The State of Applied Machine Learning 2023 An Report

By The State of Applied Machine Learning 2023 An Report

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Table of Contents

Introduction
Key Findings
Methodology
A Deeper Dive Into Survey Results
Respondent demographics
Analysis
Conclusion
Additional Resources

Summary

The document provides insights into the challenges and opportunities in applied Machine Learning. It highlights the importance of improving applied ML capabilities and the trends shaping the future of ML. Companies are increasingly adopting applied ML for various use cases including customer analytics, personalized recommendations, and fraud detection. The report discusses real-time ML, applied ML use cases, challenges faced in deploying new models, and the investment in MLOps stack. It also includes recommendations based on survey results and a deeper dive into the demographics of the respondents.