Precisely has announced new AI agents for the Data Integrity Suite. They will work with the Gio AI Assistant and are focused on data quality, enrichment and location intelligence. The AI agents enable users to identify and automate labour-intensive workloads. It will make it easier to improve the quality and trust in data, which is especially important for those organisations using their data in other AI initiatives.
Ulf Viney, Executive Vice President, Engineering, Eupport & Operations at Precisely, said, “As organisations move from AI experimentation to enterprise-scale deployment, foundational data work can no longer be manual or reactive.
“With these new AI agents in the Precisely Data Integrity Suite, we are applying AI to automate and elevate the data integrity process itself by combining intelligent automation with the transparency and governance our customers require.”
Precisely using AI agents to boost AI readiness
This announcement further embeds AI into Precisely’s products. Importantly, it also shows how AI is the key to making data better for AI usage. Over the last three years, Precisely has commissioned reports that show businesses are concerned about whether their data is AI-ready. A major part of that is about poor quality and a lack of effective enrichment.
One of the challenges for organisations is that improving data quality, including data enrichment, is seen as a specialised task. That work has traditionally fallen to data analysts and data scientists. Making it that specialised brings out other issues. The volume of data, a shortage of qualified individuals, and the salary expectations have impacted projects.
To get around this, Precisely has been embedding more and more AI capabilities into its software over the last 18 months. This new group of agents can be used by anyone because they have a conversational interface. That will allow any user to do their own data enrichment using the AI agents by selecting datasets from a catalogue.
Going beyond enrichment
For most project teams, data enrichment is their key focus. Marketing teams want to know who they are targeting and how. Sales teams want details on each prospect to maximise their revenue. Support teams want to know as much as possible about a customer to prioritise the support they offer. For public authorities, data enrichment allows them to focus their spending on service delivery.
These new AI agents will do more than enrichment. In the announcement, Precisely called out four capabilities:
- Rule recommendation and creation: Identify gaps and generate data quality rules based on patterns, structure, metadata, and user input.
- Normalisation and standardisation: Detect and harmonise inconsistent data across sources without manual rule writing.
- Address verification and geocoding: Verify and geocode address data for consistent, trustworthy location information.
- Data enrichment: Apply relevant attributes to your data to add real-world context and improve completeness.
Enterprise Times: What does this mean?
Much of the AI focus is on what it can do with your data once you have it in an LLM. The problem is that poor-quality data in the LLM produces little of value. Worse, it runs the risk of delivering garbage that will impact how the business runs. Precisely, survey respondents have admitted to that concern year after year.
What this does is use AI at the start of the process. It lets the agents speed up the improvement of data quality and enrichment using a conversational interface. For data teams, that means they can focus on more complex data problems and offload this work. For the business, it means that they can improve their time-to-market for new offerings because they are no longer waiting on data teams.
The question now is, what will Precisely release next? Where does it see a need and value for more AI agents?
