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Chatbots and virtual assistants aren’t new, but they are often limited in what kinds of questions they can answer, or tasks they can manage. CloudFactory helps companies train their customer service algorithms to be more robust and conversational.
Businesses of all kinds need to scale their ability to handle customer requests. And the ability to handle requests at all hours is becoming even more important. Robust, well-trained chatbots and virtual assistants can support customer service functions by handling a variety of basic queries, minimizing the number of requests that need to be managed by staff members.
True Lark offers an AI-driven solution that can be trained to answer questions and make appointments 24/7. The solution is a virtual business assistant known as Sasha. The company has a goal of expanding the kinds of questions chatbots can answer and tasks they can manage before needing to kick the inquiry to a live person.
It’s hard for a company at our scale and stage to put resources into a task like this. Especially because there is churn in that workforce. People leave because it is repetitive and hard to keep them motivated, And so it is much easier with CloudFactory.
Srivatsan Laxman
CEO, True Lark
Questions about training data or want to learn how CloudFactory can help lighten your team’s load?
Our managed teams have served hundreds of clients across use cases that range from simple to complex.
Our proven processes deliver quality data quickly and are designed to scale and change along with your needs.
Flexible contract terms and pricing help you to get started quickly and to scale up and down as needed with no lock-in.
In this article, we’ll discuss what makes NLP development difficult, who’s doing it well, and how you can design your workforce to scale high-quality data processing for NLP.
In this article, we'll share lessons learned over 10 years of helping our clients build high-quality datasets for NLP and other machine learning applications.
Ibotta found the people and technology to scale a data-verification process during the busiest retail season of the year.
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