Get answers faster with Geotab ACE conversational analytics.
What is Geotab Ace?
Geotab Ace is revolutionising data analytics by introducing conversational analytics that simplify the process of data exploration and decision-making.
Unlike traditional methods, which require navigating multiple layers like locating reports, setting filters, and performing manual data manipulation, Ace streamlines the workflow by enabling users to directly query their data in natural language and get immediate answers.
This approach eliminates redundant steps, such as downloading and processing data in external tools, and facilitates comparisons or follow-up questions with minimal effort.
By reducing the time from question to insight, Geotab Ace empowers users to focus on deriving meaningful conclusions and driving actionable outcomes, rather than struggling with complex analytics setups.
We want you to find answers…. but faster!
Data analytics today…
Most telematics platforms require you to do the legwork, understand how to write reports and make sure you have rules to capture what you need as it happens. Often this can be time consuming and frustrating.
In comes Geotab ACE!!
In plain english
The system tries to understand what you’re asking and if it’s possible to deliver a response. It then creates a query of your data and formulates a response.
If you’re not sure what to ask or what’s available, there’s heaps of information available to guide you through getting to know ACE. Or you can simply ask “What data can I access?”.
Conversational Analytics and Insights
How it works
Geotab Ace is designed to streamline the flow of questions and ensure accurate responses through a meticulous multi-stage process. Upon receiving a query, it undergoes an initial evaluation by the Audit Layer to determine its validity and appropriateness for further processing. Once cleared, the query advances to the Knowledge Layer, where the system identifies the most relevant questions and data schema to construct an accurate query. This task is entrusted to a sophisticated Generative AI (LLM), which carefully crafts the query in a format compatible with Google BigQuery (GBQ).
After the Generative AI successfully formulates the query, it is executed within GBQ. Assuming the query executes without issues, the resultant data is then sent to the Reasoning Engine, which synthesizes the information into a coherent response. If the query does not meet the criteria at the Audit Layer, or if the Generative AI composes a query that is deemed unsuitable, the process stops, and the system indicates that it is unable to provide an answer. This robust system ensures that only precise and high-quality information is delivered in the response.
