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Transform test planning with AI in Tricentis Test Management for Jira's latest release

AI is revolutionizing our working world. (It even helped us write this blog post.) And now, it can help you write your test plan. Our latest release of Tricentis Test Management (TTM) for Jira is equipped with a groundbreaking AI capability that has the power to revolutionize your test planning process. This game-changing feature saves valuable time by enabling users to generate test steps in just a few clicks, thanks to the power of artificial intelligence.

Don't Worry About ChatGPT Impacting Your Testing Career - Watch This! @sidharthshukla_SDET At QonfX

Hi everyone, welcome to this video on "How to use ChatGPT for Test Automation?" ChatGPT is a powerful tool that can help you create and run automated tests for your software applications. In this video, we will cover: By the end of this video, you will have a good understanding of how to use ChatGPT for test automation and how it can improve your testing efficiency and accuracy.

MLOps for Generative AI with MLRun

The influx of new tools like ChatGPT spark the imagination and highlight the importance of Generative AI and foundation models as the basis for modern AI applications. However, the rise of generative AI also brings a new set of MLOps challenges. Challenges like handling massive amounts of data, large scale computation and memory, complex pipelines, transfer learning, extensive testing, monitoring, and so on. In this 9 minute demo video, we share MLOps orchestration best practices and explore open source technologies available to help tackle these challenges.

ThoughtSpot Sage: data security with large language models

With the recent announcement of ThoughtSpot Sage, we launched a number of enhancements to our search capabilities including AI-generated answers, AI-powered search suggestions, and AI-assisted data modeling. In this article we will walk you through the steps we take to secure your data during the LLM interaction.

Overcoming Fear of the Unknown with Generative AI

The explosive rise of generative AI has prompted incredible excitement about its transformative potential, much like the advent of the Internet. But if like me, you’re old enough to remember what that looked like circa 1995, there was a lot we did not know at the time, creating uncertainty in both worlds of work and education on how to best leverage it, and whether providing unlimited access to employees or students was a good idea.

Introducing ClearGPT from ClearML

The first secure, enterprise-grade generative AI platform We have an exciting announcement! On Thursday, May 18, we released ClearGPT, the first generative AI platform that transcends enterprise ChatGPT challenges. ClearGPT is the only secure, enterprise-grade platform offering state-of-the-art LLMs, tailored to your business data and running securely on your network, to power enterprise AI transformation. Prefer to watch the 2-minute video and see how it works? Watch now.

Generative AI for the Enterprise

Riding the wave of the generative AI revolution, third party large language model (LLM) services like ChatGPT and Bard have swiftly emerged as the talk of the town, converting AI skeptics to evangelists and transforming the way we interact with technology. For proof of this megatrend look no further than the instant success of ChatGPT, where it set the record for the fastest-growing user base, reaching 100 million users in just 2 months after its launch.

Appian 23.2 Brings AI to Processes and Improves Total Experience.

In 2023, AI is everywhere, and not a day goes by without someone developing a new way to use tools like ChatGPT. With the increasing hype about the promise of AI, it’s more important than ever to cut through the noise and focus on how AI can help you deliver real business value. Modern process automation platforms go above and beyond the capabilities of AI alone.

Sergey Tokarev about areas where AI technologies are being introduced

Today, it is already becoming difficult to imagine the monotonous work of a person without additional technological assistance. Thanks to AI, a large amount of data can now be processed many times faster and with less probability of errors. Sergey Tokarev, the founder of Roosh, announced a list of areas in which the use of artificial intelligence is becoming indispensable.