DataKitchen
NOVEMBER 28, 2022
Production expectations reduce embarrassing errors to zero, including data and tool testing. Development data and tool testing increase the delivery rate and lower the risk of deploying new analytic insights. Read the white paper to learn more. Read the white paper to learn more.
Smarten
AUGUST 2, 2017
By providing sophisticated analytical features and algorithms in an easy-to-use self-serve environment, the enterprise enables business users to perform data preparation and test theories and hypotheses and prototype on their own. Business users can control the data elements, the volume and the timing.
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Smarten
JUNE 17, 2022
After completion of the testing procedure, the certificate is provided to show that all requirements were met. CERT-IN also issues advisories, guidelines and white papers for security practices.
DataKitchen
FEBRUARY 21, 2023
Release New Data Engineering Work Often With Low Risk: “Testing and release processes are heavily manual tasks… automate these processes.” Still, there is little testing and no consistent deployment processes, and everyone is very busy with ‘keeping the lights on’ by constantly chasing down errors in production systems.
Smart Data Collective
JANUARY 27, 2021
Interestingly, nearly 200 hedge funds began specializing in cryptocurrency trading in the 12 months before that white paper was published. You need to carefully organize the data so that it can be tested and trained. You can begin evaluating the results and possibly present them in a visual format.
DataRobot
OCTOBER 20, 2021
Data literacy is the ability to understand data science and AI applications critically using basic data visualization, communication, and reasoning skills. WHITE PAPER. It is a key component of developing responsible AI, and promotes trust not only in AI concepts but also in individual AI models. What Is Data Literacy?
Decision Management Solutions
JUNE 24, 2021
Leaning on this definition, we can define a Chain of Responsibility as a process for maintaining and documenting decision-making, showing who defined, modeled, trained, tested, and validated the decision-making approach that resulted in a specific decision. There are established protocols and procedures for this process.
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