Jukka Remes

Jukka Remes

Jukka works at Silo AI as Lead AI Solutions Architect. Jukka is a PhD in Advanced Analytics with 20+ years of experience from developing machine learning and data analytics solutions particularly in healthcare and medical technology. At Silo AI, Jukka focuses on building solid AI/ML solution architectures and MLOps together with our clients to ensure successfully scaling AI. During his extensive career in ICT, Jukka has worked as a business development executive for Watson Health products and ecosystem at IBM and in product R&D at Nokia Technologies and at Nexstim, and as a research engineer in clinical and research teams at Oulu University Hospital.

Scale your AI processes with Silo Operating Software

In this article, I’ll shed a light on what are the ready-made configurable components in the area of Cloud AI & MLOps that we have built to speed up AI

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What is MLOps from R&D and business perspectives?

Machine learning operations (MLOps) is about making machine learning development activities systematic and connecting the machine learning projects to the company’s business and IT infrastructure while bringing automation to the

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MLOps is not a platform, it’s a human process assisted by platforms

Machine learning operations, MLOps, is the organizational practice for operationalizing AI and accelerating ML development in a sustainable way. Once you’ve validated a couple of AI use cases by pilots and proofs-of-concept, scaling the development and the use of AI in your organization will require both a solid machine learning infrastructure and an aligned way of operating.

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