Systems | Development | Analytics | API | Testing

Generative AI can produce tests instantly, but speed alone does not guarantee quality or safety. Without proper validation, AI-written tests can become brittle, redundant, or misleading, creating a false sense of coverage. This session looks at the risks of relying on AI-generated tests without the right controls in place.

Dive into the biggest breakthroughs for the Confluent Connect ecosystem in 2025! This year, we made moving data easier than ever, from modernizing legacy systems with the Oracle XStream CDC Premium Connector to empowering developers with Custom SMTs and Custom Connectors on Google Cloud. Discover the over 10 new connectors we launched, including Snowflake Source, Azure Cosmos DB v2, and Neo4j Sink, plus the release of Confluent Hub 2.0. Learn how Confluent Cloud connectors are breaking down silos and building bridges for your next-gen AI and data modernization projects.

In this episode of The AI Forecast, Anu Jain, founder and CEO of Nexus Cognitive, joins host Paul Muller to introduce a transformative idea: AI doesn’t have a last mile problem. It has a first mile problem. While AI models and algorithms can scale instantly through the cloud, their success still depends on the quality, provenance, and readiness of the data that feeds them.

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.