IBM Watson Studio is an integrated environment designed for data scientists, application developers, and subject matter experts to collaboratively work on data-driven projects. It provides tools for data preparation, model development, training, and deployment, enabling users to leverage machine learning and AI to derive insights from their data.
About IBM Watson Studio
IBM Watson Studio was launched in 2018 by IBM to provide a comprehensive platform for data science and AI model development. It aimed to streamline the process of data preparation, model building, and deployment, addressing the growing need for advanced analytics and machine learning capabilities in various industries.
Strengths of IBM Watson Studio include its comprehensive toolset for data science, seamless integration with other IBM services, and strong support for collaboration. Weaknesses may involve a steep learning curve and higher costs compared to some alternatives. Competitors include Google AI Platform, Microsoft Azure Machine Learning, and Amazon SageMaker.
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How to hire a IBM Watson Studio expert
An IBM Watson Studio expert must have skills in data science, machine learning, and AI model development. Proficiency in Python and R programming languages is essential. Familiarity with Jupyter Notebooks, SPSS Modeler, and various data preparation tools within Watson Studio is also crucial. Understanding of cloud computing services and experience with IBM Cloud are important for effective deployment and management of models.
*Estimations are based on information from Glassdoor, salary.com and live Howdy data.
USA
$ 224K
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$ 127K
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$ 97K
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