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Machine Learning Modeling
AI – POZ provides Machine Learning as a Service model. Before you commit to large scale AI, ML and IoT projects, we are your first engagement to test your projects in a pre-role out phase, to enable you to make the right decisions before making significant capital investments.
AI – POZ facilitates the building of virtual AI, ML and IoT labs, where we provide all the services, infrastructure and expertise to give you actionable insights.
AI – POZ consulting support allows you to work with us to look at potential projects you are considering.
AI – POZ consulting is about helping you on the journey to finding what potential areas and or projects your organization should engage around to get the best outcomes for AI, ML and IoT implementations within your organization.
AI – POZ solution gathers, analyses, and combines various data streams in real time to bring quick benefits operationally.
AI – POZ facilitates the building of virtual sensors to match operational realities.
AI – POZ provides enhancing capabilities to controllers, such as linear and non-linear Model Predictive Controls (MPCs) or fuzzy systems, with the use of virtual models of processes through digital twins.
Th digital twins of the process enables search for controller’s optimum parameters, leading to more stable processes. This leads to achieving higher production and quality levels or decreasing energy consumption.
AI - POZ Data Engineering Services is a collaborative approach to leveraging your organization's data assets.
We collaborate with you to identify and leverage your big data, perform exploratory data analysis (EDA), and Extract, Transform and Load (ETL) to build data warehouse sfor your AI/ML and IoT projects.
Actionable processes are generally by nature nonlinear and time-varying: Actions taken in the past that were optimal to achieve specific goals may be suboptimal or even inefficient for the current state.
AI – POZ with its ML models continuously adapts to changing conditions in search of optimal operating parameters and targets leading to optimization goals.