AWS Machine Learning Blog

NOVEMBER 15, 2023

In this post, we demonstrate how data aggregated within the AWS CCI Post Call Analytics solution allowed Principal to gain visibility into their contact center interactions, better understand the customer journey, and improve the overall experience between contact channels while also maintaining data integrity and security.

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AWS Machine Learning Blog

NOVEMBER 15, 2024

The available data sources are: Stock Prices Database Contains historical stock price data for publicly traded companies. Analyst Notes Database Knowledge base containing reports from Analysts on their interpretation and analyis of economic events. What was the closing price of Amazon stock on January 1st, 2022?

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IBM Journey to AI blog

OCTOBER 30, 2023

The global AI market is projected to grow to USD 190 billion by 2025, increasing at a compound annual growth rate (CAGR) of 36.62% from 2022, according to Markets and Markets. In this quest, IBM and AWS have forged a strategic alliance, aiming to transition AI’s business potential from mere talk to tangible action.

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Dataconomy

JANUARY 9, 2025

The 2021 breach was enabled, in part, when the hacker guessed obvious credentials to gain access to T-Mobiles internal databases,” reads the lawsuit. In some cases, T-Mobile used obvious passwords to protect accounts that had access to customers sensitive personal information. The compromised data was subsequently sold. Unsplash

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AWS Machine Learning Blog

JANUARY 13, 2023

In this two-part series, we demonstrate how you can deploy a cloud-based FL framework on AWS. In the second post , we present the use cases and dataset to show its effectiveness in analyzing real-world healthcare datasets, such as the eICU data , which comprises a multi-center critical care database collected from over 200 hospitals.

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AWS Machine Learning Blog

FEBRUARY 19, 2024

Internally, Amazon Bedrock uses embeddings stored in a vector database to augment user query context at runtime and enable a managed RAG architecture solution. The document embeddings are split into chunks and stored as indexes in a vector database. We use the Amazon letters to shareholders dataset to develop this solution.

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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. In the first post , we described FL concepts and the FedML framework.

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AWS Machine Learning Blog

MARCH 30, 2023

This style of play is also evident when you look at the ball recovery times for the first 24 match days in the 2022/23 season. Let’s look at certain games played by Cologne in the 2022/23 season. A Lambda function retrieves all recovery times from the relevant Kafka topic and stores them in an Amazon Aurora Serverless database.

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Flipboard

FEBRUARY 7, 2025

This post shows you how to set up RAG using DeepSeek-R1 on Amazon SageMaker with an OpenSearch Service vector database as the knowledge base. You will execute scripts to create an AWS Identity and Access Management (IAM) role for invoking SageMaker, and a role for your user to create a connector to SageMaker.

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Data Science Blog

NOVEMBER 15, 2023

The database for Process Mining is also establishing itself as an important hub for Data Science and AI applications, as process traces are very granular and informative about what is really going on in the business processes. This aspect can be applied well to Process Mining, hand in hand with BI and AI.

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IBM Journey to AI blog

JULY 19, 2023

In this blog post, we will showcase how IBM Consulting is partnering with AWS and leveraging Large Language Models (LLMs), on IBM Consulting’s generative AI-Automation platform (ATOM), to create industry-aware, life sciences domain-trained foundation models to generate first drafts of the narrative documents, with an aim to assist human teams.

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AWS Machine Learning Blog

MARCH 30, 2023

In 2022/23 so far, he has almost secured a clean sheet every other match for Die Schwarzgelben, despite the team’s inconsistency and often poor midfield performance. Bundesliga and AWS have collaborated to perform an in-depth examination to study the quantification of achievements of Bundesliga’s keepers.

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AWS Machine Learning Blog

SEPTEMBER 25, 2024

After the documents are successfully copied to the S3 bucket, the event automatically invokes an AWS Lambda The Lambda function invokes the Amazon Bedrock knowledge base API to extract embeddings—essential data representations—from the uploaded documents. Choose the AWS Region where you want to create the bucket. Choose Create bucket.

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AWS Machine Learning Blog

MARCH 1, 2024

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. Context is retrieved from the vector database based on the user query. billion for 2021, 2022, and 2023. billion for 2021, 2022, and 2023. billion for 2021, 2022, and 2023. billion for 2021, 2022, and 2023.

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AWS Machine Learning Blog

APRIL 8, 2024

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. You can query using either the AWS Management Console or SDK. If you want to follow along in your own AWS account, download the file. In the Vector database section, choose Quick create a new vector store.

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AWS Machine Learning Blog

JUNE 26, 2024

This post is a follow-up to Generative AI and multi-modal agents in AWS: The key to unlocking new value in financial markets. Action groups – Action groups are interfaces that an agent uses to interact with the different underlying components such as APIs and databases.

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AWS Machine Learning Blog

JULY 1, 2024

In this post, we demonstrate how you can build chatbots with QnAIntent that connects to a knowledge base in Amazon Bedrock (powered by Amazon OpenSearch Serverless as a vector database ) and build rich, self-service, conversational experiences for your customers. Keep the data source location as the same AWS account and choose Browse S3.

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AWS Machine Learning Blog

MARCH 29, 2023

In this post, we discuss how the IEO developed UNDP’s artificial intelligence and machine learning (ML) platform—named Artificial Intelligence for Development Analytics (AIDA)— in collaboration with AWS, UNDP’s Information and Technology Management Team (UNDP ITM), and the United Nations International Computing Centre (UNICC).

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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 6, 2023

With the right underlying embedding model, capable of producing accurate semantic representations of the input document chunks and the input questions, and an efficient semantic search module, this solution is able to answer questions that require retrieving existent information in a database of documents.

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Cambridge Intelligence

OCTOBER 19, 2023

That’s why our data visualization SDKs are database agnostic: so you’re free to choose the right stack for your application. There have been a lot of new entrants and innovations in the graph database category, with some vendors slowly dipping below the radar, or always staying on the periphery. can handle many graph-type problems.

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Mlearning.ai

FEBRUARY 22, 2023

We may use AWS SageMaker to preprocess data, train model and make inferences. In this tutorial, I would like to show you a step-by-step method on how to connect AWS SageMaker with the Snowflake environment. But it’s good practice to have a service account that we can store in AWS either in secret key or parameter store.

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AWS Machine Learning Blog

FEBRUARY 29, 2024

billion EUR (in 2022), a workforce of 336,884 employees (including 221,343 employees in Germany), and operations spanning 130 countries. This process of ordering a SageMaker domain is orchestrated through a separate workflow process (via AWS Step Functions ).

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AWS Machine Learning Blog

MAY 8, 2024

In 2022, Dialog Axiata made significant progress in their digital transformation efforts, with AWS playing a key role in this journey. Dialog Axiata runs some of their business-critical telecom workloads on AWS, including Charging Gateway, Payment Gateway, Campaign Management System, SuperApp, and various analytics tasks.

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AWS Machine Learning Blog

JANUARY 21, 2025

In this post, we show you how Amazon Web Services (AWS) helps in solving forecasting challenges by customizing machine learning (ML) models for forecasting. In this post, we access Amazon SageMaker Canvas through the AWS console. About the Authors Aditya Pendyala is a Principal Solutions Architect at AWS based out of NYC.

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Tableau

NOVEMBER 24, 2019

November 22, 2022. 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. Jason Dudek. Senior Partner Development Manager.

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IBM Journey to AI blog

JUNE 20, 2024

The artificial intelligence (AI) governance market is experiencing rapid growth, with the worldwide AI software market projected to expand from USD 64 billion in 2022 to nearly USD 251 billion by 2027, reflecting a compound annual growth rate (CAGR) of 31.4% ( IDC ). Embrace the power of IBM and AWS to harness the full potential of your data.

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AWS Machine Learning Blog

SEPTEMBER 12, 2024

The application sends the user query to the vector database to find similar documents. The QnA application submits a request to the SageMaker JumpStart model endpoint with the user query and context returned from the vector database. Basic familiarity with SageMaker and AWS services that support LLMs.

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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

MARCH 14, 2024

In this post we highlight how the AWS Generative AI Innovation Center collaborated with the AWS Professional Services and PGA TOUR to develop a prototype virtual assistant using Amazon Bedrock that could enable fans to extract information about any event, player, hole or shot level details in a seamless interactive manner.

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AWS Machine Learning Blog

NOVEMBER 3, 2023

We analyzed around 215 matches from the Bundesliga 2022–2023 season. To process match metadata, we use an AWS Lambda function called MetaDataIngestion , while positional data is brought in using an AWS Fargate container known as MatchLink. About the Authors Tareq Haschemi is a consultant within AWS Professional Services.

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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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Flipboard

FEBRUARY 7, 2023

If you have an AWS account and have set up a SageMaker Studio domain, you can also run these notebooks on Studio using the default Data Science Python kernel (with the ImJoy-jupyter-extension installed) while selecting from a variety of compute instance types. Gang Fu is a Healthcare Solution Architect at AWS.

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IBM Journey to AI blog

MAY 9, 2023

1] It also offers built-in governance, automation and integrations with an organization’s existing databases and tools to simplify setup and user experience. Wasonx.data will be available on premises and across multiple cloud providers, including IBM Cloud and Amazon Web Services (AWS).

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AWS Machine Learning Blog

JANUARY 13, 2023

In this post, we discuss how TR and AWS collaborated to develop TR’s first ever Enterprise AI Platform, a web-based tool that would provide capabilities ranging from ML experimentation, training, a central model registry, model deployment, and model monitoring. Secure and govern all capabilities as per TR’s enterprise standards.

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Data Science Dojo

JULY 3, 2024

Big Data Technologies : Handling and processing large datasets using tools like Hadoop, Spark, and cloud platforms such as AWS and Google Cloud. Databases and SQL : Managing and querying relational databases using SQL, as well as working with NoSQL databases like MongoDB.

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AWS Machine Learning Blog

MARCH 6, 2024

As shown in the following table, many of the top-selling drugs in 2022 were either proteins (especially antibodies) or other molecules like mRNA translated into proteins in the body. Name Manufacturer 2022 Global Sales ($ billions USD) Indications Comirnaty Pfizer/BioNTech $40.8 Top companies and drugs by sales in 2022.

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