Unite.AI

SEPTEMBER 16, 2024

It offers both open-source and enterprise/paid versions and facilitates big data management. Key Features: Seamless integration with cloud and on-premise environments, extensive data quality, and governance tools. Pros: Scalable, strong data governance features, support for big data. Visit Boomi → 8.

Data Integration 167

Data Integration ETL Big Data Automation 167

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.

Large Language Models 273

Large Language Models Automation Artificial Intelligence Artificial Intelligence 273

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.

Big Data Architect 159

Big Data Architect Big Data ML Generative AI 159

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.

LLM 108

LLM Large Language Models Natural Language Processing Machine Learning 108

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).

ETL 108

ETL DevOps LLM Generative AI 108

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.

Generative AI 87

Generative AI LLM AI AI 87

ODSC - Open Data Science

APRIL 4, 2024

Data Analytics in the Age of AI, When to Use RAG, Examples of Data Visualization with D3 and Vega, and ODSC East Selling Out Soon Data Analytics in the Age of AI Let’s explore the multifaceted ways in which AI is revolutionizing data analytics, making it more accessible, efficient, and insightful than ever before.

Data Science 52

Data Science ETL Big Data Machine Learning 52

TransOrg Analytics

AUGUST 9, 2024

Data Quality: Without proper governance, data quality can become an issue. Performance: Query performance can be slower compared to optimized data stores. Business Applications: Big Data Analytics : Supporting advanced analytics, machine learning, and artificial intelligence applications.

Machine Learning 52

Machine Learning ETL Big Data Data Quality 52

ODSC - Open Data Science

OCTOBER 9, 2024

Whether you’re working on front-end development, back-end logic, or even mobile apps, AI code generators can drastically reduce development time while improving productivity. Expect more features and enhancements in this domain, as companies continue to refine AI-driven code generation. How you might ask?

Software Engineer 40

Software Engineer Software Development DevOps Machine Learning 40

Flipboard

NOVEMBER 22, 2024

Troubleshooting these production issues requires extensive analysis of logs and metrics, often leading to extended downtimes and delayed insights from critical data pipelines. Today, we are excited to announce the preview of generative AI troubleshooting for Spark in AWS Glue.

Generative AI 143

Generative AI Software Development ETL Big Data Architect 143

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. Amazon Bedrock is the easiest way to build and scale generative AI applications with foundation models (FMs).

ETL 157

ETL Prompt Engineering Prompt Engineer Generative AI 157

AWS Machine Learning Blog

SEPTEMBER 18, 2024

What Zeta has accomplished in AI/ML In the fast-evolving landscape of digital marketing, Zeta Global stands out with its groundbreaking advancements in artificial intelligence. Using AI, Zeta Global has revolutionized how brands connect with their audiences, offering solutions that aren’t just innovative, but also incredibly effective.

Machine Learning 109

Machine Learning Data Scientist ML Data Ingestion 109

AWS Machine Learning Blog

AUGUST 2, 2024

Generative artificial intelligence (AI) is rapidly emerging as a transformative force, poised to disrupt and reshape businesses of all sizes and across industries. As with all other industries, the energy sector is impacted by the generative AI paradigm shift, unlocking opportunities for innovation and efficiency.

Generative AI 108

Generative AI LLM Machine Learning Data Scientist 108

Flipboard

MARCH 21, 2025

Traditionally, answering this question would involve multiple data exports, complex extract, transform, and load (ETL) processes, and careful data synchronization across systems. SageMaker Unified Studio provides a unified experience for using data, analytics, and AI capabilities.

Metadata 135

Metadata ETL Data Analysis Big Data 135

AWS Machine Learning Blog

NOVEMBER 12, 2024

Agmatix is an Agtech company pioneering data-driven solutions for the agriculture industry that harnesses advanced AI technologies, including generative AI, to expedite R&D processes, enhance crop yields, and advance sustainable agriculture. This post is co-written with Etzik Bega from Agmatix.

Generative AI 101

Generative AI Prompt Engineering Prompt Engineer AI 101

Flipboard

NOVEMBER 27, 2024

Enterprises are facing challenges in accessing their data assets scattered across various sources because of increasing complexities in managing vast amount of data. Traditional search methods often fail to provide comprehensive and contextual results, particularly for unstructured data or complex queries.

Metadata 148

Metadata Auto-complete Data Discovery ML Engineer 148

AWS Machine Learning Blog

JANUARY 7, 2025

The answer lay in using generative AI through Amazon Bedrock Flows, enabling them to build an automated, intelligent request handling system that would transform their client service operations. For more information, refer to Build an end-to-end generative AI workflow with Amazon Bedrock Flows.

Generative AI 95

Generative AI Automation Data Extraction ETL 95