Verve Group Google Cloud Vertex AI benefits

Verve Group using Google cloud

Verve Group is an ecosystem that combines demand and supply technologies, as well as data, media, and technology, in order to bring results and growth to both advertisers and publishers, regardless of the screen or location, as well as regardless of who, what, or where a client may be. The first stage in assisting in helping to surface relevant, high-quality material to consumers is the classification of huge volumes of this unstructured data at scale, and natural language processing (NLP) comes into play here.

Verve Group utilizes the Natural Language Processing Application Programming Interface (NLP API) offered by Google Cloud’s Vertex AI in order to get data for the purpose of conducting an internal content classification quality verification and as an extra source for the construction of categorization models.

Verve Group powers classification through an updated and expanded training data set with over 1,000 labels and support for 11 languages (Chinese, French, German, Italian, Japanese, Korean, Portuguese, Russian, Spanish, and Dutch join the already-available English). This is made possible by leveraging the NLP API’s Content Classification models, which are now generally available and offer Google’s latest large language model (LLM) technology.

Since day one, Verve Group has been using Google Cloud’s Natural Language Processing Application Programming Interface (NLP API) due to both the simplicity of installation and the quality when compared to other NLP solutions on the market. The NLP API “allows for fast adoption and implementation, from test models all the way up to production,” according to Rami Alanko, the General Manager of Verve Group. The documentation for the NLP API is “comprehensive and self-explanatory,” and this makes it possible for users to quickly adopt and use the API.

Utilizing the Natural Language Processing Application Programming Interface (NLP API) has enabled Verve Group’s clients to swiftly identify and categorize fresh information, which has aided the company’s speedy go-to-market operations. “Even though we are operating on a global scale with tens of different regions and languages, we have still been able to maintain high quality for our product and high retention rates with our clients,” Rami said.

“When optimized with content quality measurements enabled by the API, we achieved an 82% improvement in CTR for a recent client case.” Because of the quality of our categorization, we were able to reduce the risk of brand safety for one of our other clients from 4% to 0.16%. Along with the new features of Google NLP, I can only see this trend continuing to gain momentum and becoming much more widespread.

Verve Group is thrilled to further extend their NLP use cases by using the new Content Classification models, which have already assisted them in expanding their classification inventory, improving the quality and performance of their quality verification for clients, and unlocking new use cases for NLP.

Verve Group’s NLP use cases have already been expanded thanks to the new Content Classification models. According to Rami, “Using Google NLP as a verification partner resulted in a 41% increase in the accuracy of our classification model.” 

In addition, Verve Group is now using the Application Programming Interface (API) in order to do metadata analysis on a large image database. “Using the categorization system that we have, we go through the database and process the information about the pictures.

Because of the use of this strategy, we are now in a position to classify photographs in a way that is trustworthy and consistent in comparison to our standard categorization. As Rami said, we are able to deliver customer participation that is really close to being in real-time because we leverage essentially the same data flow for both our runtime in-app textual content analysis and our in-app textual runtime analysis.

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