When working on web and graphic designs there can be so much back and forth in emails and messages. There will be lots of email threads to keep up with. The review and approval process taking several turns. So, what do you do? Ask any designer about the pain they go through when it comes to the approval process. Luckily, the technology clearly will never disappoint any of us.
Enterprise software companies sell very differently today than just a decade ago. Previously, most software was shrink-wrapped, required a lot of effort to distribute and implement, and was sold to an executive who would have to deploy it throughout their department or organization. The buying process involved a long sales cycle and often included pilots, cost-benefit analyses, procurement, and legal reviews.
Have you ever dealt with a unicode bug? Where plain text — the substance you work with all day — can no longer be trusted? It can be disorienting to say the least! This article will help prepare you so that the next time that happens you’ll be able to spend less time hyperventilating and more time troubleshooting.
We are excited to release Deep Learning for Anomaly Detection, the latest applied machine learning research report from Cloudera Fast Forward Labs. Anomalies, often referred to as outliers, are data points or patterns in data that do not conform to a notion of normal behavior. Anomaly detection, then, is the task of finding those patterns in data that do not adhere to expected norms. The capability to recognize or detect anomalous behavior can provide highly useful insights across industries.
The future of software testing depends upon the amalgam of human ability and machine capability. Implementing automated software testing with native manual testing allows testers to easily replicate processes, resulting in more efficient and accurate testing.
One of the first recorded medical devices was the stethoscope in 1816. Fast forward more than a century to 2019, where the world witnessed the creation of an award-winning multi-sensor, implantable cardiac device able to predict potential heart failure weeks in advance. The data and analytics streamed and analyzed from new connected devices are transforming healthcare as we know it. However, a real challenge in this environment is the sheer volume and scope of data that must be managed and protected.
Based in Dubai, Emaar is a real-estate development company operating across a number of verticals, including properties, shopping malls, hospitality, and entertainment. Learn how Emaar develops new customer experiences using APIs. Emaar is known worldwide for our luxurious properties and communities. Our most well-known property is likely the Burj Khalifa, which is the tallest structure in the world at 829 meters.
With so much packed into the latest Yellowfin 9 release, we figured it would be great to let you know about some of the coolest features (which will really transform how you do analytics!) in this series of blog posts - Fresh Features. At Yellowfin, we’re super excited that you will be benefiting from the huge amount of work our development team have been doing behind the scenes to complete revamp Yellowfin’s look, feel, and functionality.
In 2019 we spent a great deal of time visiting developers that use Bitrise, traveling around the globe with cross-functional teams, and continued talking to a lot of companies developing mobile apps. We also regularly analyzed a ton of behavioral data to understand how we could improve Bitrise to give the best experience for mobile developers. We've drawn our conclusions and thought it would be interesting to break them down into numbers and share the big picture with you.
