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.

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

‍ A survey suggests that 61% of companies' compliance teams have identified that keeping abreast of upcoming regulatory changes should be a top strategic priority. This indicates that businesses are not only striving to meet current compliance requirements but are also proactively staying ahead of them. However, maintaining such compliance requirements needs tight security strategies.

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.

Generative AI doesn’t just work with unstructured data.

The latest release of Helix QAC and Klocwork features significant improvements to the static analysis tools, empowering development teams to shift left by fixing errors early, reducing development costs and releasing faster. Here, we provide an overview of the new features and functionality of the 2024.2 release.

When using MySQL and InnoDB you will inevitably run into lock timeouts sometime, somewhere. We have recently started seeing this with some of our Shopware 6 customers in their storefronts or worker queues, so I was reminded to go back to 2017 in our codebase when we put a fix in place. In our case, this happened on tables that were constantly written to from many different sources in the code base.

In the ever-evolving landscape of software testing, the transition from manual to automated testing is a journey filled with misconceptions, challenges, and significant rewards. Recently, I had the privilege of hosting a conversation with two industry experts, David DiCocco and Alex Martins, who shared their personal experiences and insights on this topic.

IoT is driving the digital metamorphosis in the banking industry. The surge in internet-enabled devices, like smartphones, tablets, and smartwatches, signifies an increase in opportunities for fintech software development to scale their business through the Bank of Things (BoT). IoT technologies are enabling real-time connections, making banking more efficient and customer-centric.

‍McKinsey’s latest research projects that generative AI could contribute between $2.6 trillion and $4.4 trillion annually across various sectors. Experts have also observed that integrating AI-driven automation, threat detection, and low-code platforms redefines next-gen software development. Whether it is code generation, bug fixing, or even designing a new digital component, generative AI is seeping into all product engineering processes.