AWS Machine Learning Blog

OCTOBER 2, 2023

We show you how to use AWS IoT Greengrass to manage model inference at the edge and how to automate the process using AWS Step Functions and other AWS services. AWS IoT Greengrass is an Internet of Things (IoT) open-source edge runtime and cloud service that helps you build, deploy, and manage edge device software.

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IBM Journey to AI blog

AUGUST 30, 2023

It is an enterprise cloud-based asset management platform that leverages artificial intelligence (AI) , the Internet of Things (IoT) and analytics to help optimize equipment performance, extend asset lifecycles and reduce operational downtime and costs. Why ROSA for Maximo in AWS?

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AWS Machine Learning Blog

OCTOBER 2, 2023

However, using purpose-built services like Amazon SageMaker and AWS IoT Greengrass allows you to significantly reduce this effort. If you’re just getting started with MLOps at the edge on AWS, refer to MLOps at the edge with Amazon SageMaker Edge Manager and AWS IoT Greengrass for an overview and reference architecture.

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AWS Machine Learning Blog

JANUARY 13, 2023

To mitigate these challenges, we propose a federated learning (FL) framework, based on open-source FedML on AWS, which enables analyzing sensitive HCLS data. In this two-part series, we demonstrate how you can deploy a cloud-based FL framework on AWS. For Account ID , enter the AWS account ID of the owner of the accepter VPC.

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AWS Machine Learning Blog

MAY 25, 2023

OCX’s solutions are developed in collaboration with Infogain , an AWS Advanced Tier Partner. Infogain works with OCX Cognition as an integrated product team, providing human-centered software engineering services and expertise in software development, microservices, automation, Internet of Things (IoT), and artificial intelligence.

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AWS Machine Learning Blog

OCTOBER 2, 2023

On top of that, the whole process can be configured and managed via the AWS SDK, which is what we use to orchestrate our labeling workflow as part of our CI/CD pipeline. For more information about best practices, refer to the AWS re:Invent 2019 talk, Build accurate training datasets with Amazon SageMaker Ground Truth.

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Dataconomy

APRIL 10, 2023

This is the world of the Industrial Internet of Things (IIoT). IoT, or the Internet of Things, refers to a network of physical objects, devices, vehicles, buildings, and other items that are embedded with sensors, software, and connectivity, enabling them to collect and exchange data with other devices and systems over the internet.

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Dataconomy

APRIL 26, 2023

The realm of edge computing has witnessed a substantial surge in recent years, propelled by the proliferation of remote work, the Internet of Things (IoT), and augmented/virtual reality (AR/VR) technologies, which have necessitated connectivity at the network’s periphery and novel applications.

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AWS Machine Learning Blog

AUGUST 28, 2024

Overview of solution To create an Amazon Q Business application to connect to your GitHub repositories using AWS IAM Identity Center and AWS Secrets Manager , follow these high-level steps: Create an Amazon Q Business application Perform sync Run sample queries to test the solution The following screenshot shows the solution architecture.

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AWS Machine Learning Blog

APRIL 24, 2024

With AWS generative AI services like Amazon Bedrock , developers can create systems that expertly manage and respond to user requests. It is hosted on Amazon Elastic Container Service (Amazon ECS) with AWS Fargate , and it is accessed using an Application Load Balancer. It serves as the data source to the knowledge base.

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Dataconomy

APRIL 10, 2023

This is the world of the Industrial Internet of Things (IIoT). IoT, or the Internet of Things, refers to a network of physical objects, devices, vehicles, buildings, and other items that are embedded with sensors, software, and connectivity, enabling them to collect and exchange data with other devices and systems over the internet.

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AWS Machine Learning Blog

APRIL 18, 2023

It includes sensor devices to capture vibration and temperature data, a gateway device to securely transfer data to the AWS Cloud, the Amazon Monitron service that analyzes the data for anomalies with ML, and a companion mobile app to track potential failures in your machinery. The following diagram illustrates the solution architecture.

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AWS Machine Learning Blog

APRIL 12, 2023

In this post, we describe how AWS Partner Airis Solutions used Amazon Lookout for Equipment , AWS Internet of Things (IoT) services, and CloudRail sensor technologies to provide a state-of-the-art solution to address these challenges. It’s an easy way to run analytics on IoT data to gain accurate insights.

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AWS Machine Learning Blog

MARCH 19, 2024

In this post, multi-shot prompts are retrieved from an embedding containing successful Python code run on a similar data type (for example, high-resolution time series data from Internet of Things devices). For details, refer to Step 1: Create your AWS account. You can name this AWS CloudFormation stack as: genai-sagemaker.

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Dataconomy

JULY 11, 2024

Internet of Things (IoT) integration IoT platforms The integration of IoT in mobile apps is expanding, with platforms like AWS IoT and Azure IoT offering robust solutions. Cloud platforms like AWS, Google Cloud, and Microsoft Azure provide tools and services that simplify app development and deployment.

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AWS Machine Learning Blog

MARCH 29, 2023

Input data is streamed from the plant via OPC-UA through SiteWise Edge Gateway in AWS IoT Greengrass. During the prototyping phase, HAYAT HOLDING deployed models to SageMaker hosting services and got endpoints that are fully managed by AWS. Take advantage of industry-specific innovations and solutions using AWS for Industrial.

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Dataconomy

SEPTEMBER 4, 2023

IoT analytics: IoT (Internet of Things) analytics deals with data generated by IoT devices, such as sensors, connected appliances, and industrial equipment. Downtime, like the AWS outage in 2017 that affected several high-profile websites, can disrupt business operations.

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AWS Machine Learning Blog

OCTOBER 19, 2023

Additionally, using Amazon Comprehend with AWS PrivateLink means that customer data never leaves the AWS network and is continuously secured with the same data access and privacy controls as the rest of your applications. Prerequisites For this walkthrough, you should have the following: An AWS account.

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Data Science Dojo

JULY 24, 2023

Amazon S3: Amazon Simple Storage Service (S3) is a scalable object storage service provided by Amazon Web Services (AWS). Internet of Things (IoT) Data Processing: Stream processing is vital for handling continuous data streams from IoT devices, enabling real-time monitoring and control.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

You’ll need access to an AWS account with an access key or AWS Identity and Access Management (IAM) role with permissions to Amazon Bedrock and Amazon Location. You may need to run aws configure --profile and set a default Region; this application was tested using us-east-1. aws:/root/.aws

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AWS Machine Learning Blog

MAY 10, 2023

Sleepme is an industry leader in sleep temperature management and monitoring products, including an Internet of Things (IoT) enabled sleep tracking sensor suite equipped with heart rate, respiration rate, bed and ambient temperature, humidity, and pressure sensors. The following diagram illustrates their AWS architecture.

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Smart Data Collective

JANUARY 10, 2023

Usually, companies choose a platform provided by one of the most well-known vendors like Amazon (AWS), Google Cloud, or Microsoft Azure. For enjoying all the benefits that IoT technologies can offer us today, it is vital to find a place where all the gathered data will be kept. Find the way to work with IoT data in the most efficient way.

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Smart Data Collective

SEPTEMBER 21, 2021

With the increased adoption of cloud and emerging technologies like the Internet of Things, data is no longer confined to the boundaries of organizations. These solutions must also be able to ingest and integrate data from both on-premise and cloud environments such as Oracle, SAP and AWS, Google, Snowflake, etc.

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AWS Machine Learning Blog

JANUARY 20, 2023

In this post, we discuss how CCC Intelligent Solutions (CCC) combined Amazon SageMaker with other AWS services to create a custom solution capable of hosting the types of complex artificial intelligence (AI) models envisioned. The challenge CCC processes more than $1 trillion claims transactions annually.

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Data Science Connect

JULY 26, 2023

Companies like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud are leveraging their extensive cloud infrastructure to create edge computing solutions. They are harnessing the power of the Industrial Internet of Things (IIoT) and edge computing to optimize processes, increase efficiency, and reduce downtime.

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IBM Journey to AI blog

MARCH 20, 2024

Amazon Web Services (AWS), Google Cloud Platform, IBM Cloud or Microsoft Azure) makes computing resources (e.g., ready-to-use software applications, virtual machines (VMs) , enterprise-grade infrastructures and development platforms) available to users over the public internet on a pay-per-usage basis. What is a public cloud?

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Dataconomy

MAY 23, 2023

Cloud edge: The first type, known as cloud edge, encompasses the expansive data centers operated by cloud service providers such as AWS and GCP. Noteworthy examples include VMware Cloud on AWS and other comparable cloud platforms. Consequently, network bandwidth is more efficient, leading to enhanced performance.

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AWS Machine Learning Blog

SEPTEMBER 1, 2023

The following is an example of notable proprietary FMs available in AWS (July 2023). The following is an example of notable open-source FM available in AWS (July 2023). Then, the fine-tuners use the FM from the local bucket without an internet connection. This ensures data privacy, and the data doesn’t travel over the internet.

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Pickl AI

MARCH 1, 2023

Cloud computing is a way to use the internet to access different types of technology services. These services include things like virtual machines, storage, databases, networks, and tools for artificial intelligence and the Internet of Things.

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IBM Journey to AI blog

FEBRUARY 6, 2024

Internet companies like Amazon led the charge with the introduction of Amazon Web Services (AWS) in 2002, which offered businesses cloud-based storage and computing services, and the launch of Elastic Compute Cloud (EC2) in 2006, which allowed users to rent virtual computers to run their own applications. Google Workspace, Salesforce).

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IBM Journey to AI blog

SEPTEMBER 4, 2024

Producers and consumers A ‘producer’, in Apache Kafka architecture, is anything that can create data—for example a web server, application or application component, an Internet of Things (IoT) , device and many others. Here are a few of the most striking examples.

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IBM Journey to AI blog

JANUARY 29, 2024

Examples include AWS® , Google Cloud Services® , IBM Cloud® , and Microsoft Azure® The cloud computing infrastructure bridges a gap for cloud resources, making it easier and scalable for an organization to run every workload. Instead of purchasing more hardware, the organization shifted to a cloud-based strategy.

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IBM Journey to AI blog

SEPTEMBER 11, 2023

Db2 can run on Red Hat OpenShift and Kubernetes environments, ROSA & EKS on AWS, and ARO & AKS on Azure deployments. The ability to ingest hundreds of thousands of rows each second is critical for more and more applications, particularly for mobile computing and the Internet of Things (IoT).

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phData

SEPTEMBER 19, 2023

Thankfully, there are tools available to help with metadata management, such as AWS Glue, Azure Data Catalog, or Alation, that can automate much of the process. As mentioned above, AWS Glue is a fully managed metadata catalog service provided by AWS. What are the Best Data Modeling Methodologies and Processes?

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phData

MARCH 26, 2024

However, it is now available in public preview in specific AWS regions, excluding trial accounts. This concept vastly differs from Snowflake standard tables, which are built primarily for analytical use. Because of this, the feature has been in private preview since it was announced nearly two years ago.

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IBM Journey to AI blog

MARCH 27, 2024

Prepare to be surprised, because some of the world’s biggest users of wholesale colocation services are actually Amazon (AWS), Google and Microsoft. Will the solution you select let you incorporate emerging technologies, such as the Internet of Things (IoT) ? Who are colocation’s biggest users?

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IBM Journey to AI blog

AUGUST 6, 2024

Today, all leading CSPs, including Amazon Web Services (AWS Lambda), Microsoft Azure (Azure Functions) and IBM (IBM Cloud Code Engine) offer serverless platforms. To accomplish this, enterprises are relying more than ever on cloud functions and reducing their dependence on on-premises infrastructure.

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