Machine Learning Operations (MLOps), the AI Productivity Fast Track
The decision to integrate machine learning (ML) into systems and operations is not one that is made lightly. Aside from the costs of acquiring the technology tools, there are added considerations such as staff training and the expertise required to improve ML operations (MLOps) capabilities.
An understanding of the ML cycle before deployment is key. Once requirements and vision are defined, the appropriate tools are acquired. ML specialists will then analyse and perform feature engineering, model design, training, and testing and deployment. This is also known as the dev loop. At the implementation stage, the ML model is deployed and the application is subsequently refined and enhanced. The next stage is the monitoring and improving stage where the organisation refines the model and evaluates the ROI for its data science efforts. This stage triggers the retraining of the model through data drift and monitoring.
About The Advisor
Dr. Philip Nesci is an IBRS advisor specialising in digital transformation, Cloud strategy and analytics, cyber resilience and risk management, and large scale program management. Philip has an extensive track record as a CIO and an Executive in global commercial organisations such as Shell, Orica and China Light and Power, where he has orchestrated and delivered major organisational transformations enabled by technology. More recently as CIO of Monash Health and the Australian Red Cross Blood Service, Philip has focused on the Health sector and in Government leading a number of programs which have significantly reshaped the customer experience and engagement, underpinned by cyber resilience. Philip’s approach to strategy development and implementation is achieved through strong leadership and extensive engagement with Boards and Executives. Philip’s blend of business and technology experience across a wide range of industries and enhanced by working extensively in Australia, Europe, Asia and the USA, provides him with unique understanding in successfully planning and executing digital strategies to reshape business.