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Session Takeover Bug in AWS Apache Airflow Reveals Larger Cloud Risk

A vulnerability in Amazon Web Services' (AWS) Managed Workflows for Apache Airflow (MWAA) could have allowed hackers to access users' sessions, perform remote code...

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Taking a Page From Data Scientists for Better Security

As organizations add more cybersecurity solutions to their toolboxes, they also increase the amount of data they must oversee. These tools produce massive amounts...

defi SOLUTIONS Announces New Partnership with Gestalt Tech for Data Warehousing Capabilities for Lenders

Ready-built data warehouse saves lenders time and money while giving a competitive advantage WESTLAKE, Texas–(BUSINESS WIRE)–#autofinance–defi SOLUTIONS is pleased to announce the addition of Gestalt...

Experience the new and improved Amazon SageMaker Studio | Amazon Web Services

Launched in 2019, Amazon SageMaker Studio provides one place for all end-to-end machine learning (ML) workflows, from data preparation, building and experimentation, training, hosting, and...

ALTR Closes $25M Series C Financing

PRESS RELEASEMELBOURNE, Fla., Nov. 15, 2023 /PRNewswire/ -- ALTR Solutions, Inc., the leading innovator of automated data governance and data security solutions, today announced that it has closed...

Governing the ML lifecycle at scale, Part 1: A framework for architecting ML workloads using Amazon SageMaker | Amazon Web Services

Customers of every size and industry are innovating on AWS by infusing machine learning (ML) into their products and services. Recent developments in generative...

Navigating the Non-Uniform Data Landscape: The Promise of Feature Stores

Hi all, Today we are continuing with our series of articles about data usage, AI/ ML modeling, and analytics in banking. Start. In today’s data-driven world, businesses...

Train and deploy ML models in a multicloud environment using Amazon SageMaker | Amazon Web Services

As customers accelerate their migrations to the cloud and transform their business, some find themselves in situations where they have to manage IT operations...

Unlock ML insights using the Amazon SageMaker Feature Store Feature Processor | Amazon Web Services

Amazon SageMaker Feature Store provides an end-to-end solution to automate feature engineering for machine learning (ML). For many ML use cases, raw data like...

Fintech and AI in Fraud Detection

The fight against fraud is never-ending in the evolving financial sector. The strategies used by fraudsters change as technology does. As a result of this dynamic, fintech...

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...

Use Amazon SageMaker Model Card sharing to improve model governance | Amazon Web Services

As Artificial Intelligence (AI) and Machine Learning (ML) technologies have become mainstream, many enterprises have been successful in building critical business applications powered by...

Use Amazon SageMaker Model Cards sharing to improve model governance | Amazon Web Services

As Artificial Intelligence (AI) and Machine Learning (ML) technologies have become mainstream, many enterprises have been successful in building critical business applications powered by...

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