Glean, a provider of knowledge workers with intelligent search and discovery solutions, unveiled a number of new capabilities on Tuesday that make use of artificial intelligence (AI) to gather and display pertinent data from all throughout an organization.
The features, which are based on Glean’s unique knowledge model, are intended to increase employee productivity and teamwork, especially in remote or hybrid work situations, as well as the accuracy and security of company data and content.
One function, called AI replies, may produce a single succinct response to a natural language query by using a variety of information, context, and permissions sources inside an organization. Based on Glean’s analysis of content, activity, and relationships, another feature called expert detection can help users find and interact with subject matter experts within their organization.
Users can get more information and context about whatever asset they are working on, such a document or a presentation, by using a third feature called in-context recommendations.
According to Arvind Jain, CEO of Glean, “We built Glean with the understanding that accuracy and security were critical to our success.” According to their current access rights in the source systems that Glean searches, “Glean’s governance engine makes sure that users only have access to information that they’re allowed to see. Our clients can feel secure knowing that all of their real-time enterprise data permissions and governance requirements are being followed in this way.
Made with the business customer in mind
Jain, a renowned Google developer, started Glean in 2020. The business was valued at $1 billion when it announced its $100 million series C investment round in May. More than 70 companies, including those in technology, media, education, and health care, are said to use Glean.
According to Jain, there is a “great opportunity: AI can alter the way that we operate by making knowledge available and reducing the time and resources spent by employees looking for the information they need to complete their jobs.
But there are substantial obstacles to overcome when implementing AI in the workplace, and care must be taken to make sure that workers are given the correct information. At Glean, we think that any AI tool utilized in the business must be accurate, secure, and referenceable.
Cost reduction and increased productivity
Knowledge employees lose $1 trillion in productivity annually because they spend 20% of their time looking for and acquiring information, according to a McKinsey & Company analysis. The study also discovered that using AI may cut down on this time by 35% and boost income by 6%.
A trusted knowledge model that Glean has developed strives to fit the enterprise’s needs for accuracy, security, and reference capabilities. The approach, whose development took four years, is supported by three pillars: comprehensive referenceability, permissions and data control, and company knowledge and context.
The technology uses real-time data permissions and governance restrictions while retraining deep learning language models (LLMs) on a company’s particular knowledge base. It also demonstrates the information’s sources and the methodology used to produce each response. According to Jain, for generative AI to be useful in business, the proper search foundation must be used.
