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Hiring extra hands for 3 months could be the game-changer your team needs! But remember, it’s all about the right attitude and teamwork to make it work.
In this episode, we sit down with Bas Dijkstra to explore the harmony between Test Automation and Exploratory Testing. Learn how these two approaches can work together to improve software quality as Bas talks about when to automate, when to explore, and how to use both to your advantage. Tune in to discover how to maximize the strengths of automation while unleashing the creative power of exploratory testing!
In this webinar, Kevin McGahey, CTO of DreamFactory, discusses how you can use DreamFactory to autogenerate REST APIs for Apache Iceberg, allowing users to directly interact with their Iceberg data through Snowflake.
In this episode, hosts Sanjiva and Asanka are joined by special guest Daniel Bryant to explore the evolving practice of platform engineering through the lens of software architecture. They discuss why platform engineering should have a product mindset with developers as its primary customers, how platform and software architectures are symbiotic, and why good APIs, abstractions, and automation are essential for success. The conversation also highlights the role of internal developer platforms (IDPs) in enabling efficient and scalable software delivery.
Ever wondered how a Generative AI assistant can revolutionize the way you work with data? Watch as real users try Qlik Answers, Qlik's AI-powered knowledge assistant, for the very first time! Whether you're an experienced Qlik user or just getting started, this video showcases why Qlik Answers is the future of trusted, fast, and intuitive data insights. Ready to try it yourself?
In this demo, we showcase how to leverage MLRun, Iguazio, and NVIDIA NIMs to deploy and monitor a generative AI model at scale, focusing on reducing risks and ensuring seamless performance. Using NVIDIA's NIMs, the demo demonstrates advanced methods in model monitoring, logging, and continuous fine-tuning.
How reliable is your AI when it comes to ethical decision-making? Testing AI for ethics is possible, but scaling it for widespread use is still a major challenge. Manual frameworks and rigorous checks are essential to: Learn how to approach ethical AI testing responsibly and with precision in the latest episode of Test Case Scenario.
Are your testing strategies aligned with your team’s goals? Shifting left often requires discipline and advanced skills, making it a safer approach for many teams. On the other hand, shifting right can deliver major rewards if your team has the resources to handle the risks. The key is understanding your team’s capabilities and aligning your strategy with your specific goals, whether that means prioritizing safety or speed.