AWS Machine Learning Blog

MARCH 5, 2025

Generative AI question-answering applications are pushing the boundaries of enterprise productivity. These assistants can be powered by various backend architectures including Retrieval Augmented Generation (RAG), agentic workflows, fine-tuned large language models (LLMs), or a combination of these techniques.

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ODSC - Open Data Science

FEBRUARY 19, 2025

In the world of AI-driven data workflows, Brij Kishore Pandey, a Principal Engineer at ADP and a respected LinkedIn influencer, is at the forefront of integrating multi-agent systems with Generative AI for ETL pipeline orchestration. ETL ProcessBasics So what exactly is ETL?

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IBM Journey to AI blog

MARCH 14, 2024

This service streamlines data management for AI workloads across hybrid cloud environments and facilitates the scaling of Db2 databases on AWS with minimal effort. Also, IBM Consulting® and AWS have collaborated to help mutual clients to operationalize and derive value from their data for generative AI (gen AI) use cases. 

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AWS Machine Learning Blog

JUNE 18, 2024

This post presents a solution that uses a generative artificial intelligence (AI) to standardize air quality data from low-cost sensors in Africa, specifically addressing the air quality data integration problem of low-cost sensors. Qiong (Jo) Zhang , PhD, is a Senior Partner Solutions Architect at AWS, specializing in AI/ML.

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AWS Machine Learning Blog

NOVEMBER 20, 2024

In this post, we explore how you can use Amazon Q Business , the AWS generative AI-powered assistant, to build a centralized knowledge base for your organization, unifying structured and unstructured datasets from different sources to accelerate decision-making and drive productivity. Akchhaya Sharma is a Sr.

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AWS Machine Learning Blog

MARCH 27, 2025

In this post, we explore how you can use Amazon Bedrock to generate high-quality categorical ground truth data, which is crucial for training machine learning (ML) models in a cost-sensitive environment. Lets look at how generative AI can help solve this problem. The same ETL workflows were running fine before the upgrade.

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AI News

SEPTEMBER 26, 2023

Our composable CDP ensures your data is AI-ready, helping you collect, clean, and activate customer data with our open, API-first platform and 450+ pre-built connectors that enable you to start with data anywhere and activate it everywhere. AN: What will Twilio be sharing with the audience at this year’s AI & Big Data Expo Europe?

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AWS Machine Learning Blog

SEPTEMBER 1, 2023

Nowadays, the majority of our customers is excited about large language models (LLMs) and thinking how generative AI could transform their business. In this post, we discuss how to operationalize generative AI applications using MLOps principles leading to foundation model operations (FMOps).

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NVIDIA

JUNE 12, 2024

Databricks Leverages NVIDIA’s Full Stack to Accelerate Generative AI Applications To unlock all that intelligence, Huang and Ghodsi announced the integration of NVIDIA’s accelerated computing with Databricks Photon, Databricks’ engine for fast data processing, designed to power Databricks SQL with top-tier performance and cost efficiency.

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ODSC - Open Data Science

MARCH 12, 2025

AI engineering extended this by integrating AI systems more deeply into software engineering pipelines, making it a crucial field as AI applications became more sophisticated and embedded in real-world systems. 20212022: Transformer-based models took center stage, with GPT-3 driving conversations around text generation.

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AWS Machine Learning Blog

DECEMBER 13, 2023

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon with a single API, along with a broad set of capabilities you need to build generative AI applications.

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Marktechpost

JUNE 15, 2024

Lightski provides a comprehensive AI analytics platform, including your database and user interface, allowing clients to enjoy cutting-edge generative AI. Data analysis powered by AI is a rare example of a useful generative AI use case.

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Unite.AI

SEPTEMBER 16, 2024

Key Features: Extensive extract, transform, and load (ETL) functions, data integration, and data preparation – all in one platform. It’s designed for enterprises looking to leverage generative AI (GenAI). It provides a drag-and-drop graphical UI for building data pipelines and is deployable on-premises and on the cloud.

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Unite.AI

SEPTEMBER 22, 2023

Our product is one of those that is able to do the entire automation including the ETL pipelines and data modeling and loading data into your star schemas or data wall automatically and also maintaining it using CDC. We are internally using Open AI and now going with Lama too and other large language models with a low-rank adapt adaption.

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Unite.AI

SEPTEMBER 16, 2024

Key Features: Extensive extract, transform, and load (ETL) functions, data integration, and data preparation – all in one platform. It’s designed for enterprises looking to leverage generative AI (GenAI). It provides a drag-and-drop graphical UI for building data pipelines and is deployable on-premises and on the cloud.

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AWS Machine Learning Blog

JANUARY 7, 2025

Further considerations Using existing TMX files with generative AI-based translation systems can potentially improve the quality and consistency of translations. This involves extract, transform, and load (ETL) pipelines able to parse the XML structure, handle encoding issues, and add metadata.

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AWS Machine Learning Blog

FEBRUARY 21, 2025

Previously, he was a Data & Machine Learning Engineer at AWS, where he worked closely with customers to develop enterprise-scale data infrastructure, including data lakes, analytics dashboards, and ETL pipelines. He specializes in building scalable machine learning infrastructure, distributed systems, and containerization technologies.

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AWS Machine Learning Blog

SEPTEMBER 6, 2024

This post focuses on evaluating and interpreting metrics using FMEval for question answering in a generative AI application. Evaluation for question answering in a generative AI application A generative AI pipeline can have many subcomponents, such as a RAG pipeline.

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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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TheSequence

MAY 21, 2023

. 📝 Editorial: The Undisputed Champion of Open Source Generative AI Stability AI is synonymous with open-source generative AI. The release of Stable Diffusion was a sort of Sputnik moment in the evolution of open-source generative AI models. Union AI raised $19.1

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IBM Journey to AI blog

JULY 17, 2023

is our enterprise-ready next-generation studio for AI builders, bringing together traditional machine learning (ML) and new generative AI capabilities powered by foundation models. With watsonx.ai, businesses can effectively train, validate, tune and deploy AI models with confidence and at scale across their enterprise.

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Flipboard

DECEMBER 11, 2024

SageMaker Unied Studio is an integrated development environment (IDE) for data, analytics, and AI. Discover your data and put it to work using familiar AWS tools to complete end-to-end development workflows, including data analysis, data processing, model training, generative AI app building, and more, in a single governed environment.

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NVIDIA

AUGUST 29, 2023

As generative AI and large language models (LLMs) continue to drive innovations, compute requirements for training and inference have grown at an astonishing pace. To meet that need, Google Cloud today announced the general availability of its new A3 instances, powered by NVIDIA H100 Tensor Core GPUs.

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AWS Machine Learning Blog

JUNE 25, 2024

With Amazon Bedrock, developers can experiment, evaluate, and deploy generative AI applications without worrying about infrastructure management. Its enterprise-grade security, privacy controls, and responsible AI features enable secure and trustworthy generative AI innovation at scale.

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AWS Machine Learning Blog

FEBRUARY 21, 2025

Data refinement: Raw data is refined into consumable layers (raw, processed, conformed, and analytical) using a combination of AWS Glue extract, transform, and load (ETL) jobs and EMR jobs. Sajjan collaborates closely with Rocket Companies to advance its mission of building an AI-fueled homeownership platform to Help Everyone Home.

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IBM Journey to AI blog

JULY 3, 2024

By 2026, over 80% of enterprises will deploy AI APIs or generative AI applications. AI models and the data on which they’re trained and fine-tuned can elevate applications from generic to impactful, offering tangible value to customers and businesses.

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AWS Machine Learning Blog

OCTOBER 11, 2024

Figure: AI chatbot workflow Archiving and reporting layer The archiving and reporting layer handles streaming, storing, and extracting, transforming, and loading (ETL) operational event data. The chatbot handles chat sessions and context. It also prepares a data lake for BI dashboards and reporting analysis.

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AWS Machine Learning Blog

JANUARY 10, 2024

Shamika Ariyawansa , serving as a Senior AI/ML Solutions Architect in the Healthcare and Life Sciences division at Amazon Web Services (AWS),specializes in Generative AI, with a focus on Large Language Model (LLM) training, inference optimizations, and MLOps (Machine Learning Operations).

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AWS Machine Learning Blog

AUGUST 4, 2023

With Einstein Studio, a gateway to AI tools on the data platform, admins and data scientists can effortlessly create models with a few clicks or using code. Einstein Studio’s bring your own model (BYOM) experience provides the capability to connect custom or generative AI models from external platforms such as SageMaker to Data Cloud.

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AWS Machine Learning Blog

JULY 6, 2023

Alternatively, a service such as AWS Glue or a third-party extract, transform, and load (ETL) tool can be used for data transfer. The agent can be installed on Amazon Elastic Compute Cloud (Amazon EC2) or AWS Lambda. The following diagram illustrates the architecture for data access options.

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Marktechpost

JULY 5, 2024

It covers advanced topics, including scikit-learn for machine learning, statistical modeling, software engineering practices, and data engineering with ETL and NLP pipelines. Students learn to train agents for virtual navigation, generate financial trading strategies, and tackle multi-agent RL scenarios.

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ODSC - Open Data Science

FEBRUARY 6, 2025

Explore the must-attend sessions and cutting-edge tracks designed to equip AI practitioners, data scientists, and engineers with the latest advancements in AI and machine learning. We discuss the open-source Guardrails AI and how you can use it to safeguard your AIapps. Register by Friday for 50%off!

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ODSC - Open Data Science

APRIL 4, 2024

BrainBox AI Unveils ARIA: an AI-Powered Virtual Building Assistant For a Greener Future BrainBox has introduced ARIA, a generative AI-powered virtual building assistant that they hope will help secure a greener future. Check out these Vega and D3 data visualization examples that will show you the power of data viz.

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AWS Machine Learning Blog

APRIL 16, 2024

To learn more about SageMaker Studio JupyterLab Spaces, refer to Boost productivity on Amazon SageMaker Studio: Introducing JupyterLab Spaces and generative AI tools. You can use these connections for both source and target data, and even reuse the same connection across multiple crawlers or extract, transform, and load (ETL) jobs.

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ODSC - Open Data Science

JANUARY 11, 2024

Pioneering Data Observability: Data, Code, Infrastructure, & AI What’s in store for the future of data reliability? AI’s Impact on Businesses in 2024 by Use Case Here, we’ll explore a few different AI use cases, such as implementing generative AI and improved analytics, and how your business can gain an advantage by using AI.

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Pickl AI

DECEMBER 10, 2024

Summary : Data Analytics trends like generative AI, edge computing, and Explainable AI redefine insights and decision-making. Key Takeaways Generative AI simplifies data insights, enabling actionable decision-making and enhancing data storytelling. Below are three key technologies revolutionising Data Analytics.

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TransOrg Analytics

AUGUST 9, 2024

Complex ETL Processes: Requires complex Extract, Transform, Load (ETL) processes to load data. Cons: Costly: Can be expensive to implement and maintain. Rigid Structure : Less flexible in handling unstructured data compared to data lakes. Business Applications Business Intelligence : Supporting enterprise-wide reporting and analytics.

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