Category: Learning Levels

Capital markets firms use vast amounts of historical and streaming market data to perform real-time analytics. They also use data to inform decision-making, from projecting asset-pricing movement and fund values to calculating risk assessments. However, traditional on-premises relational databases and data management systems can fall short on delivering the functionality, agility, speed, and cost efficiency […]

AWS users occasionally need to perform analysis on data sources containing private or sensitive inputs. Inpher’s XOR Secret Computing Platform, available in AWS Marketplace, enables data scientists to train and run machine learning models while maintaining data privacy and without trading utility. Data analysis and machine learning performed by XOR can improve model performance with […]

In this blog post, I will share the key takeaways from the AWS webinar, How to support modernization with Cloud PACS through AWS Marketplace. I will show how healthcare organizations are using cloud-native picture archiving and communication system (PACS) solutions and how AWS Marketplace can help accelerate your time to value with PACS solutions. AWS […]

Customers in AWS GovCloud (US) Regions often need to control subscriptions and manage access to products available in AWS Marketplace. AWS Private Marketplace enables organizations to build and manage catalogs of approved products in AWS Marketplace that comply with internal policies and requirements in terms of security and compliance. AWS Private Marketplace also provides centralized […]

This blog post was written by Kanishk Mahajan, ISV Solutions Architecture Lead at AWS and guest author Maya Neelakandhan, Head of Customer Success at CloudKnox. Introduction Permissions management in AWS empowers security and cloud infrastructure teams to protect your cloud resources from misuse of identity permissions. Cloud security requires continuous enforcement of least-privilege policies across […]

Enterprises have rapidly adopted Kubernetes. Yet for most teams, Kubernetes runtime security remains a challenge. Many enterprises use managed Kubernetes services such as Amazon Elastic Kubernetes Service (Amazon EKS) and believe that AWS is fully responsible for the security of their Kubernetes deployment. In reality, AWS is accountable only for the master node. The enterprise […]

New deep-learning model architectures push what’s possible in the field of natural language processing (NLP). NLP is the study of methods of processing and analysis of human language data. In machine learning (ML), transfer learning takes model parameters learned on one task and uses them as a basis for another task with some additional fine-tuning. […]

Pre-trained machine learning (ML) models available in AWS Marketplace take care of the heavy lifting, helping you deliver Artificial Intelligence (AI)- and ML-powered features faster and at a lower cost. However, just like all ML models, sometimes ML model predictions are just not confident enough. You want a pair of human eyes to confirm the […]

This is the second article of a two-part series. Part 1 covered data preparation for machine learning (ML) by using Trifacta. Part 2 covers training the model using Amazon SageMaker Autopilot and operationalizing the workflow. Background ML provides value to business by offering accurate insights to guide business decisions. Gathering insights from ML should be […]

This is the first blog post of a two-part series. Part 1 covers data preparation for machine learning (ML) using Trifacta, available in AWS Marketplace. Part 2, Simplifying machine learning operations with Trifacta and Amazon SageMaker, covers training the model using Amazon SageMaker Autopilot and operationalizing the workflow. In the past decade, advancements in machine […]