Jacek Chmiel, Global Chief of Consulting & Technology at IT Services Competence Platform:
It’s getting harder, at least for us CTOs, to believe that the majority of enterprise workloads still aren’t in the cloud. With continuous exponential growth, that means there’s a lot of effort ahead of us to help move enterprises into the cloud. The multi-cloud is becoming the new norm, but it complicates the infrastructure even further. Serverless, and stateful containers, are my top choices among cloud-native machine learning solutions delivered by all major cloud providers. Containers were a novelty not too long ago; they’re already a commodity. And let’s not forget about Edge, especially with the intersection of the launch of 5G and the new “everything is connected” reality.
Lyubomyr Senyuk, CTO and Head of R&D at CoreValue:
The cloud as a concept is a really wide-ranging topic. To be more specific, let’s think about cloud computing and the global tendency to send volumes of information to the cloud, requiring immediate response. Let’s imagine we’re sending 40fps video from a security camera to the cloud for face tracking and face recognition. The task is pretty simple, the technology is in place: just send the images and the cloud will do the job. However, do we really need the cloud to see each frame in HD resolution? Usually we don’t. In this example, we might only need it to have 128-dimensional embedding, face frame position and size, and that’s it. So in general, we will have to find a way to make some pre-calculations closer to the data source. Thus, despite the global tendency to move enterprises to the cloud, the tendency of moving cloud computing to Edge computing may have interesting implications in 2019, especially with the rise of the IoT.
Kacper Ryniec, Software Development Lead at Solidbrain:
It’s already been a long time since the cloud became far more than just VM’s on demand. In 2018 AWS offered about 150 different services grouped into about 20 categories. Microsoft’s Azure now offers its services in over 50 physical locations around the world. The rapid growth of the catalog of cloud services brings tons of value, yet the challenges are widespread. Using the proper architecture, finding specialists with a deep understanding of what’s going on under the hood, building solutions that fully utilize the potential of 2019’s cloud: These are the critical success factors for cloud adoption.
Roland Guelle, CTO at Sevenval:
The cloud’s major benefits are elasticity and scaling. While these benefits are great, they also entail new challenges for developers. Namely, they have to:
– … understand what is really going (wr)on(g) in a complex setup,
– … run a dev-test-run-environment with cloud native functions,
– … deal with proprietary cloud features and a “portable” architecture.
Addressing these issues and solving them makes you a “cloud Yoda”.’
In the next Tech Trends blog series post we will continue to analyze trends and delve deeper into artificial intelligence. Stay in the loop by following our LinkedIn updates.
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