ML engineering can be defined as the technical systems and processes associated with the stages of the ML lifecycle (also referred to as MLOps cycle) from data preparation, modeling building, and production deployment and management. While ML engineering entails the provisioning, deployment, and management of infrastructure that enables model building, data labeling, and model inference, it can go much deeper than that ...

Infrastructure-as-code (IaC) is regularly used by DevOps teams. However, the increasing complexity of things like data center configurations, security requirements, and changing guidelines means IaC is poised for an overhaul ...

Today, native mobile developers are in high demand — and rare. Accessibility-first mobile developers are absolute unicorns. But this must change — and quickly. Look at these statistics ...

Between the impact of COVID-19, shifting customer demands, and a surge in digital transformation, small to midsize business (SMB) owners in retail have been faced with great change in the last couple years. To find out just how much these disruptions have impacted retailers, we surveyed key thought leaders and decision makers at SMB retail companies. The results identified both the critical challenges faced by SMB retailers and the tech initiatives they' re implementing to offset those challenges. Based on our data, we've parsed out three key findings that will help small business owners navigate the new normal ...

When execs talk with me about their desire to bring their teams back into the office in this new, post-pandemic world, the main argument I hear centers around the concept of "culture." An amorphous feeling that a return to the office is essential for teams to remain effective. "But," I ask, "weren't your teams effective during the pandemic when we all had no choice but to stay home?" ...

The biggest challenge in today's environment is blending security into the development process. All companies have different software development life cycles (SDLC), infrastructure, repositories, availability, deployment areas (think cloud, on-premise, hybrid), accesses, etc.The balance of slowly introducing security, ideally with the biggest impact at the smallest cost (this could be financial or time and effort), into an already established life cycle is key ...

DevOps is not a tool in itself. You can't download it. It is made up of tools and methods and a whole way of working — the DevOps culture. At its core, DevOps is about creating an open, regular flow between operations and development — and therefore clear communication and collaboration is essential. With demand increasing to build innovative systems to attract and retain customers, a cohesive DevOps culture can be the differentiator that puts you at the forefront of commercial growth ...