Systems | Development | Analytics | API | Testing

moesif

Monitoring Cost and Consumption of AI APIs and Apps

Nov 7, 2024 By Dylan Frankcom In Moesif
The rise of AI has transformed how businesses operate, creating a surge in demand for AI-driven APIs, particularly those that leverage Large Language Models (LLMs). These APIs are at the heart of many modern applications, driving automation, customer interaction, and sophisticated data analysis. However, with this increased use comes a need for organizations to effectively monitor and manage the costs and consumption of these APIs.
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tricentis

Introducing qTest Copilot: Your AI-powered test generation assistant

Nov 7, 2024 By David Quintero In Tricentis
We are excited to announce the launch of Tricentis qTest Copilot, a generative AI assistant that helps save significant time in the creation of manual test cases. qTest Copilot is seamlessly embedded into the Tricentis qTest user interface as an expansion of our unified test management platform.
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bitrise

Apple Intelligence is here. What does it mean for developers, consumers, and innovation?

Nov 7, 2024 By Barnabas Birmacher In Bitrise
It’s often said that being first to market with a new product or idea is the key to success, and in many cases it is. But Apple has never chased the so-called first-mover advantage. Apple wasn't the first to release an MP3 player or even the first on the market with a smartphone, yet it has consistently redefined what's possible with technology.
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WSO2

Empowering Enterprise GenAI Development with New Choreo Features

Nov 7, 2024 By Nadheesh Jihan In WSO2
Choreo is a powerful internal developer platform (IDP) as a service built for enterprises, offering a comprehensive suite of tools for CI/CD, API management, DevOps, observability, and business insights. It provides an all-in-one solution for building, deploying, governing, and monitoring enterprise applications—eliminating the need for developers to build complex CI/CD workflows or set up custom platforms.
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Transforming Test Automation with AI and Machine Learning | Larry Goddard | #Testflix2024

Nov 6, 2024 By The Test Tribe In The Test Tribe
In this session, we’re getting into how AI and machine learning are transforming test automation from a traditional, often repetitive process into something dynamic, efficient, and intelligent. It’s not just about speeding things up; it’s about creating smarter tests that adapt to changes, predict issues before they arise, and ultimately make your testing process more resilient. If you're looking to future-proof your testing strategies, this talk will give you the insight you need to do just that.
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New Challenges in Software Quality Brought by GenAI and LLMs | Federico Toledo | #Testflix2024

Nov 5, 2024 By The Test Tribe In The Test Tribe
In this compelling talk, Federico delves into the new challenges in software quality brought by the rise of Generative AI (GenAI) and Large Language Models (LLMs). As these advanced technologies become more integrated into applications, ensuring their quality presents unique hurdles. He explores the specific quality concerns associated with using LLMs, GenAI, and Retrieval-Augmented Generation (RAG), and discuss innovative testing approaches tailored to these systems. This session is designed to help you navigate these complexities, ensuring your applications not only meet but exceed quality standards.
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ClearML

Why CSPs Should Consider Using GPU-as-a-Service

Nov 4, 2024 By Erez Schnaider In ClearML
When it comes to building AI models, the process is often oversimplified as “just get a GPU and start building.” While securing access to GPUs can be a challenge, gaining access to GPU clusters is only the beginning of the journey. The real complexity lies in effectively leveraging GPU capabilities to deliver meaningful business impact.
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smartbear

Overcoming Challenges in AI Adoption

Oct 30, 2024 By Fitz Nowlan In SmartBear
AI is no longer just a buzzword – it’s the driving force behind the next wave of innovation in the software industry. Companies that embrace AI today are automating tasks, boosting efficiency, and unlocking new levels of productivity. However, as revolutionary as AI is, adopting it within technical software teams isn’t without its challenges. From skill shortages to navigating ethical dilemmas, businesses face a steep adoption curve.
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