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.

Data Science 69

Data Science Data Scientist Data Ingestion DevOps 69

IBM Journey to AI blog

SEPTEMBER 20, 2023

Large language models (LLMs) have taken the field of AI by storm. Scale and accelerate the impact of AI There are several steps to building and deploying a foundational model (FM). brings new generative AI capabilities—powered by FMs and traditional machine learning (ML)—into a powerful studio spanning the AI lifecycle.

Large Language Models 238

Large Language Models DevOps Data Science AI Modeling 238

AWS Machine Learning Blog

JULY 11, 2024

In this blog post, we explore how Agents for Amazon Bedrock can be used to generate customized, organization standards-compliant IaC scripts directly from uploaded architecture diagrams. Select the KB and in the Data source section, choose Sync to begin data ingestion. Double-check all entered information for accuracy.

Data Ingestion 130

Data Ingestion DevOps Prompt Engineer Prompt Engineering 130

AWS Machine Learning Blog

MAY 7, 2024

If you prefer to generate post call recording summaries with Amazon Bedrock rather than Amazon SageMaker, checkout this Bedrock sample solution. The service allows for simple audio data ingestion, easy-to-read transcript creation, and accuracy improvement through custom vocabularies.

Automation 126

Automation Auto-complete DevOps UX Design 126

AWS Machine Learning Blog

FEBRUARY 27, 2024

The model will be approved by designated data scientists to deploy the model for use in production. For production environments, data ingestion and trigger mechanisms are managed via a primary Airflow orchestration. Pavel Maslov is a Senior DevOps and ML engineer in the Analytic Platforms team.

Machine Learning 132

Machine Learning DevOps Data Scientist Data Quality 132

AWS Machine Learning Blog

FEBRUARY 7, 2025

For options 2, 3, and 4, the SageMaker Projects Portfolio provides project templates to run ML experiment pipelines, steps including data ingestion, model training, and registering the model in the model registry. Alberto Menendez is a DevOps Consultant in Professional Services at AWS.

ML 63

ML Data Scientist ML Engineer Data Science 63

AWS Machine Learning Blog

NOVEMBER 7, 2024

When inference data is ingested on Amazon S3, EventBridge automatically runs the inference pipeline. This automated workflow streamlines the entire process, from data ingestion to inference, reducing manual interventions and minimizing the risk of errors. He is also a cycling enthusiast.

ML 104

ML Machine Learning Automation Data Scientist 104