- Dedicated Group Coach
With Active Group Work
Artificial Intelligence: Principles and Techniques
Gain the knowledge and confidence to leverage Artificial Intelligence for competitive advantage.
|Cornell University, USA||New York University, USA|
|Cox School of Business, SMU, USA||Stanford University, USA|
|IBM||University of Sheffield, UK|
- A program designed to stretch your thinking.
- Connecting you to the best faculty worldwide
- Delivered via live virtual teaching on the Igesia learning platform
- Integrated with group work on real world projects
About the Program
Artificial Intelligence (AI) has emerged as one of the most important disruptions facing business and society over the next several decades. The confluence of rapid progress in computation, big data and analytics has accelerated technological change and has introduced a new urgency into understanding the impact of AI on business, government and society.
Strategies regarding the effective application of AI to business need to be articulated and executed. There will be significant new opportunities as the underlying forces of AI disruption and value creation are leveraged. Succeeding in this rapidly changing world will require both a solid understanding of AI enabled products, services and business models and an inspirational leadership style to be bold, take risks and lead complex change.
What you will learn
The goal of this course is to provide an effective combination of theory and practice of AI. Lectures and case studies will provide a rich forum for in-class discussions. You will assemble key insights along three important dimensions:
Core AI technologies
The program will provide an overview of the key underlying technologies of AI along with an indication of forthcoming trends. No prior programming knowledge is required.
Innovative business applications of AI
Examples of innovative applications of AI in various sectors will be covered along with their strategic rationales and implementation challenges.
Human and societal implications of AI
AI for the good of all is a key theme as AI systems are deployed and trust in AI systems is engendered in society.
World Class Faculty
You will learn from world class faculty in this program from leading business schools and global corporates.
Professor Michael Spence
Nobel prize winner for economics in 2001, together with George Akerlof and Joseph Stiglitz for their analyses of markets with asymmetric information, Michael Spence is senior professor at the Department of Economics at Bocconi University and professor in the MBA program at SDA Bocconi. In 1981 he was awarded the John Bates Clark Medal from the American Economic Association.
Spence is also Professor in Economics & Business at the New York University Stern School of Business and Professor and Dean, Emeritus, at the Graduate School of Business, Stanford University. Michael Spence is currently a senior fellow at the Hoover Institution, serves as co-chair with Joseph Stiglitz of the Commission on Global Economic Transformation and is Senior Advisor at General Atlantic and a Senior Advisor at Jasper Ridge Partners.
He is the co-chair with Dr. Victor Fung, of the Advisory Board of the Asia Global Institute at Hong Kong University. Spence serves on the Advisory Board of the School of Economics and Management at Tsinghua University in Beijing. Spence chaired a global Commission on Growth and Development (2006-2010), addressed to growth issues in emerging economies.
Professor Amit Basu
Professor Amit Basu is the Carr P. Collins Endowed Chair at the Cox School of Business at Southern Methodist University in Dallas, where he also chairs the IT and Operations Management department.He served as the President of the INFORMS Information Systems Society in 2012 and 2013.
Professor Basu has also been a faculty member at Vanderbilt University and the University of Maryland at College Park, and a visiting professor at INSEAD, the Vlerick Management School in Belgium and the Indian Institute of Management.Professor Basu’s research and teaching interests are in the areas of knowledge and data base systems, decision support systems, digital strategy, electronic commerce, and workflow management. He has published technical papers on these topics in a variety of leading publications, both major academic journals and business publications such as the Sloan Management Review and the Wall Street Journal. He has chaired the organizing committees and program committees for several international conferences and served on the editorial boards of the top academic journals in the Information Systems field.
In addition to his research and teaching, Professor Basu has been a consultant and advisor to a number of private and public sector organizations, both in the USA and Western Europe, including Dow Corning, Cisco, Accenture, IBM, Belgacom, Merck, eTex, Leonidas, State Industries, the State of Maryland and the Government of Flanders in Belgium. He has also served as an expert witness in e-Commerce and IT, and as an advisor to several technology ventures. He received his Ph.D. from the University of Rochester, his M.B.A. from Southern Illinois University, and his B.Tech. in Electrical Engineering from IIT Delhi.
Professor Lutz Finger
Professor Lutz Finger is a Data Scientist in Residence at Cornell University. He runs the highly successful course “Designing Data Products” and is the author of the book “Ask Measure Learn.” Lutz heads up the predictions efforts in Google health. At Snap Inc. Lutz has built the data science and data analytics team.
At LinkedIn Lutz has led the Economic Graph Challenge – an exercise where LinkedIn data is used to create innovative products.As co- founder and former CEO of Fisheye Analytics, a media data-mining company, he supported governments and NGOs with data insights. Fisheye Analytics was acquired by the WPP group. He has an MBA from INSEAD, as well as an MS in quantum physics from TU Berlin.
Dr. Sriram Raghvan
Sriram Raghavan is Vice President for IBM Research AI. In this role, he has overall responsibility for establishing IBM’s research portfolio in artificial intelligence (AI) and overseeing the execution of this agenda across IBM’s research labs across the globe.Prior to his current role, Sriram was the Director of the IBM Research Lab in India and the CTO for IBM in India/ South Asia.
Sriram also works closely with all of the commercial divisions in IBM to drive research advancements in AI into IBM’s software and services offerings.Sriram began his career in IBM at the Almaden Research Center in San Jose, California, USA where he led a variety of research efforts at the intersection of artificial intelligence (specifically natural language processing), large scale data management, business analytics, and distributed systems.Sriram is an alumnus of Stanford University, USA and the Indian Institute of Technology, Chennai, India.
Professor Soumitra Dutta
Soumitra Dutta is a Professor of Management at and the former founding dean of the SC Johnson College of Business at Cornell University, New York.He is also the founder and President of Portulans Institute, a non-partisan nonprofit research and education institution based in Washington DC.He is also the Chief Academic Advisor to the Artificial Intelligence Forum of the Confederation of Indian Industry.
He is the founder of the Global Innovation Index, published by the World Intellectual Property Organization and was the co-editor of the Global Information Technology Report, published by the World Economic Forum – two influential reports in technology and innovation policy.Dutta is on the global boards of Sodexo and Dassault Systemes. He is also a member of the Shareholder Council of Chicago-based healthcare consulting company ZS Associates. Dutta is a member of the Davos Circle, an association of long-time participants in the Annual Davos meeting of the World Economic Forum. He was the co-chair of the World Economic Forum’s Global Future Council on Innovation Ecosystems.
Professor Yorick Wilks
Yorick Wilks is Visiting Professor of Artificial Intelligence at Gresham College, London, Professor of Artificial Intelligence at the University of Sheffield, and a Senior Scientist at the Florida Institute for Human and Machine Cognition.He led the team that won the Loebner Prize for the best computer conversationalist in New York in 1997.
He writes and researches in the fields of artificial intelligence and the computer processing of language, knowledge, and belief, in particular on the possibility of software agents with identifiable personalities.He is a Fellow of the Association for Computing Machinery (ACM), and of the European and American Societies for Artificial Intelligence, a recipient of the British Computer Society’s Lovelace Medal (for research); of The European Commission’s Zampolli Prize, and of the Association for Computational Linguistics Lifetime Achievement Award in 2009.He has written or edited ten books of which the most recent (2019) is “Artificial Intelligence: Modern Magic or Dangerous Future?”.
Your Learning Journey
During the program you will have the chance to learn from world class faculty through live virtual lectures . You will interact with industry executives and better understand ongoing global trends. You will be given the opportunity to work in groups on projects of relevance to your business contexts.
Who should take this course?
This program is designed for a broad range of executives across industry sectors. Managers of all functions and senior executives can learn to effectively analyze, articulate and apply key AI management and leadership insights in their teams and organizations.
This program will benefit you if
- You are seeking to enhance the innovation readiness of your firm.
- You are interested to learn more about the leading trends in AI technologies such as machine learning, robotics and natural language processing.
- You are keen to apply AI to drive business innovation and new product development.
- You want to use the power of AI to deliver more value to your customers such as through personalization and new value adding services.
- You are a senior executive wishing to create a strategy for applying AI within your organization.