Is speed more important than quality in software development? While getting products to market quickly is tempting, cutting corners on quality can lead to costly bugs and system failures that may result in a large-scale failure and damage your reputation. The real solution? Investing in more QA professionals to ensure your software is both fast and flawless. QA is not just about finding bugs; it's about ensuring the overall health and success of a software project.

On any given day, data helps people get things done. From the time we rise in the morning until we go to bed at night, Snowflake customers are using data to enhance the lives of people everywhere. Across industries and around the clock, the world’s leading companies use Snowflake to sharpen their competitive edge and keep their customers happy.

Thanks for joining our exclusive live broadcast. Feel free to share your questions and interact with other participants in the chat.

Right now, 88% of companies surveyed are turning to AI to improve bug-fixing effectiveness. Why? Troubleshooting modern data stacks is typically a toilsome and manual process. The good news – data teams that use DataOps practices and tools will be 10 times more productive (Gartner). With this in mind, Unravel introduces the new DataOps AI Agent. Learn how this new AI agent enables teams to go beyond observing data pipelines and errors to taking immediate action with purpose-built AI and automation.

Shifting left to put more on developers? They you have to find the right balance between automation and simplicity. Otherwise, you'll end up with complexity that slows everything down instead of speeding it up. @David Morgenthaler says tools like static analysis and AI-driven tests are shaping the future of software quality: Watch the latest episode of Test Case Scenario to explore how automation can streamline processes without overcomplicating development. It’s working for @Indeed.

Join us in this engaging webinar as we examine the role of AI in automating invoice payments within the retail landscape. We will highlight the significance of data extraction technologies and their ability to enhance payment accuracy and speed. Learn about the challenges faced by retailers and how AI solutions can address these issues effectively.

Customer identity and access management (CIAM) encompasses the systems and processes that handle consumer identities and their access to services. In healthcare, CIAM applies not only to patients but also to healthcare providers, administrative staff, and other stakeholders involved in care delivery. Given the complexities of healthcare, including patient data privacy and the integration of diverse systems, CIAM is vital for effective digital transformation.

This video shows you how to use the predictive model data created in video 1 to create a very simple predictive Qlik Sense App.

Introducing our partner Brickeye, who delivers advanced monitoring and management solutions in construction, ranging from water mitigation to concrete monitoring and environmental risk management. Brickeye teamed up with ORIL to streamline interfaces across its apps. By creating a cohesive design system, we ensured that Brickeye’s future products would maintain consistency and benefit from accelerated deployment timelines.

What does it really mean to shift left, and are we overburdening our developers in the process? In this episode, Jason Baum, Marcus Merrell, and Evelyn Coleman sit down with David Morgenthaler, a Software Engineering Manager at Indeed, to explore the real-world implications of shift-left testing. Together, they dissect the challenges of integrating continuous quality into CI/CD workflows and the potential pitfalls of placing more responsibility on developers' shoulders.