Category: Technical How-to

Building, training, and deploying machine learning models from scratch can be a time-consuming and costly endeavor for some customers. Moreover, once deployed to production, machine learning models need to be continuously monitored for deviations in model and data quality. To help you expedite model deployment and implement a model monitoring solution, you can integrate pre-trained […]

Along with adopting and managing a multi-account structure, customers must also manage user authentication and authorization. Customers who use a multi-account structure governed by AWS Control Tower require a centralized system to manage user authentication and authorization. AWS Control Tower enables customers to manage and govern a multi-account structure. After you have launched AWS Control […]

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 […]

One of the emerging themes of the post-Web 2.0 world is decentralization, and more internet users are seeking greater control over their activities and data. Blockchain is a technology that enables the removal of traditional intermediaries from a vast array of applications. Blockchains provide a tamper-proof history of records and transactions in a series of […]