In this session, Subhash Kotra delves into the future of automation and Software Development Engineers in Test (SDETs) in an AI-driven world. Discover how AI-powered automation tools are revolutionizing testing methodologies, enhancing efficiency, and scalability. Learn about the evolving role of SDETs in integrating AI into the software development lifecycle, designing robust testing frameworks, and ensuring responsible AI deployment.

In this episode of "Powered by Snowflake, host Julian Forero chats with Nilesh Dherange, Co-founder and CTO of Gurucul, about data, cybersecurity, and machine learning in the context of Gurucul's threat detection, investigation, and response platform. Founded in 2010, Gurucul's mission has always been to bring together different silos of cybersecurity data. In this conversation, Nilesh provides an in-depth demo showing how the platform works, while explaining how its capabilities have advanced over time through the use of machine learning models and the adoption of Snowflake as one of its supported data lakes.

API standardization with SwaggerHub and Spectral. Spectral an open source API style guide enforcer and linter.

Watch session #28 in our MLOps Live Webinar Series featuring Databricks where we discuss improving LLM accuracy & performance. Hear Margaret Amori (Databricks), Vijay Balasubramaniam (Databricks) , and Yaron Haviv (Iguazio) share best practices and pragmatic advice on successfully improving the accuracy and performance of LLMs while mitigating challenges like risks and escalating costs. See real examples including techniques to overcome common challenges using tools such as Databricks Mosaic AI and their new open LLM, DBRX.