85% of enterprises will prioritize a cloud-first approach by 2025, propelling their digital transformation initiatives – Gartner Businesses across industries are rapidly migrating to the cloud. This shift is crucial for fostering innovation, scaling efficiently, and responding to market demands with agility. Cloud adoption enhances performance and customer experiences, keeping companies competitive. However, despite these clear advantages, manual software testing can hinder digital acceleration.

Over the last year, as Snowflake has focused on putting AI tools in the hands of its customers, we have prioritized easy, efficient and safe enterprise generative AI. With that in mind, we’re happy to announce the general availability of safety guardrails for Snowflake Cortex AI with Cortex Guard, a new feature that enables enterprises to easily implement safeguards that filter out potentially inappropriate or unsafe large language model (LLM) responses.

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‍Our commitment has always been to ensure that our developers enjoy a seamless experience on Bitrise. However, with every major tool or version update, there is always a potential for disruptions, especially for workflows that have grown reliant on the specifics of an older stack.

Today, Snowflake is excited to announce that the Llama 3.1 collection of multilingual large language models (LLMs) are now available in Snowflake Cortex AI, providing enterprises with secure, serverless access to Meta’s most advanced open source model. Snowflake offers the largest context window of any vendor, at 128k, for the Llama 3.1 collection of models.

Introduction Automation is the key to efficiency and accuracy in today's fast-paced development cycles. The API test case generator (beta) in Katalon Studio is an AI-powered feature that streamlines the creation of test cases from OpenAPI/Swagger specifications. By automating this process, the generator significantly reduces the time and effort required for manual test case creation, paving the way for faster and more efficient API testing.

Per the trends suggested by Red Hat, modernization is among the topmost funding priorities (45%) for global businesses - all thanks to the promises of better digital experience, cloud-native, and quicker time to market. Generative AI can fulfill these promises by automating legacy system updates, enhancing user interfaces, facilitating cloud migration, and expediting software delivery.

There was a time when travel agents were essential for planning trips, not just for businesses but for individuals as well. About a decade ago, before everyone had computers at home and basic mobile phones were considered a luxury, people relied heavily on travel agents. Back then, the internet wasn't an integral part of life, and smartphones weren't widely used. Isn’t that so?

AI and generative Al can lead to major enterprise advancements and productivity gains. By offering new capabilities, they open up opportunities for enhancing customer engagement, content creation, virtual experts, process automation and optimization, and more.