No, not really. You probably won’t be rich unless you work really hard… As nice as it would be, you can’t really predict a stock price based on ML solely, but now I have your attention! Continuing from my previous blog post about how awesome and easy it is to develop web-based applications backed by Cloudera Operational Database (COD), I started a small project to integrate COD with another CDP cloud experience, Cloudera Machine Learning (CML).

The digital revolution is making a deep impact on the automotive industry, offering practically unlimited possibilities for more efficient, convenient, and safe driving and travel experiences in connected vehicles. This revolution is just beginning to accelerate – in fact, according to a recent Applied Market Research study, the global connected car market was valued at $63.03 billion in 2019, and is projected to reach $225.16 billion by 2027, registering a CAGR of 17.1% from 2020 to 2027.

This is part 2 in this blog series. You can read part 1, here: Digital Transformation is a Data Journey From Edge to Insight

“Automated scripts are checking known paths for expected results. That’s not truly testing. Testers discover the unknown, and this skill is still very much so needed, whether there’s automation or not. Without human intuitive exploration, a team may be blind to their most expensive bugs.”— Angie Jones The above quote lets us understand the power of Manual Testing.

Standard Deviation is an important metric in performance testing analysis and informs us how stable the application under test is. In other words, it tells us if the requests that occur during the test are consistent or not. Standard Deviation measures how the response times are spread out around the average response time (mean). A small standard deviation means that the response time of all the requests are close to each other.

If you’re a developer, a web designer, or a QA manager, you would want to ensure that your product delivers as promised. Today’s customers expect the highest standards of user experience. Anything less is grounds for disappointment and even lost business. Facebook’s mobile device testing lab at the Prineville Data Centre is equipped with Android and iOS devices that test Facebook applications and Instagram.

Load testing is a type of performance testing that simulates a real-world load on any software, application, or website. Without it, your application could fail miserably in real-world conditions. That’s why we build tools like Retrace to help you monitor application performance and fix bugs before your code ever gets to production.

Dear Testlio Clients, 2020 was a year of abundant challenges. Health, political, economic, social, data, and other issues rippled through news headlines. Moreso, many of us—across organizations and nations—felt the burden of the year. We carried it on our shoulders and in our hearts. Yet, amid challenges, we found hope. We summoned resiliency. We designed new, innovative approaches. And we came together. For one another. In countless ways.

inReality provides an analytics platform that leverages IoT sensor data (for example, visual technologies) to bring operational excellence and exceptional customer experiences to all types of venues. The company’s clients range from public schools to major telecommunication companies with the goal being to make their spaces more secure and efficient, to solve problems, and to create better experiences for their patrons.

Every new decade sees businesses split into winners and losers as technology evolves, competitiveness tightens, and new market entrants challenge the incumbents.