Deep Learning Experimentation IoT Testing 
DataKitchen
APRIL 13, 2021
Testing and Data Observability. We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Testing and Data Observability. Production Monitoring and Development Testing.
Corinium
JUNE 6, 2019
In the long run, we see a steep increase in the proliferation of all types of data due to IoT which will pose both challenges and opportunities. Fractal’s recommendation is to take an incremental, test and learn approach to analytics to fully demonstrate the program value before making larger capital investments.
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