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Insight Engine

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https://squirro.com/

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Solution introduction

The Core Technology Behind Squirro’s Solutions

Unlock the potential of the Insight Engine to craft intelligent, tailored solutions using the ready-to-use building blocks

Combining Powerful AI Technologies to Do More with Your Data
An Insight Engine combines powerful AI technologies to understand and build on the data it processes. It uses machine learning, natural language processing, retrieval augmented generative AI, and knowledge graphs to extract the most relevant insights, patterns, and trends from large and diverse datasets.

Combining these technologies enables the Insight Engine to identify hidden connections between data points and consolidate them into actionable insights. This allows you to make your decision-making processes smarter, faster, and more accurate. Squirro’s Insight Engine has been recognized as a Visionary in the Gartner® Magic Quadrant™ for Insight Engines for two consecutive years.

Unlocking Actionable and Contextualized Insights You Can Use
Data is at the heart of every organization's operation. From emails to news events, we interact with data daily. However, extracting meaningful business value from data takes time and effort.

Using analytics and AI technologies, Squirro streamlines and automates these processes, enhancing efficiency. The Insight Engine gathers and presents all your data in easy-to-understand dashboards, empowering you to make informed decisions and take the right actions.

Flexibility and Adaptability for Your Specific Use Case
Squirro provides pre-built solutions for specific use cases, as well as the flexibility to configure custom solutions using all the functionalities available in the Insight Engine platform.

With its user-friendly interface, you can perform data analytics on your own and create easily shareable dashboards. Additionally, all solutions can be integrated with existing systems or workbenches of your choice. Squirro also offers no-code data classification via the AI Studio and Model as a Service (MaaS) for deploying and maintaining their machine-learning models in a production environment.

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