In this informative session, Toni Ramchandani sheds light on the essential practice of white box testing of AI Models, where participants will uncover the internal mechanics of AI models, gaining valuable insights into neuron activation, layer functions, and model interpretability. From honing skills in robustness and reliability testing to addressing bias and fairness concerns, attendees will explore a comprehensive range of topics crucial for ensuring the effectiveness and ethicality of AI systems.

What is the role of data governance in cybersecurity? How do bad developer behaviors affect data quality? How will generative AI impact data management and security? This week, we revisit the Developers Behaving Badly Report with Lauren Maffeo, Senior Service Designer at Steampunk! We talk about data ethics, data governance, cybersecurity, and how they all tie together.

In this insightful video, Ganesh Manoharan demonstrates the ins and outs of using Postman. He covers the essential aspects of API testing, including setup, assertions, and reporting. Whether you're a seasoned tester or a developer venturing into API testing, Ganesh's practical guidance and hands-on demonstration will equip you with the skills needed to streamline your testing process. Learn how to leverage Postman for effective API testing, ensure robust assertions, and generate comprehensive reports. Elevate your testing game with this comprehensive tutorial on API testing using Postman.

As you scale up the number of teams and apps on #apachekafka , using schemas managed in a Schema Registry will save you endless problems. In this #Kafka Live Stream, learn the fundamentals of schemas for your applications and how you can best manage them.

Unlock the power of Python testing with Andrew Knight's hands-on demonstration using Pytest, the most popular testing framework in the Python ecosystem. In this insightful video, Andrew guides you through the practical aspects of Pytest, showcasing its features and capabilities for effective and efficient testing in Python projects.

In this video, we are going to explore the intersection of Artificial Intelligence (AI) and Quality Engineering, unveiling the top five trends that are currently shaping their symbiotic evolution. From harnessing the power of machine learning for intelligent test automation to adopting AI-driven enhanced defect prediction and prevention, we will examine how organizations can leverage these trends to elevate their software quality and testing practices.

Ever wondered how to integrate ML and AI into your analytics? Whether you're curious about the basics or interested in advanced techniques, watch this session for a deep dive into the potential and challenges of ML & AI with Yellowfin.

Generative AI has sparked the imagination with the explosion of tools like ChatGPT, CodePilot and others, highlighting the importance of LLMs as the basis for modern AI applications. However, implementing GenAI in the enterprise is challenging, and it becomes even more difficult for banks, insurance companies, and other financial services companies. Many Financial Service companies are struggling and end up missing out on the great value of GenAI and the competitive edge it can provide.

In this video, Frank Kilcommins from SmartBear and our special guest, José Haro Peralta, author of "Microservice APIs" demonstrate practical steps, workflow tricks, and the essential tools you need to beef up your API security, from start to finish, including design and development. They recap on the initial Security-By-Design session, to cover OWASP Risks, AuthNZ nuances, Common Design Vulnerabilities before going on a Hands-On walkthrough delivering an API with security in mind from the get go!

Guided Natural Language Queries are the next step in the evolution of ad hoc interrogation of data sources. Being able to quickly pose questions to your data without getting into the details of advanced report editing and formatting is a powerful capability that enables on the spot insights for your audience. Simplifying this interrogation does require some consideration and design when enabling data discovery on complex or large data sets.