• #Data & Insights
    White
    Paper

    Increase Transparency & Acceptance in AI with Explainable AI

    A White Paper on Explainable AI

    Abstract When bringing AI models into production, a business must first establish trust and confidence. A company may adopt a responsible approach to AI development with the help of Explainable AI or XAI. An AI model, its anticipated effect, and any potential biases are all described through explainable AI. This white paper sheds light on why Explainable AI is being hailed as an emerging field in ML and aims to address how black box decisions of AI systems are made. It will also discuss the industry-specific use cases of explainable AI and its other benefits in making AI more dependable and trustworthy.

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  • #Data & Insights
    White
    Paper

    Data Integrity Assurance for Digital Transformation

    A Cigniti-Tricentis Joint Thought Leadership Initiative

    Abstract Testing data integrity is essential to ensure that the quality of data is accurate and it functions as expected. With automated testing, enterprises can easily minimize downtime, improve processes, and use data to make informed decisions. Read this this joint white paper by Cigniti & Tricentis to know how data integrity assurance is helping you win at digital transformation.

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