AI-Driven Automation of Complex Knowledge Processes

A premier university in Asia, the Singapore Management University (SMU) is internationally recognised for its world-class research and distinguished teaching. Established in 2000, SMU’s mission is to generate leading-edge research with global impact and produce broad-based, creative and entrepreneurial leaders for the knowledge-based economy. SMU education is known for its highly interactive, collaborative and project-based approach to learning, and for its technologically enabled pedagogy of seminar-style teaching in small class sizes.Home to around 9,300 undergraduate, postgraduate, executive and professional, full- and part-time students, SMU is comprised of six schools: School of Accountancy, Lee Kong Chian School of Business, School of Economics, School of Information Systems, School of Law, and School of Social Sciences. SMU offers a wide range of bachelors', masters' and PhD degree programmes in the disciplinary areas associated with the six schools, as well as in interdisciplinary combinations of these areas.SMU has an emphasis on generating rigorous, high-impact, and relevant multi-disciplinary research that addresses Asian issues of global relevance. SMU faculty members collaborate with leading international researchers and universities from USA, Europe, China and India, as well as with partners in the business community and public sector, through its research institutes, centres and labs. SMU’s city campus is a state-of-the art facility located in the heart of downtown Singapore, fostering strategic linkages with business, government and the wider community.

Singapore Management University

Knowledge Process Optimization and how advanced AI-engineered information access and extraction solutions can help companies to optimize

Dr. Guillermo Infante is the Chief Technology Officer of TAIGER, a global Artificial Intelligence company. In this webinar seminar, he will share his knowledge and the pioneering work he has done on Knowledge Process Optimization and how advanced AI-engineered information access and extraction solutions can help companies to optimize operational efficiencies, reducing costs, and human risks.

<h3>Dr. Guillermo Infante</h3>CTO, TAIGERGuillermo Infante is the Chief Technology Officer of TAIGER, a global Artificial Intelligence company headquartered in Singapore with offices in five other countries across Europe, America and Asia-Pacific. He leads the technology team to develop cognitive solutions that help organizations to optimize operational efficiencies. With over a decade in the computer science and software engineering fields, Guillermo drives research and development projects with Artificial Intelligence and Semantic Technologies.

His career interest is mainly on AI, Natural Language Processing and Understanding, as well as Knowledge Representation and Reasoning. Guillermo holds a Ph.D. in Computer Science and an MSc degree in Web Engineering from the University of Oviedo (Spain), and an executive MSc degree in Innovation Management from the EOI Business School (Madrid, Spain).

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AI-Driven Automation of Complex Knowledge Processes

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