Bringing Smart Monitoring Applications into production is a challenge. Modern MLOps methodologies, architectures, and frameworks are up to this challenge. Download the white paper to learn more about successful deployment, maintenance, and scaling of Smart Monitoring Applications to drive the transition to Industry 4.0 and solve real world industrial problems.
Finding performant solutions to the challenges in deploying machine learning models is key to success. This whitepaper gives deeper insights on infrastructural challenges to overcome and illustrates how a framework built around Kubeflow and Seldon offers a flexible deployment methodology providing the performance necessary to successfully leverage MLOps for Smart Monitoring use cases.
Seldon was founded in 2014 with a simple yet ambitious aim: accelerate the adoption of machine learning to solve some of the world’s most challenging problems. Since then, they have attracted over £10m in venture funding, enabling the organisation to build a community of highly talented ML experts dedicated to solving the challenges faced by every organisation working with machine learning and AI. Their customers and users have collectively deployed more than five million models in thousands of organisations across the world, including AstraZeneca, H&M and Capital One.
As part of the Reply group, Data Reply offers a wide range of services that support customers in becoming data driven. We operate in various industries and business areas and work intensively with our customers so that they can achieve meaningful results through the effective use of data. Data Reply offers many years of experience in transformation projects to achieve “data-driven companies”. We focus on the development of data platforms, machine learning solutions and streaming applications - automated, efficient, and scalable - without making any compromises in IT security.