Systems | Development | Analytics | API | Testing

March 2022

DataOps Observability Datasheet

Unravel’s AI-enabled full-stack observability for the modern data stack simplifies the way data teams monitor, observe, manage, troubleshoot, and optimize the performance and cost of large-scale data applications. Unravel also accelerates data migration to the cloud by providing a data-driven assessment plan to save time and cost while also enabling you to deploy effortlessly.

Continual is SOC 2 compliant

Continual is proud to announce that we are now SOC 2 Type 1 certified and compliant and SOC 2 Type 2 in progress. This certification is a publicly visible milestone that demonstrates our core commitment to keeping your data secure. We expect to make additional announcements around our security certification efforts over the coming months. Beyond third party attestations, Continual is built from the ground up with data security and governance in mind.

The Business Benefits of AI-Powered Analytics

Everyone from managers to C-suite executives wants information from analytics in order to make better decisions. Business analytics gives leaders the tools to transform a wealth of customer, operational, and product data into valuable insights that lead to agile decision-making and financial success. Traditional business intelligence and KPI dashboards have been popular solutions but they have their limitations.

AI and Machine Learning: how are they changing the mobile testing landscape?

By incorporating AI and machine learning into mobile testing tools, teams can become more efficient in test automation. In this article, we'll look at how the adoption of AI and machine learning will improve these tools and what the future of testing might look like.

Feature Engineering for Modern Data Teams

Feature engineering is a crucial part of any ML workflow. At Continual, we believe that it is actually the most impactful part of the ML process and the one that should have the most human intervention applied to it. However, in ML literature, the term is often overloaded among several different topics, and we wanted to provide a bit of guidance for users of Continual in navigating this concept.