When it comes to web automation testing, selecting the right tool can be crucial for the success of your project. Both Cypress and Selenium have emerged as two of the most popular options, but they cater to different use cases and testing environments. Cypress is relatively new but quickly gaining popularity due to its easy setup, modern architecture, and fast performance. It’s specifically designed for front-end developers, making it ideal for testing modern web applications.

At API Summit 2024, a common theme covered was how there's no AI without APIs. This couldn’t be more true for Writer, the full-stack generative AI platform for enterprises — and a notable user of the Kong Konnect unified API platform. Writer recently launched AI Studio, billed as “the fastest way to build generative AI apps.” AI Studio uses Writer API, Writer Framework, and Writer No Code to give people enterprise-grade generative AIs they can put in their own apps and services.

Software testing stands as a cornerstone of successful software development, delivering crucial benefits that extend far beyond simple bug detection. In today's rapidly evolving digital landscape, understanding the comprehensive benefits of software testing has become essential for organizations aiming to deliver high-quality products while maintaining competitive advantage.

Authors: Martin Fiser, Field CTO at Keboola, and Martin Lepka, Industry Solutions at Keboola The Quick Service Restaurant (QSR) industry sits on a goldmine of data, yet many brands are only scratching the surface with their analytics. Locked within siloed Point-of-Sale (POS) systems across individual franchisees, this data remains underutilized rather than being put to work.

In this tutorial, learn how to use Gretel to generate synthetic data with BigQuery DataFrames, a Python client for BigQuery.

ThoughtSpot prioritizes the high availability and minimal downtime of our systems to ensure a seamless user experience. In the realm of modern analytics platforms, where rapid and efficient processing of large datasets is essential, swift metadata access and management are critical for optimal system performance. Any delays in metadata retrieval can negatively impact user experience, resulting in decreased productivity and satisfaction.

To define it simply, we can say- Functional testing ensures every part of an application does exactly what it’s supposed to do. It’s about verifying that the software’s functions and features behave as expected from an end-user’s perspective. And unlike other types of testing, such as performance or load testing, functional testing focuses on the functionality itself rather than factors like speed or stability under load.

Understanding the difference between local and remote branches is crucial for working with Git effectively.

In the fast-moving world of software development, traditional testing methods are frequently inadequate since quality and agility are paramount. Although necessary, manual testing services can be labor-intensive and prone to human error. Organizations are using test automation services more often to assure perfect user experiences and speed product delivery.

Traditional contact centers, often reliant on manual processes, struggle to meet evolving expectations for efficiency, personalization, and quick response times. Intelligent automation and AI solutions are now stepping in, transforming contact centers into strategic assets for long-term growth. Are your contact centers evolving to meet today’s customer expectations?