While CI/CD is synonymous with modern software development best practices, today’s machine learning (ML) practitioners still lack similar tools and workflows for operating the ML development lifecycle on a level on par with software engineers. For background, follow a brief history of transformational CI/CD concepts and how they’re missing from today’s ML development lifecycle.
It’s easy to take continuous integration (CI) and continuous delivery/deployment (CD) for granted these days, but these have been transformational concepts that have drastically changed the face of software development over the past thirty years.
Hello, I’m Imogen Heap – musician and tech founder. Now, I know what you might be thinking. Why is a musician and composer talking to me about data? Well, for any of you that follow my work, you will know that I am a bit of a data nerd, and that’s why I loved speaking to Joe DosSantos on the latest Data Brilliant podcast. A lot of my music is powered by data. In fact, Joe and I discussed my love for how technology and data inspires me to be more creative. Want to know how?
Marketing teams routinely struggle with monitoring the performance and cost of their ad campaigns. Now, they have a solution that can be as easy as just a few clicks. We recently joined our partners at Rivery for a webinar demonstrating the new Anodot Markering Analytics Monitoring Kit. The kit allows users to track marketing campaigns in real-time and take the action needed to make the most of ad spend.