Summary of AWS blogs for the week of Monday, Oct 30

In the week of Mon Oct 30 2023, AWS published 104 blog posts – here is an overview of what happened.

Topics Covered

Desktop and Application Streaming

Optimize Remote and Hybrid Work with Amazon AppStream 2.0 and Amazon WorkSpaces Web

To support the modern workforce, organizations need to enable remote and hybrid work for the long term. With Amazon AppStream 2.0 and Amazon WorkSpaces Web, organizations can give end users access to their desktops and applications from anywhere, using any device, while keeping costs low. At re:Invent 2023 in Las Vegas, you can learn more about how to best optimize application streaming costs.

SaaS Security with Amazon WorkSpaces Web

Organizations today must be ready for the flexible and agile work environments that are becoming more popular. Business professionals expect instant productivity, regardless of their time or location. They also need best of breed applications as well as secure access. Amazon WorkSpaces Web offers organizations the opportunity to extend their on-premise environment and provide secure access to applications and data over the internet.

Automating Management of Amazon WorkSpaces and Amazon AppStream 2.0

Automating key processes is essential for managing Amazon WorkSpaces and Amazon AppStream 2.0 effectively at scale. This builders’ session at re:Invent 2023 in Las Vegas will provide participants with the knowledge and skills to use scripts and other workflows to manage WorkSpaces and AppStream 2.0. You can also learn to overcome the common challenges associated with these solutions.

At Cloud2, we are dedicated to helping organizations in their journey with Amazon AppStream 2.0 and Amazon WorkSpaces Web. With our managed services, you can ensure that your organization can manage and automate Amazon WorkSpaces and AppStream 2.0 effectively. Our professional services give you the guidance and support to make the most of the scalability, security, and productivity that come with these solutions. Contact us to learn more.

Read the full blog posts from AWS

Official Machine Learning Blog of Amazon Web Services

Amazon Web Services and Machine Learning: A Summary

Bundesliga Match Facts Shot Speed – Who fires the hardest shots in the Bundesliga?

Soccer shots that leave spectators in awe are often characterized by incredible power and speed. As it turns out, Amazon Web Services (AWS) has been using its machine learning (ML) technology to measure just how powerful those shots are. AWS used its ML technology to analyze data generated by the Bundesliga, and build models to predict shot speed. This model was then applied to the data from the prior season, as well as the current season, to track shot speed and other relevant metrics.

Deploy ML models built in Amazon SageMaker Canvas to Amazon SageMaker real-time endpoints

Amazon SageMaker Canvas now supports deploying machine learning (ML) models to real-time inferencing endpoints. This makes it easier for analysts and citizen data scientists to generate accurate ML predictions for their business needs and take ML models to production, allowing businesses to take action based on ML-powered insights. Using Amazon SageMaker, Cloud2 can help businesses deploy their ML models to production.

Develop generative AI applications to improve teaching and learning experiences

Generative AI models, in particular large language models (LLMs), have been used to improve teaching and learning experiences. They have enabled AI to have a greater impact on education, speeding up the process of integrating AI into the classroom. With the help of Amazon SageMaker JumpStart, Cloud2 can help businesses develop generative AI applications and incorporate them into their curriculum.

Dialogue-guided visual language processing with Amazon SageMaker JumpStart

Visual language processing (VLP) is a key part of generative AI, driving advancements in multimodal learning. By using large language models (LLMs), contrastive language-image pre-training (CLIP), and multimodality data, visual language models (VLMs) are able to perform tasks such as image captioning and question answering with greater accuracy. Amazon SageMaker JumpStart can help businesses build VLP models and leverage them for their needs.

How Reveal’s Logikcull used Amazon Comprehend to detect and redact PII from legal documents at scale

Personally identifiable information (PII) is sensitive data present in emails, videos, PDFs, and more. To protect this data, companies need to detect and redact PII from documents. Reveal’s Logikcull used Amazon Comprehend to accomplish this process at scale, automatically detecting and redacting PII from documents. With the help of Amazon Comprehend, Cloud2 can help businesses detect and redact PII from their documents.

Schneider Electric leverages Retrieval Augmented LLMs on SageMaker to ensure real-time updates in their ERP systems

Schneider Electric leveraged Retrieval Augmented LLMs on SageMaker to ensure real-time updates in their ERP systems. ERP systems are used to store and manage data from all aspects of the business, and if any data changes, it must be updated in the ERP system. By leveraging Retrieval Augmented LLMs on SageMaker, Schneider Electric was able to ensure that their ERP system was always up to date. Cloud2 can provide services to help businesses similarly leverage Retrieval Augmented LLMs on SageMaker.

Use AWS PrivateLink to set up private access to Amazon Bedrock

Amazon Bedrock is a fully managed service provided by AWS, providing developers with access to foundation models (FMs) and the tools to customize them for their specific applications. With the

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