AWS Machine Learning Blog

APRIL 28, 2025

Amazon Nova models and Amazon Bedrock Amazon Nova models , unveiled at AWS re:Invent in December 2024, are optimized to deliver exceptional price-performance value, offering state-of-the-art performance on key text-understanding benchmarks at low cost. Choose us-east-1 as the AWS Region.

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AWS Machine Learning Blog

MAY 10, 2023

Given the importance of Jupyter to data scientists and ML developers, AWS is an active sponsor and contributor to Project Jupyter. In parallel to these open-source contributions, we have AWS product teams who are working to integrate Jupyter with products such as Amazon SageMaker. Principal Technologist at AWS.

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AWS Machine Learning Blog

AUGUST 7, 2023

In an effort to create and maintain a socially responsible gaming environment, AWS Professional Services was asked to build a mechanism that detects inappropriate language (toxic speech) within online gaming player interactions. Unfortunately, as in the real world, not all players communicate appropriately and respectfully.

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AWS Machine Learning Blog

JANUARY 6, 2023

The recently published IDC MarketScape: Asia/Pacific (Excluding Japan) AI Life-Cycle Software Tools and Platforms 2022 Vendor Assessment positions AWS in the Leaders category. AWS met the criteria and was evaluated by IDC along with eight other vendors. AWS is positioned in the Leaders category based on current capabilities.

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AWS Machine Learning Blog

JULY 9, 2024

of its consolidated revenues during the years ended December 31, 2019, 2018 and 2017, respectively. Currently he helps customers in the financial service and insurance industry build machine learning solutions on AWS. Scott Mullins is Managing Director and General Manger of AWS’ Worldwide Financial Services organization.

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AWS Machine Learning Blog

MAY 21, 2024

Our technical solution At 20 Minutes, we’ve been using AWS since 2017, and we aim to build on top of serverless services whenever possible. Our CMS backend Nova is implemented using Amazon API Gateway and several AWS Lambda functions. Amazon DynamoDB serves as the primary database for 20 Minutes articles.

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AWS Machine Learning Blog

MAY 16, 2024

The main AWS services used are SageMaker, Amazon EMR , AWS CodeBuild , Amazon Simple Storage Service (Amazon S3), Amazon EventBridge , AWS Lambda , and Amazon API Gateway. Recommendation model using NCF NCF is an algorithm based on a paper presented at the International World Wide Web Conference in 2017.

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AWS Machine Learning Blog

FEBRUARY 6, 2024

We implemented the solution using the AWS Cloud Development Kit (AWS CDK). This synergy benefits users by providing a robust and scalable infrastructure to handle NLP tasks with the state-of-the-art models that Hugging Face offers, combined with the powerful and flexible ML services from AWS.

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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

SEPTEMBER 29, 2023

In late 2023, Planet announced a partnership with AWS to make its geospatial data available through Amazon SageMaker. Our results reveal that the classification from the KNN model is more accurately representative of the state of the current crop field in 2017 than the ground truth classification data from 2015.

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AWS Machine Learning Blog

NOVEMBER 9, 2023

In these two studies, commissioned by AWS, developers were asked to create a medical software application in Java that required use of their internal libraries. About the authors Qing Sun is a Senior Applied Scientist in AWS AI Labs and work on AWS CodeWhisperer, a generative AI-powered coding assistant.

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DataRobot Blog

OCTOBER 3, 2017

Finally, Clarity Insights created a joint solution on AWS CloudFormation templates allowing a point-and-click way to stand up a fully-functional data lake using Cloudera , Paxata , and Zoomdata optimized on Intel processors. The post 3 Major Trends at Strata New York 2017 appeared first on DataRobot AI Cloud. Try now for free.

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

Examples of other PBAs now available include AWS Inferentia and AWS Trainium , Google TPU, and Graphcore IPU. In 2017, the landmark paper “ Attention is all you need ” was published, which laid out a new deep learning architecture based on the transformer. Thirdly, the presence of GPUs enabled the labeled data to be processed.

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Dataconomy

APRIL 26, 2023

Macrometa Founded in 2017, privately held Macrometa offers its Global Data Network and edge computing platform to help developers build real-time applications and APIs. Cradlepoint’s commitment to innovation and its ability to deliver cutting-edge wireless solutions has placed it among the most prominent edge computing companies.

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AWS Machine Learning Blog

NOVEMBER 14, 2023

The solution also uses Amazon Bedrock , a fully managed service that makes foundation models (FMs) from Amazon and third-party model providers accessible through the AWS Management Console and APIs. or higher installed on either Linux, Mac, or a Windows Subsystem for Linux and an AWS account.

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AWS Machine Learning Blog

JUNE 8, 2023

LLMs are based on the Transformer architecture , a deep learning neural network introduced in June 2017 that can be trained on a massive corpus of unlabeled text. The AWS Lambda function uses the requests from the Amazon Lex bot or the QnABot to prepare the payload to invoke the SageMaker endpoint using LangChain.

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AWS Machine Learning Blog

MARCH 21, 2023

Amazon SageMaker geospatial capabilities —now generally available in the AWS Oregon Region—provide a new and much simpler solution to this problem. The notebooks and code with a deployment-ready implementation of the analyses shown in this post are available at the GitHub repository Guidance for Geospatial Insights for Sustainability on AWS.

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Towards AI

APRIL 19, 2024

Amazon (AWS) 👉Industry domain: Online retail and web services provider 👉Location: Over 175 Amazon fulfillment centers globally 👉Year founded: 1994 👉Key Products developed: Amazon Bedrock, Q, Code Whisperer, Sage Maker 👉Benefits: Fully managed generative AI service options, AWS free tier for experimentation 7.

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Dataconomy

SEPTEMBER 4, 2023

Downtime, like the AWS outage in 2017 that affected several high-profile websites, can disrupt business operations. Cloud platforms like AWS, Azure, and Google Cloud offer scalable resources that can be provisioned on-demand. Use ETL (Extract, Transform, Load) processes or data integration tools to streamline data ingestion.

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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. times since 2017.

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Towards AI

APRIL 4, 2024

and AWS via Coursera. Generative AI with Large Language Models (Coursera Course Notes) Generative AI with Large Language ModelsThe arrival of the transformers architecture in 2017, following the publication… abhinavkimothi.gumroad.com Available OpenAI LLMs Over the course of time, OpenAI has developed, released and improved several models.

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AWS Machine Learning Blog

AUGUST 16, 2023

The images document the land cover, or physical surface features, of ten European countries between June 2017 and May 2018. Because we use true color images during DINO training, we only upload the red (B04), green (B03), and blue (B02) bands: aws s3 cp final_ben_s2.parquet Machine Learning Engineer at AWS. tif" --include "_B03.tif"

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Towards AI

JULY 17, 2023

Colab was first introduced in 2017 as a research project by Google. More technically, Colab is a hosted Jupyter notebook service that requires no setup to use, while providing access free of charge to computing resources including GPUs”.

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AWS Machine Learning Blog

FEBRUARY 10, 2023

Advances in neural information processing systems 30 (2017). He helps AWS customers identify and build ML solutions to address their business challenges in areas such as logistics, personalization and recommendations, computer vision, fraud prevention, forecasting and supply chain optimization. Attention is all you need.” Jay Alammar.

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AWS Machine Learning Blog

MAY 5, 2023

This is a joint post co-written by AWS and Voxel51. For our example use case, we work with the Fashion200K dataset , released at ICCV 2017. To illustrate and walk you through the process in this post, we use the Fashion200K dataset released at ICCV 2017. A retail company is building a mobile app to help customers buy clothes.

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Cambridge Intelligence

OCTOBER 19, 2023

.” First release: 2017 Format: An open-source, hosted, native, property and RDF graph database Top 3 advantages: Built for cloud – Neptune is fully managed by AWS, meaning you can leave infrastructure challenges, updates, backups and other admin tasks to them.

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phData

NOVEMBER 8, 2024

2017 - Apache Iceberg Developed by Netflix, Iceberg addressed challenges like managing large datasets, schema evolution, and time travel (the ability to query historical data). However, they lacked support for transactional features, like updates and ACID compliance. It provided ACID transactions and built-in support for real-time analytics.

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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

OCTOBER 16, 2024

In this post, we highlight how the AWS Generative AI Innovation Center collaborated with SailPoint Technologies to build a generative AI-based coding assistant that uses Anthropic’s Claude Sonnet on Amazon Bedrock to help accelerate the development of software as a service (SaaS) connectors. link] swagger: '2.0'

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Alation

MAY 11, 2023

Much of this success is driven by our deepening partnerships with Snowflake , AWS , and Databricks , with whom we share hundreds of joint customers. This will enable us to better respond to growing regional market demand. The power of partnerships It takes a village to grow a company (and at this pace).

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Snorkel AI

MAY 24, 2023

chief data scientist, a role he held under President Barack Obama from 2015 to 2017. He was previously a senior leader at AWS, and the CTO of Analytics & ML at IBM. DJ Patil , general partner at GreatPoint Ventures, will have a fireside chat with Snorkel AI CEO Alex Ratner. Patil served as the first U.S.

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Snorkel AI

MAY 24, 2023

chief data scientist, a role he held under President Barack Obama from 2015 to 2017. He was previously a senior leader at AWS, and the CTO of Analytics & ML at IBM. DJ Patil , general partner at GreatPoint Ventures, will have a fireside chat with Snorkel AI CEO Alex Ratner. Patil served as the first U.S.

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Alation

MAY 11, 2023

Much of this success is driven by our deepening partnerships with Snowflake , AWS , and Databricks , with whom we share hundreds of joint customers. This will enable us to better respond to growing regional market demand. The power of partnerships It takes a village to grow a company (and at this pace).

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Flipboard

MARCH 23, 2023

All of these models are based on a technology called Transformers , which was invented by Google Research and Google Brain in 2017. Facebook/Meta’s LLaMA, which is smaller than GPT-3 and GPT-4, is thought to have taken roughly one million GPU hours to train, which would cost roughly $2 million on AWS.

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Tableau

OCTOBER 11, 2021

Samuel Parsons : Aw, come on! Previous Iron Viz finalist Jacob Olsufka’s 2017 MLB Pitcher Heatmaps is such a clever and clean visualization. It educated me that a minimalist design could convey a powerful story. It is also my favorite viz of all time. You can’t expect me to answer that.

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Tableau

OCTOBER 11, 2021

Samuel Parsons : Aw, come on! Previous Iron Viz finalist Jacob Olsufka’s 2017 MLB Pitcher Heatmaps is such a clever and clean visualization. It educated me that a minimalist design could convey a powerful story. It is also my favorite viz of all time. You can’t expect me to answer that.

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Mlearning.ai

AUGUST 6, 2023

That was in 2017. I also learnt about cloud computing, specifically, AWS. I also started on my data science journey by attending the Coursera specialization by Andrew Ng —  Deep Learning. It is a five-course series that takes over 100 hours of study (for a beginner) as well as figuring out the coding exercises.

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