AWS Machine Learning

JANUARY 26, 2024

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

Best practices 122

Best practices Government Engineering Accountability 122

AWS Machine Learning

AUGUST 2, 2023

We demonstrate CDE using simple examples and provide a step-by-step guide for you to experience CDE in an Amazon Kendra index in your own AWS account. About the Authors Charalampos Grouzakis is a Data Scientist within AWS Professional Services. Her skills and areas of expertise include data science, machine learning, and big data.

Enterprise 71

Enterprise Healthcare APIs Big data 71

AWS Machine Learning

OCTOBER 6, 2023

User preference alignment – By taking into account a user profile that signifies user preferences, potential recommendations are better positioned to identify content characteristics and features that resonate with target users. He supports strategic customers with AI/ML best practices cross many industries.

Personalization 110

Personalization Engineering Construction Transportation 110

AWS Machine Learning

SEPTEMBER 9, 2022

Amazon Cognito for user authentication with Transport Layer Security (TLS). Access to AWS services from Katib and from pipeline pods using the AWS IAM Roles for Service Accounts (IRSA) integration with Kubeflow Profiles. Amazon CloudWatch for persistent log management. Amazon S3 for an easy-to-use pipeline artifacts store.

Engineering 75

Engineering Healthcare APIs Scripts 75