Improve information visibility with an AI-powered business search engine
Jerome Solis Jerome Solis
April 2 5 min

Improve information visibility with an AI-powered business search engine

Organizations across industries are failing to get the maximum value from the information they process. Your business runs on this knowledge and it could be argued that it’s your most important asset. For most organizations it’s scattered across multiple locations and is difficult to find. In this blog, we discuss how an AI-powered business search engine can help solve this potential knowledge gap for businesses everywhere.

The reality of knowledge transfer

Let’s consider the following situation. Jane is an account manager in a large professional services company, who has finished a long and productive conversation with a client.

Quickly, she writes up her meeting notes to share this valuable knowledge with the rest of the company. So far, so good. But when it comes to saving the document, she runs into a roadblock. Should it be saved in the client folder, or the resource folder. Or any of the possible locations, split between different apps, platforms and storage locations?

A lack of intelligent discovery

Jane wants to make sure as many people can find her notes as possible, but wherever she saves it, there will be colleagues who may struggle to find them in a timely manner. The issue is one that plagues many organizations — a lack of intelligent discovery for business information. Companies often falsely assume that if they create a shared area for information, then anything saved within it can be easily discovered. The problem is, it’s not much use sharing information if people don’t know where to look for it.

Companies try and get around this by creating a common set of internal best practices for saving information. But in most situations, such guidelines are either too vague to be useful or too detailed for the user to reliably remember. Of course, Jane could simply save her file wherever she likes and send it to users she thinks are relevant. But what happens to other users that might need that information, potentially even after Jane’s left the company?

What’s your semantic intent?

Capturing knowledge across a business has always been difficult. No matter how well structured a knowledge management strategy, information often goes untapped, insights unexplored and opportunities missed. Many users have found their way around this problem by using a tagging or search mechanism to locate information that might be useful. This can be successful to an extent but is quite rudimentary; if users don’t search for the exact tag or search keyword, it’s likely that the document they need won’t show up, however well it matches their search intent.

To truly solve this problem, users need an information search feature that can truly understand the semantic intent of their query rather than simply matching keywords and tag words for word. Until recently, that’s been impossible. But with an AI-powered business search engine, there’s a solution.

Reading between the lines

With the emergence of technologies like natural language processing (NLP), we can truly begin to understand the meaning of a search query and facilitate effective knowledge transfer. It reads between the lines to understand the semantic intent of a user’s search query. By applying the same logic to the information in documents, software, spreadsheets and more, it can intelligently identify the right information.

Looking back at the example of Jane and her colleagues, with a tool like this it doesn’t matter whether she saves the information in the client or resources folder. That’s because the AI system can detect whether the call notes are relevant to her colleagues and provide the right information for the right person.

Your intelligent business search engine

A company can process all the information, data and insights in the world, but if users can’t find it, it’s not worth the paper it’s printed on. The situation with Jane and her colleagues is all too common; companies everywhere fail to get the most out of their internal information, because people don’t know how to find it.

That’s why we developed our business search engine, Element AI Knowledge Scout. Using AI, it provides contextual search results that integrate data from diverse systems, providing the answers your employees need. Here’s a look at how it works:

  • AI algorithms analyze the semantic intent of both structured and unstructured data to determine relevance, based on context not keywords.
  • Machine learning is used to improve the algorithm over time, learning based on how users interact with the suggestions and observing trends in your company’s unique phrases.
  • Built-in explainability means you can see how the algorithm understands the question and how it came up with the answer.
  • Easily scales by connecting to new platforms, plugins and modules

Element AI Knowledge Scout is a decision-support product that leverages natural language search on enterprise data, empowering employees to draw insights from information and expertise held within their organization.