Systems | Development | Analytics | API | Testing

Using ChatGPT for Coding

Welcome to Test Case Scenario! In this episode, join our host Jason Baum, and panelists from Sauce Labs as they discuss the report about “Developers Behaving Badly,” what are these so-called bad behaviors, why is this happening, and what are its implications? In this insightful discussion, our host is joined by Evelyn and Titus as they share not only their perspective about these “bad behaviors,” but the possible underlying reasons for it and things we can look forward to in the future of coding and the rise of AI.

How Change Data Capture Cuts Costs and Modernises Applications in a Competitive Market

I consider myself pretty lucky: I love technology and get paid to pursue my hobby. I also get to say yes to opportunities that come my way that can increase value to my company and our clients. It was one of these opportunities that led us to adopt change data capture (CDC) technology, resulting in an added value proposition for our customers.

Qlik's AWS re:Invent 2023 Journey: Real-Time Data Integration, Quality, and AI-Powered Analytics Unleashed!

Qlik’s partnership with AWS provides customers with an end-to-end data integration and analytics solution for AWS. Our accelerates data delivery and readiness for analytics from a wide range of enterprise data sources. And our empowers users at any skill level to freely explore all your data and uncover hidden insights. Add to that Qlik Staige and you can find out how we can help modernize with AI.

Top AI Automation Testing Tools 2024

Ever since we have entered the third decade of the 21st century, artificial intelligence has proven to be the driving force behind innovation. However, the growing need for technology and constant development demands access to rapid testing and quality assurance. Besides, the software testing landscape is undergoing a revolutionary transformation, as we hurtle into a tech-driven era. It means AI-powered tools are being tested using the power of AI automation testing tools.

Kong Mesh 2.5: Tailored Use Cases for an Elevated Experience

The latest release of Kong Mesh (version 2.5) brings many new features that push the envelope and make Kong Mesh the logical choice of a service mesh to meet your objectives. In this blog, we'll break down these new features and provide tailored use cases to illustrate how Kong Mesh 2.5 can elevate your service mesh experience. We'll focus on three main categories: flexibility, resiliency, and security.

Using Propel To Accelerate The Process Of Creating Analytics For Web And Mobile Applications

In this episode of “Powered by Snowflake,” host Daniel Myers chats with Nico Acosta, CEO and Co-founder of Propel, about his company’s API platform that’s targeted at developers and engineering teams who build customer-facing analytics into web and mobile applications. This Connected Application makes it easy to use Snowflake data to drive SaaS dashboards, product usage analytics visualizations, intelligent application workflows, and more.

Snowflake Snowday 2023 Highlights

"The most important aspect of what we do is we take complex technologies, complex problems, and make them easy....We have a number of interesting announcements about how the Data Cloud keeps getting more powerful and more exciting for everyone." With those words, Christian Kleinerman, Senior VP of Product, kicks off this video, which highlights some of the key news that came out of Snowday, including the introduction of Snowflake Horizon, Snowflake Cortex, and Snowflake Notebooks.

How to Handle CSV Files Over SFTP: Best Practices

Secure File Transfer Protocol (SFTP) stands as a robust protocol at the disposal of businesses, offering enhanced collaborative capabilities, operational efficiency, and heightened security for confidential data. Using SFTP, organizations can confidently exchange files among users and locations, irrespective of device variations. This adoption contributes to increased productivity levels and improved security around sensitive data, shielding it from unauthorized breaches.

Scaling MLOps Infrastructure: Components and Considerations for Growth

An MLOps platform enables streamlining and automating the entire ML lifecycle, from model development and training to deployment and monitoring. This helps enhance collaboration between data scientists and developers, bridge technological silos, and ensure efficiency when building and deploying ML models, which brings more ML models to production faster.