The key challenge, as Cornelia rightfully pointed out, is the distributed nature of working and the decentralized infrastructure. Data is generated in different formats, on different types of devices, and even on different versions of the device. You’re getting your computation and your data closer to where it is needed, but data lineage and data provenance become increasingly difficult. Connectivity is another data-centric challenge. In the future, if you want to tap into the data created at the edge, it needs to come back to the cloud. Lack of reliable communications is a hindrance. Your developers work hard to accelerate feature velocity, improve and test software quality, and secure your pipelines. But the best codebase isn’t enough: it has to survive in the real world. Nowadays the software you create may be delivered as a dedicated or multitenant SaaS experience hosted on your infrastructure, but in many cases you instead distribute software images, usually as containers, for customers to run in their own environments. This creates all kinds of issues. While containers are designed to be portable, customer Kubernetes environments vary tremendously — and so do the skills and experience of their operations teams. If you simply provide them with a Helm chart you’re taking a risk. It can be challenging to ensure that every customer has a good ‘out of the box’ experience deploying your software. RapidAI’s flagship product helps clinicians analyze medical images to detect stroke. The software is deployed in around 2,250 hospitals across 100 countries. Currently, it processes around 14,000 scans per day. We take our responsibilities seriously, and ensure that our business processes and technology are compliant with the highest standards, from ISO 27001 to SOC 2. Whatever your software, whatever your delivery model, we can help you deliver a great customer experience — quickly, efficiently, and securely. Set up a consultation today by speaking to your preferred technology partner, or visit our website.