Topics: AI for Business

Marianne Rojo joins Silo AI to accelerate the adoption of AI

Our fast-growing business development team is happy to welcome a new member, Marianne Rojo, to join Silo AI as a Business Development Executive. Marianne, or Mandi as friends like to call her, is an experienced sales leader specialized in selling complex artificial intelligence solutions and managing large accounts. Having successfully led a sales career focusing on global enterprises, most notably IBM and Fujitsu, Marianne will drive the development of AI and MLOps particularly in the industrial and public sectors.

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Physical AI Systems — AI with a body

An embodied AI system can actively perceive the world around them in order to gather information through sensors such as vision, process this information on different cognitive levels, both autonomously and in interaction with a human, and finally make plans or decisions based on the outcome. In the autonomous vehicle case, the internal processing consists of planning future driving actions in interaction with the surrounding world and possibly also with a driver.

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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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