Amazon Web Services FeedAWS Security Hub now supports bidirectional integration with ServiceNow ITSM AWS Security Hub now supports a bidirectional integration with ServiceNow ITSM, making it easier for Security Hub users to automatically create and update tickets in ServiceNow ITSM from Security Hub findings and ensure that updates to those tickets are synced with the…
Amazon Web Services FeedAmazon EC2 announces Spot Blueprints, an infrastructure code template generator to get started with EC2 Spot Instances Spot Blueprints is an infrastructure code template generator that makes it easy to start using Spot Instances. It saves time in learning to use Spot and to start leveraging the steep savings and scale that…
Amazon Web Services FeedHow to Build and Deploy Amazon SageMaker Models in Dataiku Collaboratively By Sunny Porinju, Sr. Product Marketing Manager at Dataiku Organizations often need business analysts and citizen data scientists to work with data scientists to create machine learning (ML) models, but they struggle to provide a common ground for collaboration. Newly enriched…
Amazon Web Services FeedBMC Launches BMC Helix Control-M on AWS with Support from AWS SaaS Factory By Jon Christofaris, Sr. Practice Lead, AWS SaaS Factory The AWS SaaS Factory program was launched at re:Invent in 2017, and provides AWS Partners with resources, guidance, and expertise to accelerate and optimize their software-as-a-service (SaaS) launches on Amazon…
Amazon Web Services FeedDetecting sensitive data in DynamoDB with Macie Amazon Macie is a fully managed data security and data privacy service that uses machine learning and pattern matching to discover and protect your sensitive data in Amazon Web Services (AWS). It gives you the ability to automatically scan for sensitive data and get an…
Amazon Web Services FeedExploratory data analysis, feature engineering, and operationalizing your data flow into your ML pipeline with Amazon SageMaker Data Wrangler According to The State of Data Science 2020 survey, data management, exploratory data analysis (EDA), feature selection, and feature engineering accounts for more than 66% of a data scientist’s time (see the following…