is able to provide more accurate and relevant results each and every time.

Benefits to the end user:

1. More accurate and personalized results: AI Augmented Search can understand the context of your search query and provide more accurate results.

2. Faster search results: AI Augmented Search can quickly sort through vast amounts of data to find what you’re looking for.

3. Insight into customer behavior and trends: By analyzing user search data, AI Augmented Search can provide valuable insights that can be used to improve processes.

As an example, if the user is searching for “2659”, our massive data store returns several matches using our traditional free text search. This might include a work order number, a pole number and a house number. Before AI, we simply listed all the results and the user would pick one, similar to a Google search result.

With AI however, the search query (2659) is just one of the inputs. It will analyze the user’s profile, visible data layers, the current date and other parameters to fine tune the search results and return more relevant results. This provides a more intuitive experience and helps users find what they’re looking for more quickly.

Traditional searches are a lot like intelligent guesses: they rely on free text search and a smart user to pick the right match from a long list of results.

AI-enabled searches on our Atlas platform, on the other hand, are derived from measurable data. The process behind it might be complex in nature, but the end result is far better for everyone involved—users find relevant information faster, and businesses get more effective workflows.