Systems | Development | Analytics | API | Testing

Join Snowflake's Nick Akincilar, Phani Raj, and host Felipe Hoffa for a live conversation and demo showcasing the use of Snowpark in place of PySpark for data engineering and machine learning.

In this comprehensive video, Prathamesh dives into the key features to consider when selecting an automation tool for your testing needs. Drawing on his extensive experience in the field, Prathamesh walks you through important considerations such as ease of use, platform compatibility, support for multiple programming languages, robust reporting capabilities, and integrations with other testing tools.

In this video, we'll explore general API trends. This includes how organizations consume and produce APIs and what is important for consumers and providers of APIs.

Learn how to properly select tools to support your API strategy & discover why usability and integrations with existing tools is so important.

Learn how APIs are supporting organizations to reach their goals and deliver great experiences for end users.

Presented at the Showfloor Showdown event at Gartner D&A London Summit, Ricky Patel analyzes global flooding and weather station data with ThoughtSpot, showing the crowd that wielding AI-Powered Analytics can be as easy as your favorite consumer app.

In this informative video, Sahil Puri shares his insights on how to develop a business perspective as a Software Development Engineer in Test (SDET). Sahil emphasizes the importance of understanding the business context and aligning testing efforts with broader organizational goals.

In this informative video, Cypress Ambassador Filip Hric shares his expertise on how to deal with third-party authentication apps in Cypress. He walks you through the process of handling authentication challenges when testing applications that rely on external authentication providers. This video is a must-watch for anyone looking to enhance their testing skills using Cypress.

ChatGPT sparks the imagination and highlights the importance of Generative AI and foundation models as the basis for modern AI applications. However, this also brings a new set of AI operationalization 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 talk, we explore the new technologies and share MLOps orchestration best practices that will enable you to automate the continuous integration and deployment (CI/CD) of foundation models and transformers, along with the application logic, in production.

This video demonstrates how to use an open source pre-trained instruction-following LLM (Large Language Model) to build a ChatBot-like web application. The responses of the LLM are enhanced by giving it context from an internal knowledge base. This context is retrieved by using an open source Vector Database to do semantic search.