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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AWS Machine Learning Blog

FEBRUARY 1, 2024

Resilience plays a pivotal role in the development of any workload, and generative AI workloads are no different. There are unique considerations when engineering generative AI workloads through a resilience lens. In this post, we discuss the different stacks of a generative AI workload and what those considerations should be.

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AWS Machine Learning Blog

JUNE 13, 2023

Organizations can maximize the value of their modern data architecture with generative AI solutions while innovating continuously. The AI and language models must identify the appropriate data sources, generate effective SQL queries, and produce coherent responses with embedded results at scale.

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Database SQL AWS AI 101

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. In the following sections, we discuss the stages of the process in detail.

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AWS Machine Learning Blog

JANUARY 4, 2024

Generative AI has opened up a lot of potential in the field of AI. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) via a single API, enabling to easily build and scale Gen AI applications. What percentage of customers are from each region?”

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Flipboard

NOVEMBER 24, 2023

Many customers are building generative AI apps on Amazon Bedrock and Amazon CodeWhisperer to create code artifacts based on natural language. 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.

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AWS Machine Learning Blog

FEBRUARY 2, 2024

One of the most useful application patterns for generative AI workloads is Retrieval Augmented Generation (RAG). Because embeddings are an important source of data for NLP models in general and generative AI solutions in particular, we need a way to measure whether our embeddings are changing over time (drifting).

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Dataconomy

FEBRUARY 6, 2024

With the ability to analyze a vast amount of data in real-time, identify patterns, and detect anomalies, AI/ML-powered tools are enhancing the operational efficiency of businesses in the IT sector. Why does AI/ML deserve to be the future of the modern world? Let’s understand the crucial role of AI/ML in the tech industry.

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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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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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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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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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Heartbeat

DECEMBER 27, 2023

However, the emergence of the open-source Docker engine by Solomon Hykes in 2013 accelerated the adoption of the technology. The machine learning (ML) lifecycle defines steps to derive values to meet business objectives using ML and artificial intelligence (AI). What is Docker? Docker is the most popular container technology.

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Flipboard

APRIL 30, 2025

With the advent of generative AI solutions, a paradigm shift is underway across industries, driven by organizations embracing foundation models (FMs) to unlock unprecedented opportunities. FloQasts software (created by accountants, for accountants) brings AI and automation innovation into everyday accounting workflows.

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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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