EXECUTIVE EDUCATION

Artificial Intelligence For Business

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Course Dates
DEADLINE EXTENDED

December 7, 2020

Course Duration

DURATION

10 weeks, online
4-6 hours per week

Course Duration

PROGRAM FEE

US$1,950

Course Information Flexible payment available
Note: This program includes a scheduled break for the holiday season. There are no assignments, submissions, or sessions held between December 25, 2020 – January 1, 2021.

Why Enroll In AI For Business?

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.

Key Takeaways

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.

Who Is This Course For ?

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:

  • Analyst
  • Business Head
  • Chief Executive Officer
  • Chief Financial Officer
  • Chief Marketing Officer
  • Chief Technology Officer
  • Customer Service Director
  • Director of Operations
  • Director of Strategy
  • Division Vice President
  • Engineer
  • Executive Director
  • Marketing Manager
  • Product Manager
  • System/Enterprise Architect
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Modules

Module 1 :

AI Overview

Module 2 :

Optional Python Module

Module 3:

Building a Machine Learning Model for AI Solutions

Module 4:

Building AI Systems for Customer Service

Module 5 :

AI for Finance

Module 6 :

AI for Retail

Module 7 :

AI for Health Care

Module 1 :

AI Overview

Module 5 :

AI for Finance

Module 2 :

Optional Python Module

Module 6 :

AI for Retail

Module 3:

Building a Machine Learning Model for AI Solutions

Module 7 :

AI for Health Care

Module 4:

Building AI Systems for Customer Service
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Faculty

Dr. Sameer Maskey Faculty

Dr. 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...

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Industry Examples

IBM

AI applications focus on customer experience, risk, brand loyalty, security, personalization, and fraud reduction.

MICROSOFT

AI applications in retail focus on customer experiences, logistics networks, and internal operations.

COGNIZANT

AI applications in finance include governance and compliance, in retail on customer experience, and in health care on automating processes.

PWC

AI opportunities focus on the use of robotics in healthcare.

BCG

Potential AI applications for financial institutions focus on customer experience and employee productivity.

BUSINESS INSIDER

Explore the aggregated highest potential use cases, trending use cases, and savings generated by AI in banking.

Note: All product and company names are trademarks™ or registered® trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them.

Certificate

Certificate

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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Early registrations are encouraged. Seats fill up quickly!

Flexible payment options available. Click here to learn more.