Title Vice President, Technology Optimization Company Ticketmaster Bio A hands on leader with a passion for innovating on technologies, building effective teams and a focus on delivering competitively superior technology solutions to the business while growing people in the organization and quantifying IT transformation. Technical, Functional, Business, and Economics strategist for intelligent workload allocation modeling and decisioning frameworks for all types and service class tiers of workloads across F500, to SMB, to Tech Heavy Web Scale enterprises. Digital service efficiency expert to help enterprises be aware of the cost of compute consumption today, architect optimal L1-7 stacks, provide interactive data visualizations to easily evaluate all viable IT infrastructure resource pool options, and execute the optimal enterprise IT application centric and developer centric workflows using people, process, and technology ecosystem to achieve the modeled results. Striving to achieve 'SHINE CAFE' or Self Healing Intelligent Networked Environment and Cognitive Application Focused Environments as a key component that will blend robotics process automation and intercloud interoperability with coming functional, process, and policy interactions to enable actions to instantly scale, migrate, administer, model, and decide autonomously how to best service the applications needs. CAFE strives to deliver on the agility, performance, quality, and elasticity requirements with serverless and containerized technology stacks. IT management must have the digital economics reports, dashboards, interactive decisioning frameworks to prove that the enterprise IT budget $ is being spent better than last year in the context of that Enterprise Business Unit’s unique needs. I do that by combining the vision, context, existing IT estate and all these facts to produce these ITBM and ITFM valuable insights to quantify IT transformation, quantify agility of IT, and track personal progress of implementing innovation by Enterprise IT executives.