Parabole.ai announced that TRAIN™ 3.0, its MACHINE TEACHING PLATFORM is now available on the Azure Marketplace. Parabole’s unique machine teaching approach eliminates the complexity and manual nature of building domain-specific AI models required to solve complex automation projects within an enterprise. TRAIN™ automatically creates the most appropriate AI models by leveraging a combination of unsupervised and subject matter expert-infused learning, significantly reducing learning cycle time from several months to just a few hours.
Read More: MapsPeople Partners With VenueNext To Create The Future Of Customer Experience
Integrated with Azure, TRAIN™ enables customers to seamlessly mine knowledge from high volumes of unstructured text-based content to build AI models without the need for pre-compiled ontologies or labeled training data, which are historically, the most time-consuming and expensive activities performed in any attempt to build AI systems. For the first time, our customers can create AI models in a fraction of the time and expense without the need for high-quality training data.
Read More: Taking the Sales Approach to Marketing – Part 2
With TRAIN™, Parabole.ai is helping its customers create hundreds of use cases, modeling their businesses to solve complex transformational challenges owned by chief digital, chief information, and chief data officers within large corporations who depend heavily on textual content to execute strategies and make decisions.
“For the first time, the vast knowledge that resides within enterprises, large and small, can be modelled accurately, without months of development time,” said Anthony Sarkis, Head of Strategy at Parabole.ai, “Deploying TRAIN™ and Azure, our customers are realizing the promise of knowledge based digital transformation as a driver of profitability and business reinvention. Our relationship with Microsoft Azure has grown significantly over the past year. We continue to align and accelerate Parabole’s go-to-market program with Microsoft.”
Read More: Looking for the Perfect SalesTech Stack?
