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Tag: Amazon Athena

Supercharge your AI team with Amazon SageMaker Studio: A comprehensive view of Deutsche Bahn’s AI platform transformation | Amazon Web Services

AI’s growing influence in large organizations brings crucial challenges in managing AI platforms. These include developing a scalable and operationally efficient platform that adheres...

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Modernizing data science lifecycle management with AWS and Wipro | Amazon Web Services

This post was written in collaboration with Bhajandeep Singh and Ajay Vishwakarma from Wipro’s AWS AI/ML Practice. Many organizations have been using a combination...

Identify cybersecurity anomalies in your Amazon Security Lake data using Amazon SageMaker | Amazon Web Services

Customers are faced with increasing security threats and vulnerabilities across infrastructure and application resources as their digital footprint has expanded and the business impact...

Streamlining ETL data processing at Talent.com with Amazon SageMaker | Amazon Web Services

This post is co-authored by Anatoly Khomenko, Machine Learning Engineer, and Abdenour Bezzouh, Chief Technology Officer at Talent.com. Established in 2011, Talent.com aggregates paid...

Accelerate data preparation for ML in Amazon SageMaker Canvas | Amazon Web Services

Data preparation is a crucial step in any machine learning (ML) workflow, yet it often involves tedious and time-consuming tasks. Amazon SageMaker Canvas now...

Accelerating AI/ML development at BMW Group with Amazon SageMaker Studio | Amazon Web Services

This post is co-written with Marc Neumann, Amor Steinberg and Marinus Krommenhoek from BMW Group. The BMW Group – headquartered in Munich, Germany –...

Build well-architected IDP solutions with a custom lens – Part 5: Cost optimization | Amazon Web Services

Building a production-ready solution in the cloud involves a series of trade-off between resources, time, customer expectation, and business outcome. The AWS Well-Architected Framework...

Principal Financial Group uses AWS Post Call Analytics solution to extract omnichannel customer insights | Amazon Web Services

An established financial services firm with over 140 years in business, Principal is a global investment management leader and serves more than 62 million...

DTCC Takes OTC Derivatives Data Access to the Cloud

DTCC has introduced a new service offering real-time access to over-the-counter (OTC) derivatives transaction data through cloud technology. Dubbed OTC Direct Connect, the new offering caters...

Automatically redact PII for machine learning using Amazon SageMaker Data Wrangler | Amazon Web Services

Customers increasingly want to use deep learning approaches such as large language models (LLMs) to automate the extraction of data and insights. For many...

Speed up your time series forecasting by up to 50 percent with Amazon SageMaker Canvas UI and AutoML APIs | Amazon Web Services

We’re excited to announce that Amazon SageMaker Canvas now offers a quicker and more user-friendly way to create machine learning models for time-series forecasting. SageMaker Canvas is...

Generative AI and multi-modal agents in AWS: The key to unlocking new value in financial markets | Amazon Web Services

Multi-modal data is a valuable component of the financial industry, encompassing market, economic, customer, news and social media, and risk data. Financial organizations generate,...

Visualize an Amazon Comprehend analysis with a word cloud in Amazon QuickSight | Amazon Web Services

Searching for insights in a repository of free-form text documents can be like finding a needle in a haystack. A traditional approach might be...

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