Generative Data Intelligence

Tag: ETL

FMOps/LLMOps: Operationalize generative AI and differences with MLOps | Amazon Web Services

Nowadays, the majority of our customers is excited about large language models (LLMs) and thinking how generative AI could transform their business. However, bringing...

Apply fine-grained data access controls with AWS Lake Formation in Amazon SageMaker Data Wrangler | Amazon Web Services

Amazon SageMaker Data Wrangler reduces the time it takes to collect and prepare data for machine learning (ML) from weeks to minutes. You can...

Bring your own AI using Amazon SageMaker with Salesforce Data Cloud | Amazon Web Services

This post is co-authored by Daryl Martis, Director of Product, Salesforce Einstein AI. We’re excited to announce Amazon SageMaker and Salesforce Data Cloud...

Integrate SaaS platforms with Amazon SageMaker to enable ML-powered applications | Amazon Web Services

Amazon SageMaker is an end-to-end machine learning (ML) platform with wide-ranging features to ingest, transform, and measure bias in data, and train, deploy, and...

Analyze Amazon SageMaker spend and determine cost optimization opportunities based on usage, Part 3: Processing and Data Wrangler jobs | Amazon Web Services

In 2021, we launched AWS Support Proactive Services as part of the AWS Enterprise Support plan. Since its introduction, we’ve helped hundreds of customers...

Automate Data Extraction from Patient Registration Forms

Are you looking to extract data from patient registration forms? Try Nanonets OCR software to extract fields with more than 98%+ accuracy. ...

Build an image search engine with Amazon Kendra and Amazon Rekognition

In this post, we discuss a machine learning (ML) solution for complex image searches using Amazon Kendra and Amazon Rekognition. Specifically, we use the...

FinovateSpring 2023 Sneak Peek: AI Squared

A look at the companies demoing at FinovateSpring in San Francisco on May 23 and 24. Register today and save your spot. AI...

Identify objections in customer conversations using Amazon Comprehend to enhance customer experience without ML expertise

According to a PWC report, 32% of retail customers churn after one negative experience, and 73% of customers say that customer experience influences their...

Data Quality – The Tipping Point (Parvathy Menon)

“Data is a precious thing and will last longer than the systems themselves.” So said Tim Berners-Lee, the inventor of the World Wide Web.  ‘Precious’...

AI/ML-driven actionable insights and themes for Amazon third-party sellers using AWS

The Amazon International Seller Growth (ISG) team runs the CSBA (Customer Service by Amazon) program that supports over 200,000 third-party Merchant Fulfilled Network (MFN)...

How Kakao Games automates lifetime value prediction from game data using Amazon SageMaker and AWS Glue

This post is co-written with Suhyoung Kim, General Manager at KakaoGames Data Analytics Lab. Kakao Games is a top video game publisher and developer...

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