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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 As CEO and co-founder Adam Wenchel explains, data scientists build and test machine learning models in the lab under ideal conditions, but as these models are put into production, the performance can begin to deteriorate under real world scrutiny.

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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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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 . Benchmark tests indicate that Gemini Pro demonstrates superior speed in token processing compared to its competitors like GPT-4.

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Build and deploy a UI for your generative AI applications with AWS and Python

AWS Machine Learning - AI

Traditionally, building frontend and backend applications has required knowledge of web development frameworks and infrastructure management, which can be daunting for those with expertise primarily in data science and machine learning. Fortunately, you can run and test your application locally before deploying it to AWS.

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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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Redefining customer experience: How AI is revolutionizing Mastercard

CIO

Leveraging machine learning and AI, the system can accurately predict, in many cases, customer issues and effectively routes cases to the right support agent, eliminating costly, time-consuming manual routing and reducing resolution time to one day, on average. Companies and teams need to continue testing and learning.

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Why your IT team needs to upgrade its digital employee experience (DEX)

CIO

To improve digital employee experience, start with IT employees “IT leaders can use the IT organization as a test bed to prove the effectiveness of proactively managing DEX,” says Goeson. A higher percentage of executive leaders than other information workers report experiencing sub-optimal DEX.

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