Glen Knight

NYC Based IT Professional

Machine Learning-Powered Amazon Connect, Now With Call Summarization

At AWS our mission is to make machine learning (ML) accessible to data scientists, developers, and business users. To help businesses easily leverage the power of ML, we create purpose-built solutions that embed ML and deep learning technologies directly into a business process to address real customer needs, rather than leaving companies to sort it […]

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New for AWS Control Tower – Region Deny and Guardrails to Help You Meet Data Residency Requirements

Many customers, such as those in highly regulated industries and the public sector, want to have control over where their data is stored and processed. AWS already offers many tools and features to comply with local laws and regulations, but we want to provide a simplified way to translate data residency requirements into controls that […]

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New – AWS Outposts Servers in Two Form Factors

AWS Outposts gives you on-premises compute and storage that is monitored and managed by AWS, and controlled by the same, familiar AWS APIs. You may already know about the AWS Outposts rack, which occupies a full 42U rack. Last year I told you that we were working on new sizes of Outposts suitable for locations […]

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Announcing Amazon SageMaker Canvas – a Visual, No Code Machine Learning Capability for Business Analysts

As an organization facing business problems and dealing with data on a daily basis, the ability to build systems that can predict business outcomes becomes very important. This ability lets you solve problems and move faster by automating slow processes and embedding intelligence in your IT systems. But how do you make sure that all […]

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Improved, Automated Vulnerability Management for Cloud Workloads with a New Amazon Inspector

Amazon Inspector is a service used by organizations of all sizes to automate security assessment and management at scale. Amazon Inspector helps organizations meet security and compliance requirements for workloads deployed to AWS, scanning for unintended network exposure, software vulnerabilities, and deviations from application security best practice. Since the original launch of Amazon Inspector in […]

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Announcing AWS Well-Architected Custom Lenses: Extend the Well-Architected Framework with Your Internal Best Practices

We launched the AWS Well-Architected Framework back in 2015 to help you review workloads against architectural best practices, and across pillars such as operational excellence, security, reliability, performance efficiency, and cost optimization. In 2017, we extended the framework with the concept of “lenses” to optimize specific workload types such as the Serverless Lens, the SaaS […]

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Announcing Pull Through Cache Repositories for Amazon Elastic Container Registry

Organizations, development teams, and individual developers who have chosen to use containers to host their applications may prefer, or perhaps are required, to source all images from Amazon Elastic Container Registry to take advantage of its high availability and security. To satisfy those requirements, customers have needed to take on the burden of manually pulling […]

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Introducing Amazon Braket Hybrid Jobs – Set Up, Monitor, and Efficiently Run Hybrid Quantum-Classical Workloads

I find quantum computing fascinating! At its simplest level, it extends the concept of bits, that have 0 or 1 values, with quantum bits, or qubits, that can have a combination of two different (quantum) states. Two characteristics make qubits really interesting: When you look at the value of a qubit, you get only one […]

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New – Amazon EC2 M6a Instances Powered By 3rd Gen AMD EPYC Processors

AWS and AMD have collaborated to give customers more choice and value in cloud computing, starting with the first generation AMD EPYC processors in 2018 such as M5a/R5a, M5ad/R5ad, and T3a instances. In 2020, we expanded the second generation AMD EPYC processors to include C5a/C5ad instances and recently G4ad instances, combining the power of both […]

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New – AWS Proton Supports Terraform and Git Repositories to Manage Templates

Today we are announcing the launch of two features for AWS Proton. First, the most requested one in the AWS Proton open roadmap, to define and provision infrastructure using Terraform. Second, the capability to manage AWS Proton templates directly from Git repositories. AWS Proton is a fully managed application delivery service for containers and serverless […]

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