“By 2019, 50% of analytic queries will be generated using search, natural-language processing, voice or autogeneration. By 2022, information will proactively find more employees more often, thereby providing the insight needed to progress decisions and actions, and reducing reactive searching by 20%.”

This data provided by Gartner in its Magic Quadrant for Insight Engines 2018 paints a clear picture of the digital transformation era where enterprise workers are increasingly engaging with new and advanced technologies for searching via natural language as part of their business activities. Today, providing quick and effective responses to difficult queries is a key driver for an enterprise’s competitive advantage and growth. This is why it’s more important to be able to access unstructured data than ever before. Workers need the right information and in the right context

. “Whereas enterprise search tools merely enable you to seek information, insight engines go further. They enable delivery of information in context. As such, they inform,” according to Gartner.

The heart of insight engines is exactly this: the ability to combine artificial intelligence technologies, natural language processing, natural language understanding and text analytics to provide richer indexes from multiple sources, understand more complex queries and deliver insights, interactively and immediately, identifying relevant and contextualized information.

How can insight engines change the way we search?

Insight engines meet users’ expectations because they understand any request in natural language, discover information from any knowledge base and provide accurate answers through any channel, all at a dramatically reduced cost.

Thanks to AI technologies, insight engines help companies leverage the full value of all the information they manage: they ensure that an organization’s information is more accessible, findable and intelligent.

Insight engines enable faster and more effective retrieval of relevant data that is acquired from various sources within an organization and externally, and they are able to manage different formats; they support analysts and knowledge workers in the activities of search, monitoring and automatic correlation of information… since the problem is not only to manage a large volume of information but also to connect the dots and transform them into actionable insights.

Why Gartner selected Expert System

. For the second consecutive year, Expert System’s Cogito technology has been recognized for its sophisticated capabilities for multilingual natural language processing and strong services’ expertise as key differentiators that appeal to customers: a strong confirmation of Cogito’s capabilities. Cogito leverages Artificial Intelligence to effectively manage unstructured information, and it allows organizations to extract and analyze knowledge, supporting and improving decision-making processes.