AWS Machine Learning Blog

MAY 24, 2023

In this three-part series, we present a solution that demonstrates how you can automate detecting document tampering and fraud at scale using AWS AI and machine learning (ML) services for a mortgage underwriting use case. Vinnie Saini is a Senior Solutions Architect at Amazon Web Services (AWS) based in Toronto, Canada.

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AWS Machine Learning Blog

FEBRUARY 26, 2025

Pattern was founded in 2013 and has expanded to over 1,700 team members in 22 global locations, addressing the growing need for specialized ecommerce expertise. In this post, we share how Pattern uses AWS services to process trillions of data points to deliver actionable insights, optimizing product listings across multiple services.

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Flipboard

NOVEMBER 28, 2023

AWS commitment Through engagements with the White House and UN , among others, we are committed to sharing our knowledge and expertise to advance the responsible and secure use of AI. She also helps internal teams and AWS customers get started on their responsible AI journey. About the Authors Mia C.

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AWS Machine Learning Blog

FEBRUARY 1, 2024

Consider the following picture, which is an AWS view of the a16z emerging application stack for large language models (LLMs). This includes native AWS services like Amazon OpenSearch Service and Amazon Aurora. Is your vector database highly available in a single AWS Region? Vector database features built into other services.

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AWS Machine Learning Blog

FEBRUARY 2, 2024

The embeddings are captured in Amazon Simple Storage Service (Amazon S3) via Amazon Kinesis Data Firehose , and we run a combination of AWS Glue extract, transform, and load (ETL) jobs and Jupyter notebooks to perform the embedding analysis. For more information about AWS CDK installation, refer to Getting started with the AWS CDK.

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Flipboard

NOVEMBER 24, 2023

In this post, we show you how SnapLogic , an AWS customer, used Amazon Bedrock to power their SnapGPT product through automated creation of these complex DSL artifacts from human language. SnapLogic background SnapLogic is an AWS customer on a mission to bring enterprise automation to the world.

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AWS Machine Learning Blog

JANUARY 4, 2024

In this pattern, we use Retrieval Augmented Generation using vector embeddings stores, like Amazon Titan Embeddings or Cohere Embed , on Amazon Bedrock from a central data catalog, like AWS Glue Data Catalog , of databases within an organization. In entered the Big Data space in 2013 and continues to explore that area.

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IBM Journey to AI blog

NOVEMBER 2, 2023

These tech pioneers were looking for ways to bring Google’s internal infrastructure expertise into the realm of large-scale cloud computing and also enable Google to compete with Amazon Web Services (AWS)—the unrivaled leader among cloud providers at the time.

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AWS Machine Learning Blog

JUNE 23, 2023

This includes provisioning Amazon Simple Storage Service (Amazon S3) buckets, AWS Identity and Access Management (IAM) access permissions, Snowflake storage integration for individual users, and an ongoing mechanism to manage or clean up data copies in Amazon S3. An AWS account with admin access.

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Flipboard

JULY 19, 2023

As part of the post-processing, an AWS Lambda function inserts special markers into the text indicating page boundaries. Another Lambda function picks up that message and starts an Amazon Elastic Container Service (Amazon ECS) AWS Fargate task. About the author Randy DeFauw is a Senior Principal Solutions Architect at AWS.

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Dataconomy

FEBRUARY 6, 2024

For example, Airbnb uses AI on AWS to efficiently manage how much cloud capacity they need, create tools for tracking costs, and make storage and computing more cost-effective. Dropbox also uses AI to cut down on expenses while using cloud services, reducing their reliance on AWS and saving about $75 million.

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IBM Journey to AI blog

JANUARY 10, 2023

East2 region of the Microsoft Azure cloud and the historical data (2003 – 2018) is contained in an external Parquet format file that resides on the Amazon Web Services (AWS) cloud within S3 (Simple Storage Service) storage. Figure 9 – Flight delays were lower during 2013 through 2018. The data definition.

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phData

NOVEMBER 8, 2024

2013 - Apache Parquet and ORC These columnar storage formats were developed to optimize storage and speed within distributed storage and computing environments. The Hive format helped structure and partition data within the Hadoop ecosystem, but it had limitations in terms of flexibility and performance.

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Heartbeat

DECEMBER 27, 2023

However, the emergence of the open-source Docker engine by Solomon Hykes in 2013 accelerated the adoption of the technology. Numerous platforms can host our Python containerized application, such as Heroku , PythonAnywhere , Platform.sh , Google App Engine , Digitalocean app platform , and AWS Elastic Beanstalk. What is Docker?

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Hacker News

DECEMBER 3, 2023

Search for your account across multiple breaches [link] — Have I Been Pwned (@haveibeenpwned) December 4, 2013 And then, as they say, things kinda escalated quickly. aw man, thanks The Register! "Have I been pwned?" " by @troyhunt is now up and running.

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Flipboard

APRIL 30, 2025

Since its founding in 2013, FloQast has had the privilege of working with over 2,800 organizations across various industries and regions, helping them streamline their accounting operations. The following diagram illustrates the architecture using AWS services. One such customer is FloQast.

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Pickl AI

FEBRUARY 23, 2025

Amazon EMR (Elastic MapReduce) Amazon EMR is a cloud-native Big Data platform that simplifies running Big Data frameworks such as Apache Hadoop and Apache Spark on AWS. Statistics : According to AWS reports, EMR reduces the time required for Big Data processing tasks by up to 90% compared to traditional methods.

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