Leverage AI in your Flows with GPT

Leverage AI in your Flows with GPT

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Automate complex, custom data workflows

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At Parabola, we’re focused on helping Operators achieve their highest potential. What makes this possible is cutting down on the manual work required of them each day to keep everything operating as it should.

Operators can achieve much more than that, which is why we’re excited to be seeing them use creative solutions in their Flows, like OpenAI's GPT.

GPT presents a ton of opportunities to leverage the power of AI in your Flows. Operators can use GPT in Parabola to create reliable solutions without having to know anything about code or machine learning. Here are a few of the use cases we are exploring:

Normalize and standardize data

Long-form user-generated data like emails, texts, and documents sent in from vendors contain useful information that is easily readable by humans — not so much by machines.

For that reason, with Parabola alone it’s hard to reliably parse content and extract the right information…enter AI. Large language models like GPT do well at parsing content and summarizing the details that you want to know. Combine this with the power of Parabola, and you can easily normalize and standardize your data in a reliable way.

Categorize data

Leveraging GPT’s ability to extract specific and detailed information builds upon Parabola’s strength in structuring data. With the integration, you can categorize data into practically any category.

For example, you can group email attachments into categories like “Invoices,” “Importer Security Filings,” “Bills of Lading,” etc. Using Parabola with GPT lets you get specific information in a consistent, reliable structure.

Enrich existing data

Using GPT in Parabola even allows you to add on to the data you have with data you need. GPT’s vast access to knowledge allows you to further enrich your data in ways you wouldn’t be able to without AI.

For example, if you have a data set that contains customer first and last names and email addresses, you can pull other information attributable to each customer, like company name, job title, and LinkedIn URL.

Perform sentiment analysis

Enabling the power of AI in Parabola lets you leverage new techniques, like sentiment analysis. GPT in Parabola makes it easier to get a sense of the overall sentiments of your customers.

You can take a list of Amazon reviews, for example, and categorize them by sentiment: positive, negative, or neutral. This is a much faster way to aggregate and understand customer opinions so you can more easily make informed decisions.

We’re just getting started with exploring all of the potential for large language models in Parabola. Currently, we’re working on a native integration that will offer more robust ways to leverage some of these use cases, including attributing dedicated steps in the Flow.

Can’t wait for the native integration? Fill out this form to share a unique use case for Parabola and we’ll put you on a waitlist for early access.

To learn more about how you can currently use GPT in your flows, check out our How-to article:

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