Systems | Development | Analytics | API | Testing

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The Unstoppable Growth of Selenium

Ever wondered what it's like to have a virtual robot in your toolkit, a trojan horse in your test scripts, or a lil' rockstar named Selenium? Welcome to the world of test automation, as unfolded by none other than Jason Huggins. In this part 2 episode of our interview with Jason, we continue to dive into the world of testing. You’ll learn how Java and Python enthusiasts have propelled Selenium to global fame with impressive stats and precision, and Jason also sheds light on the power of community. Tune in to hear how collaboration turned dreams into reality through his experiences with Selenium and Sauce Labs.

How to Reverse Engineer APIs: The Benefits and Tools

Interoperability is one of the main reasons to reverse engineer APIs. Unlike a few decades ago, when software could exist in isolation, nowadays, a program runs on a complicated operating system and involves communication with several libraries created by different people. Reverse engineering APIs for interoperability involves API integration and learning new ways in which programs can exchange and use information.

Growing Your Career as a QA Manager | Sunit Bose | #softwaretesting #automationtesting

In this engaging session, Sunit Bose reveals the secrets to growing your career as a QA Manager or Leader. Discover essential skills that set exceptional leaders apart, including team management, effective communication, and strategic test planning.

Understanding AI and Shift Left Testing | Shray Sharma | #generativeai #softwaretesting

In this video, Shray Sharma discusses "AI and Shift Left Testing, Advocating for a Change," exploring how the integration of AI can transform testing practices in alignment with the Shift Left approach. Shray begins by breaking down Shift Left testing, explaining its principles and benefits for improving product quality and development efficiency.

Build Scalable AI-Enabled Applications with Confluent and AWS

In this video, Confluent and AWS address enterprises' challenges in deploying generative AI and how Confluent Cloud and Amazon Bedrock empower organizations to build scalable, AI-enabled applications. We'll explore how Confluent's comprehensive data streaming platform enables you to stream, connect, and govern data at scale, creating real-time, contextualized, and trustworthy applications that differentiate generative AI.

What's New in Angles for SAP v24.2

Discover the latest features and enhancements in IDL Konsis and IDL Forecast 24.2! This update introduces significant improvements designed to streamline your data insights and forecasting processes. Learn about the Designer Workbench and Platform Data Sharing (PDS). Explore how these updates can transform your workflow and boost productivity. Watch now to unlock the full potential of Angles for SAP 24.2! Stay ahead with the latest advancements in operational management and forecasting. If you found this video helpful, please like, share, and subscribe for more updates and tutorials.

Ensuring Seamless Transactions: Your Guide to Overcoming Payment Testing Complexities

It’s probably the most frustrating issue customers encounter. After all, they took the time to search for a product they wanted to purchase, made it all the way to checkout, and entered their information, only to have the transaction fail. If they’re like most online shoppers, chances are this experience left them frustrated enough to take their business elsewhere.

QA and Software Testing: What's The Difference

Ever wondered if there’s more to software quality than just testing? The distinction between software testing and quality assurance (QA) might surprise you. While they are closely related and aim to ensure high-quality software, their roles and processes differ. Let’s evaluate the differences between QA and software testing and where they overlap.

How to Implement Gen AI in Highly Regulated Environments: Financial Services and Telecommunications and More

If 2023 was the year of gen experimentation, 2024 is the year of gen AI implementation. As companies embark on their implementation journey, they need to deal with a host of challenges, like performance, GPU efficiency and LLM risks. These challenges are exacerbated in highly-regulated industries, such as financial services and telecommunication, adding further implementation complexities. Below, we discuss these challenges and present some best practices and solutions to take into consideration.