Tag: Conversational AI

Want to know the different technologies used in conversational AI of Clinc

Clinc is a leading and innovative company, where the left and right brain coverage to build the unparalleled services and tools in the financial service industry. The team of experts in this Clinc firm are using the patented technology in order to give the best focus on research for their customers. This team has established totally 8 research publications to date and 20 patents in the approval process as pioneers in the conversational artificial intelligence (AI) field.

Conversational AI technologies:

The following are the most commonly used technologies in the development of the conversational AI to offer a variety of financial services.

  • Messy language

There is no problem with messy language because AI from this company learns different speech patterns to recognize the slang of the language and understand the contextual clues. It means your clients can speak to AI as they would normally speak to any other persona, natural, messy, and conversational.

  • Conversational healing

The technology of Clinc enables your clients to change the details they have already given or are looking at a particular point in the conversation.

Clinc conversational AI

  • Context retention

Whether your clients are picking up where they left off the conversational or starting a new one, the technology given by this company retains the history by also ensuring them feel understood and remembered.

  • Slot mapping

With slot mapping, the organizations can ensure your clients have a wonderful experience by ensuring they are completely understood the first time.

  • Data curation

Data is the significant factor to conversational AI but not all types of data will be perfect. The data curation tools given at Clinc platform make it very easy to clean up any unpredictable details to make a particular solution is production ready.

  • Crowd sourcing

This technology helps to source data with their patented crowd sourcing built-in tool in order to rapidly make the new agent capabilities and reduce the model readiness.

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Are You an IT Fresher and Looking For A Job? Maybe Here Is the Place for You!

Technology is now increasingly advanced, marked by the proliferation of IT-based companies around the world. These companies are believed to be very promising for the future so that people are competing to work there. There are also more IT graduates because people are very enthusiastic about studying IT. Most of the recent graduates are confused about finding a job, especially at this age. For that, Clinc is an alternative for those who are looking for jobs related to IT. Clinc is a startup company that develops conversational AI across the financial sector in the United States. As an AI startup, Clinc facilitates its users with a human in the room virtual assistant to freely carry on conversations and get an exciting banking experience. That is why Clinc needs many workers to develop its startup. If you need an IT job, you can try applying for a job at Clinc.

What types of jobs are offered here?

As an IT-based company, Clinc has almost the same job positions at other companies. Here, job seekers can find various jobs that match good salaries. Fresh graduates can try to send their application to Clinc because there are many suitable jobs such as software engineer, software developer, data scientist, and many more. The following is a breakdown of some job descriptions for some of the jobs in Clinc:

AI banking experience

  • Software engineer: A software engineer should be responsible for analyzing, engineering, compiling specifications, implementing, and validating a software system design to answer a problem.
  • UX / UI designer: The UX / UI designer’s task is to make an application display or website look eyecatching and easy to use by the user. UX / UI designers generally design web-based interfaces such as websites, applications, and games. The UX / UI designer must have strong coding skills and be experienced in today’s Web standards, including best practices for usability and accessibility.
  • Data scientists: Data scientists are tasked with analyzing various kinds of large amounts of data (big data) accumulated in companies. This profession relies on data analysis skills such as combining data from multiple sources and ensuring dataset consistency, choosing factors or algorithms that affect prediction results, and making infographics easier for decision-makers to understand data.
  • Software developer: Software developer has the task of developing, creating, and modifying computer application software or programs.
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