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Arthur.ai snags $15M Series A to grow machine learning monitoring tool

TechCrunch

At a time when more companies are building machine learning models, Arthur.ai wants to help by ensuring the model accuracy doesn’t begin slipping over time, thereby losing its ability to precisely measure what it was supposed to. AWS announces SageMaker Clarify to help reduce bias in machine learning models.

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QuantrolOx uses machine learning to control qubits

TechCrunch

QuantrolOx , a new startup that was spun out of Oxford University last year, wants to use machine learning to control qubits inside of quantum computers. As with all machine learning problems, QuantrolOx needs to gather enough data to build effective machine learning models. million (or about $1.9

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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

Organizations are increasingly using multiple large language models (LLMs) when building generative AI applications. Although an individual LLM can be highly capable, it might not optimally address a wide range of use cases or meet diverse performance requirements.

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AI in action: Stories of how enterprises are transforming and modernizing

CIO

Generative and agentic artificial intelligence (AI) are paving the way for this evolution. Code Harbor automates current-state assessment, code transformation and optimization, as well as code testing and validation by relying on task-specific, finely tuned AI agents. The EXLerate.AI

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How AI and ML Can Accelerate and Optimize Software Development and Testing

Speaker: Eran Kinsbruner, Best-Selling Author, TechBeacon Top 30 Test Automation Leader & the Chief Evangelist and Senior Director at Perforce Software

While advancements in software development and testing have come a long way, there is still room for improvement. With new AI and ML algorithms spanning development, code reviews, unit testing, test authoring, and AIOps, teams can boost their productivity and deliver better software faster.

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Introducing Accelerator for Machine Learning (ML) Projects: Summarization with Gemini from Vertex AI

Cloudera

Were thrilled to announce the release of a new Cloudera Accelerator for Machine Learning (ML) Projects (AMP): Summarization with Gemini from Vertex AI . An AMP is a pre-built, high-quality minimal viable product (MVP) for Artificial Intelligence (AI) use cases that can be deployed in a single-click from Cloudera AI (CAI).

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Redefining customer experience: How AI is revolutionizing Mastercard

CIO

Our commitment to customer excellence has been instrumental to Mastercard’s success, culminating in a CIO 100 award this year for our project connecting technology to customer excellence utilizing artificial intelligence. Companies and teams need to continue testing and learning. We live in an age of miracles.