Squirro: Elevating Business Intelligence with GenAI & Knowledge Graphs - Live Webinar #AInews #tech

Squirro: Elevating Business Intelligence with GenAI & Knowledge Graphs - Live Webinar #AInews #tech

Introduction

Squirro originally began as an insight engine, a platform designed to deliver valuable and actionable business insights. Over the years, Squirro has earned recognition from notable industry analysts such as Forrester and Gartner. Gartner, for instance, acknowledges Squirro as a visionary in the insights engine industry.

The Emergence of Large Language Models (LLMs)

With the emergence of large language models (LLMs), the landscape of business intelligence has dramatically evolved. Combining traditional search capabilities with LLMs has given rise to what is known as Retrieval Augmented Generation (RAG). This is a pioneering concept that has only been in existence for less than a year.

Squirro’s Advantage and Expertise

Squirro stands out as a leading contender in the RAG space due to its extensive background in building insights engines over the past decade. The company's long-standing expertise in integrating diverse machine learning techniques has made the transition to incorporating large language models relatively seamless.

Leading Retrieval Augmented Generation Stack

Leveraging these capabilities, Squirro has constructed one of the leading Retrieval Augmented Generation stacks. This innovation enables Squirro to serve clients across various domains effectively, providing them with advanced tools for more insightful and efficient data retrieval and generation.

Keywords

• Squirro
• Insight engine
• Gartner
• Forrester
• Large language models (LLMs)
• Retrieval Augmented Generation (RAG)
• Business intelligence
• Machine learning techniques

FAQ

Q1: What is Squirro primarily known for?
A: Squirro is primarily known for being an insight engine that delivers actionable business intelligence.

Q2: How has Squirro been recognized in the industry?
A: Squirro has been recognized by notable industry analysts like Forrester and Gartner, with Gartner naming Squirro a visionary in the insights engine domain.

Q3: What new concept has emerged with the advent of large language models?
A: The emergence of large language models has led to the development of Retrieval Augmented Generation (RAG), a novel concept combining search and language models.

Q4: Why is Squirro a leading contender in the RAG space?
A: Squirro is a leading contender because of its decade-long experience in building insights engines and integrating various machine learning techniques, making it well-positioned to integrate LLMs effectively.

Q5: What benefit does Squirro's leading Retrieval Augmented Generation stack offer?
A: Squirro's advanced RAG stack allows clients in various domains to achieve more insightful and efficient data retrieval and generation, enhancing their overall business intelligence capabilities.