This means software engineers need to work with data scientists, adding complexity to their projects. Machine Learning Ops, or MLOps, integrates the core principles of DevOps with machine learning.

The data lakehouse architecture is leading this change—particularly for machine learning (ML) and advanced analytics—by combining the strengths of both data lakes and data warehouses.

Organizations are turning to machine learning because of the return on investment. The ones doing it in real-time are topping the charts.

Real-time analysis of remote video feeds is rapidly improving thanks to AI, increasing the accuracy of remote equipment and facility monitoring.