Systems | Development | Analytics | API | Testing

Testing generative AI systems and red teaming: An introductory guide

The topic of testing AI and ensuring its responsibility, safety, and security has never been more urgent. Controversy and incidents of AI misuse have increased 26-fold since 2021, highlighting growing concerns. As users quickly find out, AI tools are not infallible; they can make mistakes, display overconfidence, and lack critical questioning. The reality of the market is that AI is prone to error. This is exactly why testing AI is crucial. But how do we test AI?

Snowflake Horizon Demo For Data Engineers

In this demo targeted at data engineers, Ravi Kumar, Senior Partner Sales Engineer at Snowflake, shows you how to govern and discover data, apps, and more in Snowflake Horizon. Learn and try the core capabilities of Snowflake Horizon to unify data across different sources and formats, such as by loading data securely into Snowflake based on RBAC privileges and being interoperable with Iceberg Tables in external cloud storage.

How Asgardeo Protects You from Costly Downtime

We all love the ease and affordability of SaaS (Software-as-a-Service) tools. We expect our SaaS apps to be available whenever we need them, building our business processes around this assumption. At WSO2, we are grateful that many organizations trust our SaaS solutions, and we continually work to ensure this trust is well-founded. It’s worth taking a moment to understand the impact when those mission-critical apps go offline. Just one minute of downtime can cost businesses thousands of dollars.

JMeter JMesPath Extractor

Extracting values from server responses is a common operation in scripting scenarios for performance testing. In most cases it is a mandatory step in order to reproduce realistic traffic using dynamic values generated on server side like sessionIds or Tokens. The most known way to extract values is using regular expression. While regular expressions are efficient for raw text-based responses, they are less efficient for structured responses like XML or JSON.

Importance of Design Patterns in #TestAutomation Frameworks | Raneesh Choudhary | #AutomationTesting

In this session, Raneesh Choudhary delves into the crucial role of design patterns in test automation frameworks in this engaging presentation. Discover why testers need to enhance their coding skills and become proficient in programming. Explore the significance of design patterns within the context of test automation frameworks and understand the distinctions between custom frameworks, low-code tools, and Selenium wrappers.

BigQuery data canvas overview

Reimagine your data analysis experience with the AI-powered BigQuery data canvas. This natural language centric tool simplifies the process of finding, querying, and visualizing your data. Its intuitive features help you discover data assets quickly, generate SQL queries, automatically visualize results, and seamlessly collaborate with others – all within a unified interface.

Introduction to Gemini in BigQuery

Data practitioners spend much of their time on complex, fragmented and sometimes, repetitive tasks. This limits their ability to focus on strategic insights and maximize the value of their data. Gemini in BigQuery shifts this paradigm by providing AI capabilities that help streamline your workflows across the entire data lifecycle.

Download a file from SharePoint with the API

Many organizations are turning to SharePoint to store their files and share documents. Allowing your systems to access these files might seem like a challenge at first, but with the help of the Microsoft Graph API, you can quickly download the file to start processing on your back-end. Download the example solution to get started. Use the created functions in your solution to simplify Microsoft Graph integration.