IBM
AI applications focus on customer experience, risk, brand loyalty, security, personalization, and fraud reduction.
EXECUTIVE EDUCATION
EXECUTIVE EDUCATION
TBD
10 weeks, online
4-6 hours per week
Special pricing up to 20% discount is available if you enroll with your colleagues. Please send an email to group-enrollments@emeritus.org for more information.
Business executives, division managers, and IT specialists need to have a fundamental understanding of how to integrate Artificial Intelligence into their business plans. Even executives in non-technical fields are finding that they must understand the elements of algorithms and machine learning in order to communicate effectively about AI solutions with their stakeholders, developers, and data analysts. When you complete this course, you will understand not only how machines can mimic the perception and learning of the human mind, but also how AI-enabled applications can increase efficiencies and improve your organization’s competitive edge, particularly for those in the financial sector, retail, and health care.
AI for Business is designed to prepare you to build a custom AI application for your own organization, so the focus is on exploring practical frameworks, models, and industry-specific applications that you can integrate into your own AI plan.
AI for Business is designed for non-technical or moderately technology-focused executives, division presidents, vice presidents, and mid-career professionals who want to implement and manage practical applications of AI and data analytics to solve their real-world business problems. It will be particularly useful for leaders in the banking, financial services, insurance, health care, retail, and IT industries – those industries experiencing digital disruption. Here are some roles well suited to this course:
At Columbia, Dr. Maskey teaches Statistical Methods for Natural Language Processing and Programming for Entrepreneurs. He is the founder and CEO of FuseMachines Inc., an advanced machine learning company that builds state-of-the-art software robots for automating customer service departments. The City Government of New York is one of its biggest clients.
Dr. Maskey is one of the core research scientists at IBM T.J. Watson Research Center, responsible for the DARPA-funded Speech-to-Speech Translation project. He is a member of the International Speech Communication Association, Institute of Electrical and Electronics Engineers, and Sigma Xi Research Society...
More infoDr. Sameer Maskey
Adjunct Assistant Professor, Columbia University
At Columbia, Dr. Maskey teaches Statistical Methods for Natural Language Processing and Programming for Entrepreneurs. He is the founder and CEO of FuseMachines Inc., an advanced machine learning company that builds state-of-the-art software robots for automating customer service departments. The City Government of New York is one of its biggest clients.
Dr. Maskey is one of the core research scientists at IBM T.J. Watson Research Center, responsible for the DARPA-funded Speech-to-Speech Translation project. He is a member of the International Speech Communication Association, Institute of Electrical and Electronics Engineers, and Sigma Xi Research Society. He speaks Newari, Nepali, Hindi, and English.
His primary research interests are natural language and speech processing, speech-to-speech translation, information extraction, data mining for medical domain, and statistical methods/machine learning for language processing. Dr. Maskey holds a PhD, a MPhil, and an MS in computer science from Columbia University and a BS in math and physics from Bates College.
AI applications focus on customer experience, risk, brand loyalty, security, personalization, and fraud reduction.
AI applications in retail focus on customer experiences, logistics networks, and internal operations.
AI applications in finance include governance and compliance, in retail on customer experience, and in health care on automating processes.
AI opportunities focus on the use of robotics in healthcare.
Potential AI applications for financial institutions focus on customer experience and employee productivity.
Explore the aggregated highest potential use cases, trending use cases, and savings generated by AI in banking.
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Upon successful completion of the course, participants will receive a verified digital certificate of completion from EMERITUS in collaboration with Columbia Engineering Executive Education.
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