Maximize Your Investment in AutoML Software with Decision Intelligence
Across industries, organizations are investing in AutoML software to automate their machine-learning model development and deployment pipelines. Business applications driven by AI and ML models support forward-looking insights and recommendations.
According to Forrester Research, 61% of data and analytics groups had already implemented or expanded their investments in AutoML solutions. Another 25% planned to implement these solutions by 2023.
But, despite the investment, a report from Dimensional Research indicated that only 4% of companies have succeeded in deploying ML models to a production environment. How can businesses today fully realize the potential of AutoML to support everyday decisions, especially those that need to be made with a moment’s notice?
Access the Case study now to learn more!