Systems | Development | Analytics | API | Testing

Just like humans, AI systems are shaped by how they are brought up. In the case of Large Language Models, this upbringing happens through data collection, training, and productization. At each of these stages, bias can quietly enter the system through the data we select, the way models are trained, or the assumptions embedded into the final product. These biases, whether intentional or accidental, influence how models think, respond, and interact with users in the real world.

Message brokers are a critical component of modern distributed systems, facilitating asynchronous communication between services. Load testing message broker integrations requires special considerations since the interaction patterns differ from traditional HTTP-based APIs. Speedscale provides specialized tooling to help you load test applications that integrate with message brokers by.

In machine learning, an 85% accurate model is often considered a success because we accept that data is messy, the real world is unpredictable, and chasing perfection is rarely worth the cost. However, in software testing, especially in the GenAI era, the question of “Can we test 100%?” still comes up. With AI systems producing probabilistic outputs where the same input can lead to different results, absolute coverage is unrealistic. Confidence scores already tell us that uncertainty is part of the system, and testing needs to acknowledge that reality.

Check out the full interview: https://youtu.be/CVaJ6K7xXyo

Your AI-accelerated future will include operationalizing AI, rewriting your leadership skill set, and harnessing the next killer app. Set yourself up for success by registering for this year's AI & Data Predictions event featuring forward-looking conversations with Snowflake's talented leaders. See how agentic AI will create a new enterprise and a new worker. Join the AI + Data Predictions 2026 Virtual Event on January 13, 2026 and hear from Snowflake executives and experts discuss the continuing impact of generative AI on organizations.

Leadership today is facing a serious gap. Many people step into leadership and management roles without a clear understanding of how to lead, manage, or genuinely support their teams. While the fundamentals of leadership are simple, poor leadership makes it necessary to revisit the basics. Drawing from experience as a consultant, manager, individual contributor, and leader, this session focuses on what truly works and what consistently fails.

Healthcare organizations can’t achieve true Patient 360 or power accurate AI and analytics when identity data is fragmented across EHRs, EMRs, CRMs, and countless clinical and operational systems. In this video, Nick Orser shows how Verato MDM Cloud delivers industry-leading healthcare identity resolution and master data management (MDM) directly inside Snowflake to unify, enrich, and master patient and provider data with unmatched accuracy. See how the Verato Snowflake Native App simplifies data mapping, validation, and mastering so you can easily build a complete, trusted view of every patient, provider, and household.

See how Process Runner GLSU eliminates manual SAP data entry and accelerates month-end close. This 90-second demo shows how finance teams automate 40+ SAP FI transactions, process thousands of entries in minutes, and catch errors before they hit the system—all from Excel, no coding required.

The role of the Software Development Engineer in Test has evolved far beyond just writing tests. Today, SDETs operate at the intersection of quality, development, product, and automation, creating opportunities that extend well beyond traditional testing roles. This session explores the core responsibilities of an SDET and how these skills form a strong foundation for multiple career paths.

Using AI to rewrite generic content won’t help you show up in AI search. In this clip, Rick Kranz explains why LLMs ignore repetitive content and what they actually look for when choosing sources to cite.