Systems | Development | Analytics | API | Testing

In this session, Ashwini Lalit delves into how Quality Engineering teams can leverage a data-driven approach to Value Stream Mapping (VSM) to achieve quality excellence. Traditional workflows often mask inefficiencies and bottlenecks behind agile ceremonies and feel-good optics, making it challenging to gauge the true readiness of release deliverables. By combining VSM with agile principles and DevOps tools, Ashwini demonstrates how to visualize workflows holistically, streamline production releases, and transition from reactive to proactive quality processes.

We show how you can process data using Lenses SQL Processors before it hits your Splunk index or how you can instead use Cribl to parse/route your data.

Escaped bugs can break more than your code—they can break the bank, too. In this episode of Test Case Scenario, Jason Baum, Evelyn Coleman, and Marcus Merrell break down the connection between software quality and business impact. They talk about how to approach postmortems, why some features matter more than others, and how technical teams can align their work with business goals. You’ll also hear real-life stories of bugs that cost companies millions and learn practical tips for balancing technical needs with business priorities in industries like retail, finance, healthcare, and government.

More data exists than ever before – in fact, IDC predicts worldwide data will grow 61% by 2025. However, simply having data is not enough; business leaders must know how to effectively leverage it to make informed decisions. Conversely, data professionals also need strong business acumen to understand how their insights create value for the organization. Jordan Morrow, known as “The Godfather of Data Literacy,” joins The AI Forecast to share why data has become so complicated and what leaders and data professionals can do to untangle a messy data web for real value.

#Automation #SoftwareTesting #QA

Discover how to build a powerful Retrieval Augmented Generation (RAG) application that that changes the way you explore California’s wine country. Using the latest technologies from Fivetran and Google Cloud, this tutorial will guide you through the creation of a Gen AI-powered travel assistant that integrates structured data with advanced Gen AI capabilities.

In this session, Gil Zilberfeld highlights a critical challenge in test automation—the creation of "Frankenstein tests." These tests combine programming languages, frameworks, and domain-specific languages into a mishmash that is difficult to read, interpret, and maintain. While this approach may seem functional initially, it often leads to complex, fragile tests that become a burden as projects evolve. Gil emphasizes the importance of addressing this issue to prevent the "monster" of unmanageable tests from overwhelming your testing strategy.

In an era increasingly driven by artificial intelligence, ensuring ethical development and testing practices is more crucial than ever. In this thought-provoking session, Gaurav Khurana will explore the core principles of Responsible AI, including transparency, accountability, fairness, and privacy. These principles act as a foundation for building trust, mitigating algorithmic biases, and ensuring responsible data usage, ultimately fostering an AI ecosystem that prioritizes human welfare and respects privacy rights.

In this session, Harish Pandalangatt will explore the fundamentals of Customer Data Platforms (CDPs) and their pivotal role in centralizing and unifying customer data from various sources. He will emphasize the importance of testing these platforms to ensure that data is accurately captured, processed, and used to drive personalized marketing strategies and business insights. The session will also introduce Tealium, a leading CDP platform, showcasing how it streamlines customer data management and enhances marketing effectiveness.