“ModelOps refers to the operationalization of all AI models and includes MLOps that deals with the operationalization of ML models.”
Gartner, “Use Gartner’s 3-Stage MLOps Framework to Successfully Operationalize Machine Learning Projects”, July 2, 2020, Shubhangi Vashisth, Erick Brethenoux, Farhan Choudhary, Jim Hare
Despite the growing number of organizations investing in AI, data science and machine learning, many still struggle to transform their investment into real business value.
Independent Research Firm Corinium Intelligence conducted the first-ever State of ModelOps, surveying 100 AI-Focused Executives from Top Global financial services companies in North America and Europe, including Charles Schwab, Citigroup, Morgan Stanley, American Express and JPMorgan Chase.
The survey consisted of 19 questions about their organizations’ AI maturity and ModelOps capabilities, as well as the obstacles to model operationalization facing their companies and where they’re investing to overcome them.
Findings were then combined with commentary from seven industry experts to put these unique insights into the state of enterprise model operationalization into context.
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