IBM Journey to AI blog

OCTOBER 30, 2023

In this quest, IBM and AWS have forged a strategic alliance, aiming to transition AI’s business potential from mere talk to tangible action. The AWS-IBM partnership is a symphony of strengths The collaboration between IBM and AWS is more than just a tactical alliance; it’s a symphony of strengths.

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AWS Machine Learning Blog

MAY 23, 2023

In April 2023, AWS unveiled Amazon Bedrock , which provides a way to build generative AI-powered apps via pre-trained models from startups including AI21 Labs , Anthropic , and Stability AI. Amazon Bedrock also offers access to Titan foundation models, a family of models trained in-house by AWS. Deploy the AWS CDK application.

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AWS Machine Learning Blog

APRIL 7, 2023

To reduce the barrier to entry of ML at the edge, we wanted to demonstrate an example of deploying a pre-trained model from Amazon SageMaker to AWS Wavelength , all in less than 100 lines of code. In this post, we demonstrate how to deploy a SageMaker model to AWS Wavelength to reduce model inference latency for 5G network-based applications.

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AWS Machine Learning Blog

AUGUST 30, 2023

This post demonstrates a strategy for fine-tuning publicly available LLMs for the task of radiology report summarization using AWS services. Prerequisites To get started, you need an AWS account in which you can use SageMaker Studio. You will need to create a user profile for SageMaker Studio if you don’t already have one.

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AWS Machine Learning Blog

NOVEMBER 7, 2023

Today, we are excited to unveil three generative AI demos, licensed under MIT-0 license : Amazon Kendra with foundational LLM – Utilizes the deep search capabilities of Amazon Kendra combined with the expansive knowledge of LLMs. Having the right setup in place is the first step towards a seamless deployment of the demos. Python 3.6

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AWS Machine Learning Blog

MARCH 1, 2024

Genesys Cloud (an omni-channel orchestration and customer relationship platform) provides a contact center platform in a public cloud model that enables quick and simple integration of AWS Contact Center Intelligence (AWS CCI) to transform the modern contact center from a cost center into a profit center. Save your configuration.

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AWS Machine Learning Blog

AUGUST 1, 2023

With the power of state-of-the-art techniques, the creative agency can support their customer by using generative AI models within their secure AWS environment. AWS has also developed hardware and chips using AWS Inferentia2 for high performance at the lowest cost for generative AI inference.

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AWS Machine Learning Blog

MARCH 13, 2024

It enables secure, high-speed data copy between same-Region access points using AWS internal networks and VPCs. Configure AWS Identity and Access Management (IAM) permissions and policies in Account A. S3 Access Points simplifies the management of access permissions specific to each application accessing a shared dataset.

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AWS Machine Learning Blog

APRIL 18, 2024

Check out the following demo to see how it works. It’s straightforward to deploy in your AWS account. Prerequisites You need to have an AWS account and an AWS Identity and Access Management (IAM) role and user with permissions to create and manage the necessary resources and components for this application.

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AWS Machine Learning Blog

APRIL 11, 2023

With Streamlit , developing demo applications for your ML solution is easy. As an example, we use a custom Amazon Rekognition demo, which will annotate and label an uploaded image. This will serve as a starting point, and it can be generalized to demo any custom ML model. Create Studio using JupyterLab 3.0 sh setup.sh

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AWS Machine Learning Blog

APRIL 5, 2024

You can access the bulk analysis feature either via the Amazon Rekognition console or by calling the APIs directly using the AWS CLI and the AWS SDKs. To try the new moderation labels and bulk analysis, log in to your AWS account and check out the Amazon Rekognition console for Image Moderation and Bulk Analysis.

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Data Science Dojo

JUNE 30, 2023

Their comprehensive training aims to make data science accessible to everyone, offering hands-on experience in practical data science topics such as R programming, AWS, and Azure tools. You can also take advantage of free trials or bootcamp demos to get a feel for the curriculum and teaching style.

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Tableau

NOVEMBER 24, 2019

Modern Cloud Analytics (MCA) combines the resources, technical expertise, and data knowledge of Tableau, Amazon Web Services (AWS) , and our respective partner networks to help organizations maximize the value of their end-to-end data and analytics investments. Core product integration and connectivity between Tableau and AWS.

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Tableau

NOVEMBER 24, 2019

Modern Cloud Analytics (MCA) combines the resources, technical expertise, and data knowledge of Tableau, Amazon Web Services (AWS) , and our respective partner networks to help organizations maximize the value of their end-to-end data and analytics investments. Core product integration and connectivity between Tableau and AWS.

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AWS Machine Learning Blog

NOVEMBER 13, 2023

Solution overview To demonstrate our solution, we have set up an Amazon Kendra index (composed of the AWS online documentation for Amazon Kendra , Amazon Lex , and Amazon SageMaker ), a LangChain agent with an Amazon Bedrock LLM, and a straightforward Streamlit user interface. Deploy an Amazon Kendra index in your AWS account.

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AWS Machine Learning Blog

MAY 17, 2023

AWS delivers services that meet customers’ artificial intelligence (AI) and machine learning (ML) needs with services ranging from custom hardware like AWS Trainium and AWS Inferentia to generative AI foundation models (FMs) on Amazon Bedrock. SageMaker Model SageMakerModel: Type: AWS::SageMaker::Model Properties: ModelName: !Sub

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Tableau

NOVEMBER 24, 2019

Modern Cloud Analytics (MCA) combines the resources, technical expertise, and data knowledge of Tableau, Amazon Web Services (AWS) , and our respective partner networks to help organizations maximize the value of their end-to-end data and analytics investments. Core product integration and connectivity between Tableau and AWS.

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AWS Machine Learning Blog

DECEMBER 14, 2023

In November 2022, we announced that AWS customers can generate images from text with Stable Diffusion models in Amazon SageMaker JumpStart , a machine learning (ML) hub offering models, algorithms, and solutions. AWS provides a plethora of options and services to facilitate this endeavor.

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AWS Machine Learning Blog

DECEMBER 14, 2023

To reduce the effort of preparing training data, we built a pre-labeling tool using AWS Step Functions that automatically pre-annotates documents by using existing tabular entity data. For the demo, we use simulated bank statements like the following example. The first technique is fuzzy matching.

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Dataconomy

MARCH 19, 2024

From insightful webinars and comprehensive training sessions to cutting-edge demos and more, we’ll cover all the highlights and innovations showcased at this year’s event. Integration of the new NVIDIA Blackwell GPU platform into AWS infrastructure is announced, enhancing generative AI capabilities.

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AWS Machine Learning Blog

MARCH 11, 2024

In this post, we show you how VistaPrint uses a combination of Amazon Personalize , Twilio Segment , and auxiliary AWS services and partner solutions to better understand their customers’ needs and provide personalized product recommendations. About the Authors Ethan Fahy is an Enterprise Senior Solutions Architect at AWS based in Boston, MA.

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AWS Machine Learning Blog

APRIL 4, 2023

Overview of solution We use a fully deployable AWS CloudFormation template to create an Amazon Simple Storage Service (Amazon S3) bucket, which becomes the source to store your Amazon Kendra FAQs. This solution uses an AWS Lambda function that gets triggered by an Amazon S3 event notification. For example, demo-desc-hello world.json.

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Flipboard

NOVEMBER 30, 2023

Although it provides various entry points like the SageMaker Python SDK, AWS SDKs, the SageMaker console, and Amazon SageMaker Studio notebooks to simplify the process of training and deploying ML models at scale, customers are still looking for better ways to deploy their models for playground testing and to optimize production deployments.

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AWS Machine Learning Blog

FEBRUARY 29, 2024

Knowledge Bases for Amazon Bedrock allows you to build performant and customized Retrieval Augmented Generation (RAG) applications on top of AWS and third-party vector stores using both AWS and third-party models. You can also use the StartIngestionJob API to trigger the sync via the AWS SDK.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

Yes, the AWS re:Invent season is upon us and as always, the place to be is Las Vegas! are the sessions dedicated to AWS DeepRacer ! Generative AI is at the heart of the AWS Village this year. You marked your calendars, you booked your hotel, and you even purchased the airfare. And last but not least (and always fun!)

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AWS Machine Learning Blog

NOVEMBER 17, 2023

You can deploy this solution to your AWS account using the AWS Cloud Development Kit (AWS CDK) package available in our GitHub repo. Using the AWS Management Console , you can create a recording configuration and link it to an Amazon IVS channel. Processing halts if the previous sample time is too recent.

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AWS Machine Learning Blog

APRIL 12, 2023

The documents being used in this example are a subset of AWS public documents. When an Amazon Kendra index receives a query API call with a user access token, it validates the token using a shared secret key (stored securely in AWS Secrets Manager ) and gets parameters such as username and groups in the payload. getUrlEncoder().encodeToString(secret.getBytes(StandardCharsets.UTF_8));

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AWS Machine Learning Blog

FEBRUARY 14, 2023

The Amazon Lex chatbot can be integrated into Amazon Kendra using a direct integration or via an AWS Lambda function. The use of the AWS Lambda function will provide you with fine-grained control of the Amazon Kendra API calls. For instructions on creating S3 buckets, please refer to AWS Documentation – Creating a bucket.

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AWS Machine Learning Blog

MARCH 31, 2023

Solution overview To tackle these challenges, the KYTC team reviewed several contact center solutions and collaborated with the AWS ProServe team to implement a cloud-based contact center and a virtual agent named Max. Amazon Lex and the AWS QnABot Amazon Lex is an AWS service for creating conversational interfaces.

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Data Science 101

MAY 23, 2019

There are lots of AI talks and demos. AWS DeepRacer – Learn reinforcement learning by programming an autonomous car and competing in races. Not all are data science/AI related, but many are. Google I/O 2019 Videos – Google’s big annual conference. Nearly all of the sessions are recorded. This is exciting.

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AWS Machine Learning Blog

AUGUST 3, 2023

We demonstrate how you can combine well-known ML solutions with postprocessing to address this problem on the AWS Cloud. Finally, we show how you can integrate this car pose detection solution into your existing web application using services like Amazon API Gateway and AWS Amplify. The AWS Cloud Development Kit (AWS CDK) installed.

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Dataconomy

JUNE 16, 2023

For a free initial consultation call, you can email sales@gammanet.com or click “Request a Demo” on the Gamma website ([link] Go to the Gamma.AI Click “Request a Demo.” Click “ See it in action ” and wait for the demo. ” Read the text and put your information in empty boxes.

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Data Science Dojo

NOVEMBER 15, 2023

The conference will feature a wide range of sessions, including keynotes, panels, workshops, and demos. The AI Expo features a variety of talks, workshops, and demos on a wide range of AI topics. The AI Expo is a great opportunity to learn from experts from companies like AWS, IBM, etc.

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AWS Machine Learning Blog

AUGUST 14, 2023

Amazon OpenSearch OpenSearch Service is a fully managed service that makes it simple to deploy, scale, and operate OpenSearch in the AWS Cloud. Prerequisites The first thing to do before we can use any AWS services is to make sure we have signed up for and created an AWS account.

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AWS Machine Learning Blog

JULY 5, 2023

This service can be used by chatbots, audio books, and other text-to-speech applications in conjunction with other AWS AI or machine learning (ML) services. This calls an API (3) through Amazon API Gateway , to invoke an AWS Lambda function (4). We have more code examples for accessing Amazon Polly with Python in the AWS Code Library.

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AWS Machine Learning Blog

OCTOBER 10, 2023

Customers often need to train a model with data from different regions, organizations, or AWS accounts. Existing partner open-source FL solutions on AWS include FedML and NVIDIA FLARE. These open-source packages are deployed in the cloud by running in virtual machines, without using the cloud-native services available on AWS.

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Julien Simon

FEBRUARY 7, 2023

link] In this video, you will learn how to accelerate PyTorch inference with an Intel Sapphire Rapids server running on AWS. In this video, I show you two quick demos for semantic search on images and videos. In less than 2.5

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