The promise of Artificial Intelligence (AI) in software testing is that an intelligent agent will one day replace humans. Instead of the struggle of manual labor involved in the endless unit and integrated proofing of software quality, machines will test computer systems without human intervention.
Data Talks fills a gap in the sports market by giving brands the data they need to truly understand their customers. But when your platform is responsible for continued ticket, merchandise, and sponsorship revenue, it needs to deliver insights fast. Here’s how Data Talks delivers data quickly with a rapid insights platform powered by Snowflake. From football fans filling out stadiums to baseball followers streaming every game, few customers are as avid and loyal as sports fans.
Data teams are seeking change data capture solutions for faster, more efficient analytics.
We are going to look at how performance testing can work hand in hand with Artificial Intelligence and Machine Learning: As there are many Artificial Intelligence solutions to choose from and for the purposes of this post this is the easiest way to discuss the principles of Artificial Intelligence working with performance testing rather than discussing a particular framework.
The term “Zero Trust” has become one of the most important concepts in the information security industry. An all-encompassing phrase for many modern security best practices, Zero Trust is a conceptual design philosophy focused on continuous authentication and authorization for each action a user takes within a session rather than verification that only occurs at the start of a session.
In this blog, learn how to manage your mobile apps all in one place for a more connected and efficient testing experience with Sauce Labs' new App Management dashboard. Ensuring a seamless user experience for your mobile app requires an increasing amount of testing. With customer expectations also increasing, It’s never been more important for mobile development teams to have a highly scalable and reliable testing solution in their tech stack.
As organizations run more data applications and pipelines in the cloud, they look for ways to avoid the hidden costs of cloud adoption and migration. Teams seek to maximize business results through cost visibility, forecast accuracy, and financial predictability. Watch the breakout session video from Data Teams Summit and see how organizations apply agile and lean principles using the FinOps framework to boost efficiency, productivity, and innovation. Transcript available below.
As DataOps moves along the maturity curve, many organizations are deciphering how to best balance the success of running critical jobs with optimized time and cost governance. Watch the fireside chat from Data Teams Summit where Mark Sear, Head of Data Platform Optimization for Maersk, shares how his team is driving towards enabling strong engineering practices, design tenets, and culture at one of the largest shipping and logistics companies in the world.
