Data Platform DevOps ETL 
AWS Machine Learning Blog
FEBRUARY 21, 2025
Steep learning curve for data scientists: Many of Rockets data scientists did not have experience with Spark, which had a more nuanced programming model compared to other popular ML solutions like scikit-learn. This created a challenge for data scientists to become productive. Analytic data is stored in Amazon Redshift.
AWS Machine Learning Blog
MARCH 5, 2025
About the authors Samantha Stuart is a Data Scientist with AWS Professional Services, and has delivered for customers across generative AI, MLOps, and ETL engagements. He has touched on most aspects of these projects, from infrastructure and DevOps to software development and AI/ML.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
ODSC - Open Data Science
OCTOBER 9, 2024
AI for DevOps and CI/CD: Streamlining the Pipeline Continuous Integration and Continuous Delivery (CI/CD) are essential components of modern software development, and AI is now helping to optimize this process. In the world of DevOps, AI can help monitor infrastructure, analyze logs, and detect performance bottlenecks in real-time.
Marktechpost
JULY 17, 2023
IBM merged the critical capabilities of the vendor into its more contemporary Watson Studio running on the IBM Cloud Pak for Data platform as it continues to innovate. The platform makes collaborative data science better for corporate users and simplifies predictive analytics for professional data scientists.
The MLOps Blog
AUGUST 3, 2023
Stefan is a software engineer, data scientist, and has been doing work as an ML engineer. He also ran the data platform in his previous company and is also co-creator of open-source framework, Hamilton. As you’ve been running the ML data platform team, how do you do that? Stefan: Yeah. Thanks for having me.
Expert insights. Personalized for you.
72 
Let's personalize your content