AWS Machine Learning Blog

DECEMBER 4, 2024

Building generative AI applications presents significant challenges for organizations: they require specialized ML expertise, complex infrastructure management, and careful orchestration of multiple services. The following diagram illustrates the conceptual architecture of an AI assistant with Amazon Bedrock IDE.

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AWS Machine Learning Blog

DECEMBER 4, 2024

Businesses are under pressure to show return on investment (ROI) from AI use cases, whether predictive machine learning (ML) or generative AI. Only 54% of ML prototypes make it to production, and only 5% of generative AI use cases make it to production. This post is cowritten with Isaac Cameron and Alex Gnibus from Tecton.

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How to Learn Machine Learning

DECEMBER 24, 2024

If you’re diving into the world of machine learning, AWS Machine Learning provides a robust and accessible platform to turn your data science dreams into reality. Today, we’ll explore why Amazon’s cloud-based machine learning services could be your perfect starting point for building AI-powered applications.

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AWS Machine Learning Blog

OCTOBER 24, 2024

Amazon Bedrock Agents helps you accelerate generative AI application development by orchestrating multistep tasks. Amazon Bedrock Agents is instrumental in customization and tailoring apps to help meet specific project requirements while protecting private data and securing their applications.

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AWS Machine Learning Blog

OCTOBER 24, 2024

Prerequisites Before you begin, make sure you have the following prerequisites in place: An AWS account and role with the AWS Identity and Access Management (IAM) privileges to deploy the following resources: IAM roles. A provisioned or serverless Amazon Redshift data warehouse. Choose Create stack. Sohaib Katariwala is a Sr.

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AWS Machine Learning Blog

MARCH 5, 2025

Prerequisites SageMaker domain access with required IAM permissions: You need to have access to a SageMaker domain with the necessary AWS Identity and Access Management (IAM) permissions to create and manage resources. See quick setup for Amazon SageMaker AI for instructions about setting up a SageMaker domain.

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Flipboard

JUNE 3, 2025

To solve this, Noodoe has integrated large language models (LLMs) through Amazon Bedrock and Amazon Bedrock Agents to deliver intelligent automation, real-time data access, and multilingual support. In this post, we explore how Noodoe uses AI and Amazon Bedrock to optimize EV charging operations.

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AWS Machine Learning Blog

FEBRUARY 21, 2025

Whether youre new to AI development or an experienced practitioner, this post provides step-by-step guidance and code examples to help you build more reliable AI applications. Lets assume that the question What date will AWS re:invent 2024 occur? If the question was Whats the schedule for AWS events in December?,

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AWS Machine Learning Blog

OCTOBER 23, 2024

The landscape of enterprise application development is undergoing a seismic shift with the advent of generative AI. This intuitive platform enables the rapid development of AI-powered solutions such as conversational interfaces, document summarization tools, and content generation apps through a drag-and-drop interface.

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AWS Machine Learning Blog

DECEMBER 18, 2024

AIs transformative impact extends throughout the modern business landscape, with telecommunications emerging as a key area of innovation. Fastweb , one of Italys leading telecommunications operators, recognized the immense potential of AI technologies early on and began investing in this area in 2019.

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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

OCTOBER 18, 2023

Purina used artificial intelligence (AI) and machine learning (ML) to automate animal breed detection at scale. The solution focuses on the fundamental principles of developing an AI/ML application workflow of data preparation, model training, model evaluation, and model monitoring.

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AWS Machine Learning Blog

SEPTEMBER 18, 2024

The ZMP analyzes billions of structured and unstructured data points to predict consumer intent by using sophisticated artificial intelligence (AI) to personalize experiences at scale. Further expanding the capabilities of AI in marketing, Zeta Global has developed AI Lookalikes.

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Flipboard

MAY 21, 2025

The University of British Columbia (UBC) Cloud Innovation Centre (CIC) has become a hub for innovation by prototyping generative AI applications in collaboration with public sector sponsors. Importance of rapid prototyping in AI development Rapid prototyping is critical in AI development.

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IBM Journey to AI blog

MAY 15, 2024

Business leaders risk compromising their competitive edge if they do not proactively implement generative AI (gen AI). However, businesses scaling AI face entry barriers. This situation will exacerbate data silos, increase costs and complicate the governance of AI and data workloads.

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Flipboard

NOVEMBER 24, 2023

To pave the way for the growth of AI, BMW Group needed to make a leap regarding scalability and elasticity while reducing operational overhead, software licensing, and hardware management. These platforms were too limited regarding CPU, GPU, and memory to allow the scalability of AI at BMW Group.

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AWS Machine Learning Blog

JUNE 18, 2024

On December 6 th -8 th 2023, the non-profit organization, Tech to the Rescue , in collaboration with AWS, organized the world’s largest Air Quality Hackathon – aimed at tackling one of the world’s most pressing health and environmental challenges, air pollution. As always, AWS welcomes your feedback.

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AWS Machine Learning Blog

FEBRUARY 23, 2023

For more information about distributed training with SageMaker, refer to the AWS re:Invent 2020 video Fast training and near-linear scaling with DataParallel in Amazon SageMaker and The science behind Amazon SageMaker’s distributed-training engines. In a later post, we will do a deep dive into the DNNs used by ADAS systems.

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AWS Machine Learning Blog

MARCH 1, 2023

In this post, we share how Kakao Games and the Amazon Machine Learning Solutions Lab teamed up to build a scalable and reliable LTV prediction solution by using AWS data and ML services such as AWS Glue and Amazon SageMaker. The ETL pipeline, MLOps pipeline, and ML inference should be rebuilt in a different AWS account.

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Data Science Dojo

FEBRUARY 20, 2023

It is used by businesses across industries for a wide range of applications, including fraud prevention, marketing automation, customer service, artificial intelligence (AI), chatbots, virtual assistants, and recommendations. AWS SageMaker also has a CLI for model creation and management.

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AWS Machine Learning Blog

AUGUST 12, 2024

Instead, organizations are increasingly looking to take advantage of transformative technologies like machine learning (ML) and artificial intelligence (AI) to deliver innovative products, improve outcomes, and gain operational efficiencies at scale.

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AWS Machine Learning Blog

MARCH 14, 2024

Generative artificial intelligence (generative AI) has enabled new possibilities for building intelligent systems. Recent improvements in Generative AI based large language models (LLMs) have enabled their use in a variety of applications surrounding information retrieval. In the following figure we demonstrate our end-to-end pipeline.

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Pickl AI

DECEMBER 26, 2024

AI, serverless computing, and edge technologies redefine cloud-based Data Science workflows. Major Cloud Platforms for Data Science Amazon Web Services ( AWS ), Microsoft Azure, and Google Cloud Platform (GCP) dominate the cloud market with their comprehensive offerings. Below are key strategies for achieving this.

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AWS Machine Learning Blog

FEBRUARY 1, 2024

Data is the foundation to capturing the maximum value from AI technology and solving business problems quickly. To unlock the potential of generative AI technologies, however, there’s a key prerequisite: your data needs to be appropriately prepared. Prerequisites Before starting, you need an AWS account.

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ODSC - Open Data Science

APRIL 23, 2025

In todays fast-moving machine learning and AI landscape, access to top-tier tools and infrastructure is a game-changer for any data science team. Thats why AI creditsvouchers that grant free or discounted access to cloud services and machine learning platformsare increasingly valuable. AI Credit Partners: Whos OfferingWhat?

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AWS Machine Learning Blog

FEBRUARY 5, 2025

The following diagram illustrates the data pipeline for indexing and query in the foundational search architecture. The listing indexer AWS Lambda function continuously polls the queue and processes incoming listing updates. He has specialization in data strategy, machine learning and Generative AI.

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AWS Machine Learning Blog

DECEMBER 5, 2023

This post is written in collaboration with Balaji Chandrasekaran, Jennifer Cwagenberg and Andrew Sansom and Eiman Ebrahimi from Protopia AI. AWS is especially well suited to provide enterprises the tools necessary for deploying LLMs at scale to enable critical decision-making.

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Precisely

APRIL 11, 2024

In an era where cloud technology is not just an option but a necessity for competitive business operations, the collaboration between Precisely and Amazon Web Services (AWS) has set a new benchmark for mainframe and IBM i modernization. Solution page Precisely on Amazon Web Services (AWS) Precisely brings data integrity to the AWS cloud.

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AWS Machine Learning Blog

FEBRUARY 24, 2023

AWS recently released Amazon SageMaker geospatial capabilities to provide you with satellite imagery and geospatial state-of-the-art machine learning (ML) models, reducing barriers for these types of use cases. In the following sections, we dive into each pipeline in more detail.

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AWS Machine Learning Blog

AUGUST 22, 2024

Building a deployment pipeline for generative artificial intelligence (AI) applications at scale is a formidable challenge because of the complexities and unique requirements of these systems. Generative AI models are constantly evolving, with new versions and updates released frequently.

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AWS Machine Learning Blog

OCTOBER 7, 2024

A generative AI Slack chat assistant can help address these challenges by providing a readily available, intelligent interface for users to interact with and obtain the information they need. See Data source connectors for a list of supported data source connectors for Amazon Kendra. through the Slack app.

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AWS Machine Learning Blog

SEPTEMBER 24, 2024

To address this challenge, the contact center team at DoorDash wanted to harness the power of generative AI to deploy a solution quickly, and at scale, while maintaining their high standards for issue resolution and customer satisfaction. In this post, we show how you can deploy generative AI agents in your contact center using AWS services.

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O'Reilly Media

SEPTEMBER 15, 2021

In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. The average salary for data and AI professionals who responded to the survey was $146,000. Cloud certifications, specifically in AWS and Microsoft Azure, were most strongly associated with salary increases.

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AWS Machine Learning Blog

FEBRUARY 13, 2024

SageMaker Feature Store now makes it effortless to share, discover, and access feature groups across AWS accounts. With this launch, account owners can grant access to select feature groups by other accounts using AWS Resource Access Manager (AWS RAM). Their task is to construct and oversee efficient data pipelines.

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AWS Machine Learning Blog

AUGUST 8, 2024

As one of the largest AWS customers, Twilio engages with data, artificial intelligence (AI), and machine learning (ML) services to run their daily workloads. Data is the foundational layer for all generative AI and ML applications. Access to Amazon Bedrock FMs isn’t granted by default.

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AWS Machine Learning Blog

AUGUST 21, 2024

By walking through this specific implementation, we aim to showcase how you can adapt batch inference to suit various data processing needs, regardless of the data source or nature. Prerequisites To use the batch inference feature, make sure you have satisfied the following requirements: An active AWS account.

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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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