Cognitiva

Cognitiva

The Challenge:

Apply QA best practices to the creation of the Chatbot.

  • The client was an AI consulting firm, looking to balance the portfolio in order to go beyond consulting and to productize the offering.
  • The company decided to create a Chatbot using all regular functionalities so that the client could customize the product via wizards.
  • The expectation was to create a Chatbots at a lower cost to target small and mid size firms.
  • Due to market timing constraints and only a few dedicated developers, the firm decided to engage with Novacomp to include QA into the product to increase usability and product quality.

The Engagement:

Novacomp provided QA personnel with experience on AI.

  • It was a fixed priced 4-month project.
  • The product was released to the market with a strong core that will make features easier to me modified/adjusted.
  • QA and Dev framework was easy to be leveraged due to the effectiveness of the QA function.
  • Novacomp participated in all stages of the Product launch, pre and post deployment.
  • Subsequent enhancements were quickly made due to the speed of the QA service by Novacomp.
  • Novacomp was able to perform QA testing for non-structured information via automation to adapt to the ever-changing AI algorithms.

The Benefit:

    Full engagement in the Chatbot´s Product Release.

    • Novacomp provided a dedicated team to support the product´s launch.
    • Novacomp also provided standard best practices following the Agile methodology within the development process and accelerated the time to market of the Chatbot.
    • The firm was able to create an MVP fairly quickly due to the Agility of the development process and the speed to resolve issues.
    • Having a stand-alone QA team, it reduced the client´s Bias towards the quality testing performed on the ChatBot.

    Key Technologies:

    Sikuli

    Jmeter

    NLP

    Selenium Web Driver

    Eclipse

    Blazemeter

    NLU

    Key Technologies:

    IBM Watson Natural Language Understanding

    IBM Watson Sentiment and Context Analysis

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