“The Good, the Bad, and the Ugly” of Machine Learning

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Expert practitioners from leading organizations met in Dallas to discuss the business challenges that are causing companies to seek solutions using machine learning (ML) technology, as well as challenges with adoption and impacts of the technology on their organization. To this end, participants explored how organizations invest time, resources, and funding to enhance complex business opportunities and processes to achieve the desired ROI, as well as the organizational impacts of ML-enabled automation on the workforce, products, and services.

Use cases centered on automating consumer preferences and recommendations, process optimization and orchestration, asset monitoring and predictive action, and business insights in Robotic Process Automation (RPA), Intelligent Virtual Agents (IVA), and Computer Vision (CV) applications of ML. Organizational impacts included lessons learned from leading through continuous change, and workforce development through up-skilling, re-skilling and STEM education (science, technology, engineering and mathematics).

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