These days, the latest buzzword, Generative AI, is on the tip of everyone’s tongues since OpenAI released ChatGPT-3 to the world. Everyone is trying to get on the bandwagon, integrating it into their platform. The consumer insights industry is no different, trying to position themselves as the market leader by announcing their use of Generative AI.

At Revuze, we actually have nothing to announce.

But we have a secret to share with you…

Our customers have already been reaping the benefits of Generative AI for at least four years!

Want to know more about how that’s possible? Then read on.

Generative AI and Large Language Models (LLM)

All AI systems need to be trained. Do you think they know anything on their own?

Here at Revuze, we like to say that AI stands for “Army of Individuals.” That’s because it literally takes an army of data scientists to train the AI system. They provide the AI system with all kinds of training sets until it commands mastery over a subject. Part of the training includes Large Language Models (LLM), which is a subset of natural language processing (NLP). It takes years of training! Consider for a moment that ChatGPT has only been training until 2021. That means there’s already a two-year gap in its training.

Our platform has been training for years, with no end date in sight (it was training on yesterday’s data too!), making it adept at generating topics, assigning sentiment, and computing it all so our users can do the research they need for data-driven decisions. Our algorithms are conducting the training themselves without involvement of data scientists. That means there’s a high barrier to entry for integrating Generative AI into any platform.

Sure, many are integrating ChatGPT into their own products, but that’s not the engine handling Big Data from hundreds of online sources and, more importantly, ensuring data integrity. It’s simply the engine for allowing users to query the system.

Data Integrity

This may go without saying, but you can only make informed decisions if you have quality data in hand. Consider for a moment the number of online retailers around the world  . Immediately, retailers like Amazon, Walmart, Sephora, or Boots come to mind. Think about the sheer quantity of data from online reviews in different languages, making consumer insights a Big Data challenge.

To some degree, data scraping is the easy part. The crux of the problem is cleansing the data. This is where Revuze’s Generative AI truly shines. With years of training under its belt, it knows how to:

• Create a unified taxonomy
• Extract topics
• Deduplicate the data
• Remove irrelevant information
• Merge products across different sources
• And much more

All of the cleansing magic happens under the hood of our platform, thanks to the Generative AI engine. It makes order out of data chaos and analyzes everything to create new data points. 

Given its years of training, it excels at assigning sentiment with proper context. For example, if a consumer mentions the battery life being an hour, it’s hard to derive meaning. It needs to be understood in the product context. If your mobile phone’s battery lasts an hour, the comment would have negative sentiment. On the other hand, if it’s a battery for a drone it would be positive.

This is how Revuze empowers brands to make strategic, data-driven decisions. They trust Revuze because they know our data is accurate.

How to Get Started

In conclusion, Generative AI has become a hot topic, with companies across various industries integrating it into their platforms. While many are just beginning to explore its potential, at Revuze, we have been harnessing the power of Generative AI for consumer insights from online reviews for over four years. It’s massive quantities of data compared to data from surveys or call centers. Our platform’s extensive hands off training has made it adept at generating topics, assigning sentiment, and ensuring data integrity from vast amounts of Big Data. Big Data is great for our system which continues to learn and improve.

If you’re looking to make data-driven decisions based on accurate and cleansed data, we invite you to learn more about how Revuze’s Generative AI can revolutionize your consumer insights.

Florence Broder