AI is changing the playing field for businesses worldwide. The rise of large language models like OpenAI’s GPT is awe-inspiring, a bit otherworldly, and we believe it’s the beginning of enabling Operators to do their best work, faster.
To date, Parabola has thrived in the hands of Operators that work with business data every day. Parabola Flows empower non-technical teams to make quick action with structured data from multiple sources — like spreadsheets and databases — driving efficiency and reducing redundancy — without the need for engineering.
But we know that everyday data is often messy, unstructured, or variable.
Imagine if you could automatically use the interpretive power of AI to decipher ambiguous and unstructured data — like PDFs, text messages, emails — then standardize, enrich, and categorize it for you…
Today, we’re introducing AI steps to Parabola, powered by GPT.
The power of AI is unleashed within the friendly guardrails of Parabola’s drag-and-drop interface. Beneath the hood, each step is powered by a series of finely tuned requests to GPT that optimize for accurate and repeatable results. It’s exceptionally accessible and extraordinarily capable.
The new AI steps will help you extract standardized data from messy inputs, categorize data into consistent buckets, and experiment with generating new columns based on existing entries.
Categorize with AI
Categorize with AI enables you to leverage GPT to evaluate incoming data and then assign categories to each row. Parabola will create a new column and assign your categories there.
For example:
- Shopify stores can process a list of product names and categorize them by department — like clothing, home goods, electronics, grocery.
- Marketers can categorize the email addresses in a user database by type — like personal, school, work, and government emails.
Extract with AI
Extract with AI uses GPT to evaluate the data that you input and extract the specific pieces of information that you ask for. All you have to do is name the new columns in Parabola and the AI will extract the relevant data in a consistently formatted way.
This is a massive improvement for anyone working with PDFs, messy excel files, text from the body of emails, and other unstructured data sources. It’s pretty incredible what’s possible with just a single step.
For example:
- Operations teams can process inconsistently formatted invoices and extract the amount, due date, sender information, and even line items from each into a consistently formatted table.
- Marketing teams can pull in a list of customer survey responses and extract key fields they’d like to compare — like product ordered, competitors evaluated, and whether or not they’d recommend.
Experiment with AI
Experiment with AI lets you write in plain text how you’d like to change your existing data or even generate entirely new columns. It’s the most flexible (and fun!) AI step.
For example:
- Ecommerce teams can enrich product information management systems by pulling data about each product and generating unique product descriptions based on the data.
- Ecommerce teams can also ask AI to identify Amazon keywords with the highest rank increases within a given time period and auto-generate suggestions for similar keywords.
- Sales teams can pull a list of company names and generate email domains for each.
Put AI to work
Our mission at Parabola is to democratize the ability to access and take action on data by empowering non-technical teams with technical tools. Now with the power of highly accessible and immensely capable AI, we can’t wait to see what you build.
To learn more about how AI in Parabola can help you put your data to work, schedule some time with our team:
