Remove Automotive Remove Cloud Remove Microservices Remove SDLC
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Kubernetes and Artificial Intelligence/Machine Learning (AI/ML) — Four Things to Understand Today

Blue Sentry

consumer goods, energy, healthcare, logistics, automotive, etc.) Even if they do, many projects get stuck in the ever-so-fragile SDLC. Cloud Computing Holds the Key to ML Computing Woes. So, the issue of computing is entirely solved by cloud computing. Companies in producing industries (e.g., The first challenge (i.e.,

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What CEOs really need from today’s CIOs

CIO

But don’t attempt to create a modern software development lifecycle (SDLC) on an industrial era infrastructure. The target architecture of the data economy is platform-based , cloud-enabled, uses APIs to connect to an external ecosystem, and breaks down monolithic applications into microservices. The cloud.

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