Testing Related Topics 
Xebia
DECEMBER 21, 2024
But what if you want to test the API from your local machine or the cloud shell from the console? Conclusion When you develop an internal API or have an OpenSearch cluster that uses IAM for authentication and authorization, testing calls towards these endpoints can be challenging as you will need to create a signature.
Crunchbase News
NOVEMBER 20, 2024
When submitting a genetic test, one usually has a desired outcome in mind. Investing in DNA testing startups is much the same. On the flop front, one of the more high-profile disappointments for investors has been genetic testing provider 23andMe. That doesn’t mean the results will bear it out.
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CIO
NOVEMBER 19, 2024
Development teams starting small and building up, learning, testing and figuring out the realities from the hype will be the ones to succeed. In our real-world case study, we needed a system that would create test data. This data would be utilized for different types of application testing.
CIO
MARCH 11, 2025
These are standardized tests that have been specifically developed to evaluate the performance of language models. They not only test whether a model works, but also how well it performs its tasks. With each advance in the LLMs themselves, new tests are created to meet the increasing demands.
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Codebases evolve rapidly, and your test automation should keep pace. However, many teams struggle with brittle scripts and growing test debt, which hinder delivery and increase risk. This guide illustrates how engineering leaders leverage AI to enhance the resilience and scalability of testing.
CIO
APRIL 17, 2025
Launched in 2022, its the most-used gen AI tool in the enterprise, with 62% of respondents to the recent Wharton survey saying they currently use it and 28% saying they dont currently use it but are evaluating or testing it. Wharton found 40% of respondents to its survey are currently using Gemini, and 39% are evaluating or testing it.
CIO
APRIL 29, 2025
Smarter testing snuffs out debt hopefully before it starts Some developers are thinking bigger when it comes to applying AI tools to tech debt tasks. Take unit testing, for instance: an important tool for producing high-quality code that doesnt add tech debt but is often neglected in the race to deliver a minimum viable product.
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When test coverage falls behind release velocity, quality suffers, and your team feels the consequences. This guide outlines when it makes sense to outsource quality assurance (QA), the risks to watch for, and how to scale testing without increasing headcount or slowing down engineering.
Speaker: Holly Hester-Reilly, Founder and Product Management Coach, H2R Product Science
But too many teams don't know what to test, which leads to poorly designed experiments and unclear results. She’ll walk us through the entire process, from deciding what to test to sharing the results with stakeholders, to illustrate what strong experimentation practices look like and how they can be implemented in every organization.
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Apply tested plays to your funnel - Use real-world scenarios, triggers, actions and expected results to improve your entire funnel. Use our proven data-driven plays to grow your pipeline and crush your revenue targets. Close more deals with these winning plays!
Speaker: Tony Karrer, Ryan Barker, Grant Wiles, Zach Asman, & Mark Pace
Some takeaways include: How to test and evaluate results 📊 Why confidence scoring matters 🔐 How to assess cost and quality 🤖 Cross-platform cost vs. quality trade offs 🔀 and more!
Advertiser: ZoomInfo
Test your recruiter-brain with this crossword puzzle, which reveals the best ways to move forward in your efforts with every answer! You can solve your recruiting problems using new tools and data specifically designed to help do your job: find top passive talent and fill those open reqs – faster than you thought possible.
Speaker: Franziska Beeler, Head of Cloud Academy, and Tendayi Viki, Associate Partner, Strategyzer
When testing new business and product ideas, choosing the right experiment is just the beginning. After we have chosen our experiment, it’s important that we spend some time designing it well.
Speaker: Teresa Torres, Internationally Acclaimed Author, Speaker, and Coach at ProductTalk.org
interviewing customers, usability testing, experimenting) however, many CTOs will note that we are still stuck in a project world. Most product teams are starting to adopt discovery best practices (e.g. These methods are better than nothing, but how can we improve on this model?
Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
Key Learning Objectives: How to leverage human feedback and observability frameworks to detect when the system generates incorrect output and as the basis for accuracy improvements 📈 How the use of playgrounds integrated into the administrative console of the application can isolate the source of the error 🔍 How building a robust regression (..)
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