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Speaker "Madhukar Gaganam" Details Back

 

Topic

Strategic Planning in Digital Business Era

Abstract

With the availability of technology enablers such as Internet of Things (IoT), Edge Computing, Big Data, AI- Machine Learning (ML) and Deep Learning algorithms, many smart systems are being designed to provide services that enhance the quality of human experience leveraging cognitive computing. A few examples of this includes autonomous driving, cyber physical systems, chatbots, cobots, etc. Considering cognitive computing as indispensable and core in developing smart systems in digital business era, would start impacting every business across every vertical whether small, medium or large. In my talk, I would like to propose formulation of a strategy that enables such an enterprise journey as current strategic planning based on logical approaches hinders the agility of outcomes within the enterprise due to separation of human factor or cognitive biases from strategy design of any transformational initiative.

Profile

Mr. Gaganam is a quintessential leader consistently successful in defining business and technology enablement strategies and translating them into high-impact actions, operations and financial outcomes. Expert in identifying enterprise performance improvements through assessments, research, market studies and behavioral sciences. With over 24 years in technology industry, he brings a wealth of expertise in Strategic Planning and Execution, Industrial Automation, Enterprise Architecture, Product Life Cycle Management, Application Life Cycle Management, Quality Assurance and Cognitive Design He cofounded the management consulting firm Logical Heuristics which has developed pioneering pragmatic frameworks and methodologies to address strategy design and execution in Digital and Cognitive era. Before that, he worked for companies such as Gartner, NXP Semiconductors and Tech Mahindra with delivery responsibilities around Operational Excellence, Innovation and Customer Experience. He is currently member of IEEE-HKN Alumni with active leadership and participation in technical committees and societies associated with Robotics & Automation, Computational Intelligence, Industrial Informatics, Technology and Engineering Management.