IBM Watson OpenScale is a cloud-based AI service that provides tools for monitoring and managing AI models. It offers capabilities for tracking model performance, detecting and mitigating bias, ensuring transparency, and maintaining compliance with regulatory standards.
About IBM Watson OpenScale
IBM Watson OpenScale was launched by IBM in 2018 to address the growing need for transparency, fairness, and accountability in AI models. It was developed to help businesses monitor and manage their AI deployments, ensuring that models performed as expected and adhered to ethical standards.
Strengths of IBM Watson OpenScale include robust monitoring capabilities, bias detection, and compliance support. Weaknesses may involve complexity and cost for smaller businesses. Competitors include Google AI Platform, Microsoft Azure Machine Learning, and Amazon SageMaker.
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How to hire a IBM Watson OpenScale expert
An IBM Watson OpenScale expert must have skills in AI model deployment, machine learning, data analysis, and Python programming. Knowledge of cloud computing platforms, experience with RESTful APIs, and understanding of bias detection and model fairness are also essential.
*Estimations are based on information from Glassdoor, salary.com and live Howdy data.
USA
$ 224K
Employer Cost
$ 127K
Employer Cost
$ 97K
Benefits + Taxes + Fees
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