AWS Machine Learning Blog

MAY 3, 2023

New generations of CPUs offer a significant performance improvement in machine learning (ML) inference due to specialized built-in instructions. AWS, Arm, Meta and others helped optimize the performance of PyTorch 2.0 As a result, we are delighted to announce that AWS Graviton-based instance inference performance for PyTorch 2.0

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Pickl AI

DECEMBER 26, 2024

Summary: “Data Science in a Cloud World” highlights how cloud computing transforms Data Science by providing scalable, cost-effective solutions for big data, Machine Learning, and real-time analytics. In Data Science in a Cloud World, we explore how cloud computing has revolutionised Data Science.

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AWS Machine Learning Blog

SEPTEMBER 24, 2024

AWS AI and machine learning (ML) services help address these concerns within the industry. In this post, we share how legal tech professionals can build solutions for different use cases with generative AI on AWS. These capabilities are built using the AWS Cloud. At AWS, security is our top priority.

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Data Science Dojo

FEBRUARY 20, 2023

Machine learning (ML) is the technology that automates tasks and provides insights. It comes in many forms, with a range of tools and platforms designed to make working with ML more efficient. It features an ML package with machine learning-specific APIs that enable the easy creation of ML models, training, and deployment.

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AWS Machine Learning Blog

APRIL 7, 2025

Virginia) AWS Region. Prerequisites To try the Llama 4 models in SageMaker JumpStart, you need the following prerequisites: An AWS account that will contain all your AWS resources. An AWS Identity and Access Management (IAM) role to access SageMaker AI. The example extracts and contextualizes the buildspec-1-10-2.yml

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Dataconomy

FEBRUARY 6, 2024

With the ability to analyze a vast amount of data in real-time, identify patterns, and detect anomalies, AI/ML-powered tools are enhancing the operational efficiency of businesses in the IT sector. Why does AI/ML deserve to be the future of the modern world? Let’s understand the crucial role of AI/ML in the tech industry.

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AWS Machine Learning Blog

MARCH 14, 2024

Generative AI with AWS The emergence of FMs is creating both opportunities and challenges for organizations looking to use these technologies. The computational cost alone can easily run into the millions of dollars to train models with hundreds of billions of parameters on massive datasets using thousands of GPUs or TPUs.

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AWS Machine Learning Blog

FEBRUARY 21, 2025

You can use Amazon FSx to lift and shift your on-premises Windows file server workloads to the cloud, taking advantage of the scalability, durability, and cost-effectiveness of AWS while maintaining full compatibility with your existing Windows applications and tooling. For Access management method , select AWS IAM Identity Center.

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Towards AI

JANUARY 29, 2025

Programming Languages: Python (most widely used in AI/ML) R, Java, or C++ (optional but useful) 2. Cloud Computing: AWS, Google Cloud, Azure (for deploying AI models) Soft Skills: 1. Programming: Learn Python, as its the most widely used language in AI/ML. Problem-Solving and Critical Thinking 2.

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AWS Machine Learning Blog

JULY 10, 2024

During the last 18 months, we’ve launched more than twice as many machine learning (ML) and generative AI features into general availability than the other major cloud providers combined. Read more about our commitments to responsible AI on the AWS Machine Learning Blog.

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AWS Machine Learning Blog

MARCH 18, 2025

With this launch, you can now deploy NVIDIAs optimized reranking and embedding models to build, experiment, and responsibly scale your generative AI ideas on AWS. As part of NVIDIA AI Enterprise available in AWS Marketplace , NIM is a set of user-friendly microservices designed to streamline and accelerate the deployment of generative AI.

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AWS Machine Learning Blog

APRIL 7, 2023

With the advent of high-speed 5G mobile networks, enterprises are more easily positioned than ever with the opportunity to harness the convergence of telecommunications networks and the cloud. Even ground and aerial robotics can use ML to unlock safer, more autonomous operations. The following diagram illustrates this architecture.

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AWS Machine Learning Blog

NOVEMBER 8, 2023

In this era of cloud computing, developers are now harnessing open source libraries and advanced processing power available to them to build out large-scale microservices that need to be operationally efficient, performant, and resilient. Therefore, AWS can help lower the workload carbon footprint up to 96%.

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AWS Machine Learning Blog

MAY 8, 2023

With Amazon SageMaker , you can manage the whole end-to-end machine learning (ML) lifecycle. It offers many native capabilities to help manage ML workflows aspects, such as experiment tracking, and model governance via the model registry. To automate the infrastructure deployment, we use the AWS Cloud Development Kit (AWS CDK).

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Pickl AI

JANUARY 31, 2025

Summary: In this cloud computing notes we offers the numerous advantages for businesses, such as cost savings, scalability, enhanced collaboration, and improved security. Embracing cloud solutions can significantly enhance operational efficiency and drive innovation in today’s competitive landscape.

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IBM Journey to AI blog

MAY 26, 2023

Cloud is transforming the way life sciences organizations are doing business. Cloud computing offers the potential to redefine and personalize customer relationships, transform and optimize operations, improve governance and transparency, and expand business agility and capability.

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AWS Machine Learning Blog

MAY 7, 2024

Solution overview The entire infrastructure of the solution is provisioned using the AWS Cloud Development Kit (AWS CDK), which is an infrastructure as code (IaC) framework to programmatically define and deploy AWS resources. AWS CDK version 2.0

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Precisely

APRIL 11, 2024

In an era where cloud technology is not just an option but a necessity for competitive business operations, the collaboration between Precisely and Amazon Web Services (AWS) has set a new benchmark for mainframe and IBM i modernization.

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AWS Machine Learning Blog

NOVEMBER 16, 2023

This is a joint blog with AWS and Philips. Since 2014, the company has been offering customers its Philips HealthSuite Platform, which orchestrates dozens of AWS services that healthcare and life sciences companies use to improve patient care.

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AWS Machine Learning Blog

MAY 1, 2024

Virginia) AWS Region. The diagram details a comprehensive AWS Cloud-based setup within a specific Region, using multiple AWS services. Queries made through this interface activate the AWS Lambda Invocation function, which interfaces with an agent. file for deploying the solution using the AWS CDK.

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AWS Machine Learning Blog

DECEMBER 13, 2023

Machine learning (ML) models do not operate in isolation. To deliver value, they must integrate into existing production systems and infrastructure, which necessitates considering the entire ML lifecycle during design and development. Building a robust MLOps pipeline demands cross-functional collaboration.

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Pickl AI

APRIL 7, 2025

Summary: This blog explains the difference between cloud computing and grid computing in simple terms. Ideal for beginners and tech enthusiasts exploring modern computing trends. Introduction Welcome to our exploration, where we highlight the difference between cloud computing and grid computing.

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Pickl AI

MARCH 1, 2023

What is Cloud Computing? Cloud computing is a way to use the internet to access different types of technology services. The term “cloud computing” was first used in a paper by computer scientist and mathematician Ramnath Chellappa in 1997.

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Flipboard

JANUARY 16, 2025

High-performance, cost-effective generative AI Native support for ML frameworks and libraries State-of-the-art AI optimizations Designed for AI

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AWS Machine Learning Blog

AUGUST 20, 2024

So, we introduced a new feature that uses AWS global condition context keys aws:SourceIp and aws:VpcSourceIp to allow customers to restrict presigned URL access to specific IP addresses or VPC endpoints. Before we go into the configuration of this new feature, let’s look at how you can create and update workteams today using the AWS CLI.

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Dataconomy

JUNE 16, 2023

Any organization’s cybersecurity plan must include data loss prevention (DLP), especially in the age of cloud computing and software as a service (SaaS). Customers can benefit from the people-centric security solutions offered by Gamma AI’s AI-powered cloud DLP solution. How to use Gamme AI?

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Pickl AI

JULY 11, 2024

Summary: Platform as a Service (PaaS) offers a cloud development environment with tools, frameworks, and resources to streamline application creation. Introduction The cloud computing landscape has revolutionized the way businesses approach IT infrastructure and application development.

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IBM Journey to AI blog

FEBRUARY 6, 2024

It’s hard to imagine a business world without cloud computing. There would be no e-commerce, remote work capabilities or the IT infrastructure framework needed to support emerging technologies like generative AI and quantum computing. What is cloud computing?

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AWS Machine Learning Blog

OCTOBER 17, 2024

Amazon Transcribe uses advanced speech recognition algorithms and machine learning (ML) models to accurately partition speakers and transcribe the audio, handling various accents, background noise, and other challenges. Deployment, as described below, is currently supported only in the US West (Oregon) us-west-2 AWS Region.

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AWS Machine Learning Blog

AUGUST 8, 2023

Amazon SageMaker offers several ways to run distributed data processing jobs with Apache Spark, a popular distributed computing framework for big data processing. For SageMaker Studio notebooks and AWS Glue Interactive Sessions, you can set up the Spark event log location directly from the notebook by using the sparkmagic kernel.

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Alation

DECEMBER 14, 2021

Alation recently attended AWS re:invent 2021 … in person! AWS Keynote: “Still Early Days” for Cloud. Adam Selipsky, CEO of AWS, brought this energy in his opening keynote, welcoming a packed room and looking back on the progress of AWS. Cloud accounts for less than 5% of global IT spending , according to estimates.

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AWS Machine Learning Blog

SEPTEMBER 12, 2024

SageMaker JumpStart SageMaker JumpStart is a powerful feature within the Amazon SageMaker ML platform that provides ML practitioners a comprehensive hub of publicly available and proprietary foundation models. Basic familiarity with SageMaker and AWS services that support LLMs. The Jupyter Notebooks needs ml.t3.medium.

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AWS Machine Learning Blog

MAY 30, 2024

With Bedrock’s serverless experience, one can get started quickly, privately customize FMs with their own data, and easily integrate and deploy them into applications using the AWS tools without having to manage any infrastructure. Vitech thereby selected Amazon Bedrock to host LLMs and integrate seamlessly with their existing infrastructure.

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AWS Machine Learning Blog

SEPTEMBER 14, 2023

This post takes you through the most common challenges that customers face when searching internal documents, and gives you concrete guidance on how AWS services can be used to create a generative AI conversational bot that makes internal information more useful. The web application front-end is hosted on AWS Amplify.

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AWS Machine Learning Blog

SEPTEMBER 10, 2024

As part of its goal to help people live longer, healthier lives, Genomics England is interested in facilitating more accurate identification of cancer subtypes and severity, using machine learning (ML). We provide insights on interpretability, robustness, and best practices of architecting complex ML workflows on AWS with Amazon SageMaker.

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AWS Machine Learning Blog

OCTOBER 30, 2023

Solution overview SageMaker JumpStart provides pre-trained, open-source models for a wide range of problem types to help you get started with machine learning (ML). JumpStart also provides solution templates that set up infrastructure for common use cases, and executable example notebooks for ML with Amazon SageMaker.

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AWS Machine Learning Blog

JULY 17, 2023

With cloud computing, as compute power and data became more available, machine learning (ML) is now making an impact across every industry and is a core part of every business and industry. Amazon SageMaker Studio is the first fully integrated ML development environment (IDE) with a web-based visual interface.

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