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The Landscape of AI-Enabled Test Automation Tools

Midnight, December 31, 1999, marked the beginning of a millennium where aircrafts would not fall out of the sky and bank ATMs would not spew millions of dollars from their cash withdrawal slots. Preemptive software testing and remediation on a global scale provided the automated world with some assurance that the machines would continue to run as they had for decades.

Tricentis Testim Mobile: Introducing low-code mobile testing for Agile development teams

We love our mobile phones. We take pictures, text friends, and sometimes even use them to make a phone call. For many of us, a mobile phone is about the apps. Apps help us stay connected, inform us, and make our work easier. Yet according to one study, users uninstall 49% of apps within the first 30 days of installation. Why? There are many reasons, including the app being too spammy, taking up too much storage space, or the user just didn’t need it anymore.

What Is Deep Learning? A Guide to Deep Learning Use Cases, Applications, and Benefits

Deep learning has become a buzzword in the field of artificial intelligence (AI) in recent years. It has achieved impressive results in a variety of tasks, including image and speech recognition, natural language processing, and even playing games.

On-premise vs. Cloud: Finding the Best Solution for your Product

When thinking about a product analytics solution, an essential component of the process lies in deciding between two types of data storage: cloud or on-premise. Each has its advantages and disadvantages depending on a number of factors, such as the stage or size of a business, budget, etc. Before we can tackle these variables, we should understand what each option entails.

Classifying DNA Sequences into Gene Families on SageMaker

The cost of DNA sequencing continues to decline exponentially. With the average cost of sequencing mammalian DNA hovering around $1,000 in the beginning of 2023, startups like Ultima Genomics and Illumina are working to decrease the cost to between $100-$200. That’s about the same as a new pair of Brooks running shoes! As the sequencing cost drops, the quantity of genetic data to study and analyze explodes, making it even more important to leverage machine learning techniques.

Pair Grafana Faro and Grafana k6 for frontend observability

Grafana Faro and xk6-browser are both new tools within the Grafana Labs open source ecosystem, but the pairing is already showing a lot of potential in terms of frontend monitoring and performance testing. Faro, which was announced last November, includes a highly configurable SDK that instruments web apps to capture observability signals that can then be correlated with backend and infrastructure data.