Building Analytics Platform for Operationalising Machine Learning

Data science is shaping modern businesses into data-driven organisations, with data at the epicenter of boosted profits, saved costs, and industry disruption. Handling and managing Big Data has emerged as a key modern competitive advantage. Hence, having and maintaining a proper analytics platform is crucial for the development and growth of an organisation. But managing and analyzing all that data comes at a cost. Advanced analytics and machine learning projects only show benefits when put into production operation. Modern Organisations are looking to build a platform that can facilitate operationalising advanced analytics, including machine learning, and build deeper predictive analytics into their products & services. Join us for a discussion where industry speakers from Philips, Micro Focus & Tech Mahindra will present the intricacies of establishing an analytics platform that can build a culture of advanced big data analytics that help successfully operationalise machine learning: •How to identify the right fit analytics platforms to support ML •How to systematically productize machine learning & deploy analytical insights •The skills and resources needed for successfully setting up an analytics platform •The maintainability and scalability challenges •Recommendations for data and analytics leaders