The end of the zero-interest-rate period (ZIRP) has caused an awkward shift in the Minimum Viable Product (MVP) model, forcing the tech industry to redefine how quality is defined in an era when capital is low, the software market is saturated, and switching costs are lower than they’ve ever been.

The total cost of ownership for mobile devices on premises is 2x-5x higher than opting for a cloud infrastructure provider.

Testing tools in AI and data automation have evolved to offer sophisticated features that ensure the quality of the end product and reduce its time to market. With reports suggesting 50% of manual testing being replaced by automated, these tools can help with various aspects of software testing, including unit testing, performance testing, and security testing. They can be integrated practically anywhere across the CI/CD pipeline for continuous testing and shift left testing.

Machine learning APIs provide developers with powerful tools to integrate complex algorithms and models into applications without building them from scratch. These APIs simplify the development process by offering pre-trained models and standardized methods for different tasks. These include image recognition, natural language processing, and predictive analytics. This accessibility democratizes machine learning so that developers of varying expertise can leverage cutting-edge technology efficiently.

What comes to mind when you think of an outdated website? Your answer will depend on how far back you’ve seen the internet, but it could range anywhere from glossy interfaces to the default blue, Times New Roman links. But even a few years of age could put your website behind the competition, even if it doesn’t look like MySpace or the first version of IMDB. Its audience and goals could outgrow its design, especially if you don’t make small changes often.

Most developers who upload mobile apps to the App Store or Play Market have likely encountered unexpected bugs in new releases. To address this issue, a new build with the fix must be created and checked again by the platform where they are uploading. They also have to wait for the approval process again for the new version to be released. Unfortunately, this entire process takes a considerable amount of time, but there is an alternative way.

The surge in data creation and interactions over the past few decades presents unprecedented challenges for organizations. Many are grappling with widely dispersed applications and data to navigate this data deluge. Gartner’s survey found that organizations with poor data quality would incur losses of an average of $15 million per year. The findings also shared that almost 60% of organizations surveyed were unaware of how much insufficient data costs their business due to a lack of measurement.

Privacy and security are top priorities for Unravel and our customers. At Unravel, we help organizations better understand and improve the performance, quality, and cost efficiency of their data and AI pipelines. As a data business, we appreciate the scope and implications of privacy and security threats. This data sheet provides details to help information security (InfoSec) teams make informed decisions. Specifically, it includes: For additional details, please reach out to our security experts.

In the pharmaceutical industry, an effective supply chain is critical, not only for operations but also for ensuring the safety and quality of products going out to market. The complex nature of pharmaceutical supply chains, combined with their stringent regulatory requirements, makes risk management a top priority.