Montreal International Center for Management
Management in the age of Artificial Intelligence
MICM
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蒙特利尔国际管理中心
人工智能时代的管理
(MICM)
Vision
Management in the age of Artificial Intelligence
The probability is high that Artificial Intelligence (AI) will provide the answer to future product and market innovations. It has the ability to induce fundamental change in products, markets, models and paradigms. Manufacturing and a wide spectrum of services are undergoing a near revolutionary change driven by AI delivered innovations. Computing equipment capable of what one may term partial and quasi intelligent behavior is the trigger. Ways and means of converting this new phenomenon into the strategic behavior of firms is yet to be addressed in executive competency programs.
This will be MICM's performance domain.
视觉
♈️
人工智能时代的管理
人工智能 (AI) 为未来的产品和市场创新提供答案的概率很高。它有能力促使产品、市场、模式和模式发生根本性变化。在 AI 带来的创新推动下,制造业和广泛的服务正在经历一场近乎革命性的变化。能够称之为局部和准智能行为的计算设备是触发因素。在高管能力计划中,尚未讨论将这种新现象转化为公司战略行为的方式方法。
这将是 MICM 的性能域。
Programs
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Technology, innovation
and AI management
Data analytics and
artificial intelligence in Finance
Data analytics
and artificial intelligence in Manufacturing
Data analytics
and artificial intelligence in Logistics
Data analytics
and artificial intelligence in
Strategic Thinking
AI and Data Analytics software
AI and Data Analytics platforms
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Program delivery
Programs are delivered online and offline.
Selected programs
Mini MBAs
Professional programs providing specialized in depth coverage of issues within the AI and Big Data fields.
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AI Concepts and Applications
Participants should by the end of the program demonstrate knowledge of the systems structure of IA and key AI applications within industry. The program covers five workdays
⭕Contents
What is AI?
AI system structure and flows
.AI applications in several industries
Manufacturing industry
Finance industry
Health care industry
Other industries
The strategic thinking dimension of AI
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Artificial Intelligence in the manufacturing industry
By the end of this program participants should be in a position to identify future AI – triggered manufacturing technologies and emerging opportunities and modes of compliance. Program will extend over five workdays.
⭕Contents
What is AI
AI and the 5th Industrial Revolution
AI and future manufacturing technologies
Virtual Reality/computer vision
Generative design
Digital twining
Predictive maintenanc
Robotics and automization
AI and the organization of manufacturing
Neo-Manufacturing and strategic design.
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Other Mini MBA Programs
AI in the banking industry
AI in the Helathcare industry
AI in the logistics industry
EMBA
Degree programs providing state of the art competencies in the wide field of Artificial Intelligence
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Technology, Innovation and AI Management
By the end of this program the participant should be in a position
to
• Identify the conceptual and operational framework of AI
• Be able to apply AI tools to specific functional areas
• Relate AI to strategic behavior
⭕Duration :
42 credit hours
⭕Contents
A. Foundation Courses (18 credit hours)
Management & Organizational Behavior
Managerial Accounting and Finance
Marketing Management
Strategic Management
Managerial Economics for Business Decisions
Foundation of Finance
B. Core Courses (6 courses = 18 credit hours)
Foundations of Artificial Intelligence
Big data analytics and algorithm
Math and statistics for deep learning and artificial
intelligence
Digital Transformation
Artificial Intelligence and business strategy formulation
Business Intelligence Systems
C. Project (6 credit hours)
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Artificial intelligence, data sciences and Strategic Thinking
By the end of this program participating executive will be able to :
Programs validated by" aaime "
www.aaime.net
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由"aaime"验证的程序
www.aaime.net
Publications and research
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Recent publication
Journal of Knowledge Management Application and Practice, An International Journal (http://dx.doi.org/10.18576/jkmap/010203)
A Systems Approach to the Artificial Intelligence Concept
M S S El Namaki, Dean, VU School of Management, Switzerland. Dean (Retired) Maastricht School of Management, MSM, Netherlands.
Abstract: To an entrant, Artificial Intelligence (AI) constitutes an amorphous phenomenon. Ways and means of containing this concept within a systems framework is the focus of this article. The article resorts to qualitative analysis as a medium. It advances a systems theory framework as the boundary
for an AI structure where all things would fall in place. The article suggests a framework where an artificial intelligence system has inputs, transformation processes and an output. A feedback loop as well. The inputs are
built around data and artificial neurons. Transformation is done through analysis and learning. And the outcome is composed of insights, sub-systems and technologies. Feedback built on the outcomes completes the system
loop. The article provides a convenient vehicle for understanding of the components of artificial intelligence.
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A Systems Approach to the Artificial Intelligence Concept
一种人工智能概念的系统方法
M S S El Namaki*
瑞士维多利亚大学管理学院院长。荷兰马斯特里赫特管理学院(MSM)院长(已退休)
接收日期:2019年6月21日,修订日期:2019年7月12日,验收日期:2019年7月24日。
网络出版日期:2019年8月1日。
摘要:
对于一名初学者来说,人工智能展示出的是一种无定形的现象。本文的重点是如何将人工智能概念构建于系统框架中。
本文通过定性分析,提出了一个系统理论框架,作为人工智能结构的边界,在此边界上所有的物体都能找到其适当的位置。该人工智能系统框架具有输入、转换过程和输出,以及反馈环路。输入围绕数据和人工神经元进行构建,转换过程通过分析和学习完成。输出结果由洞察力、子系统和技术组成,基于输出结果的反馈形成了闭合系统环路。
本文为人工智能组件及其工作流程的理解提供了一种便捷式工具。这对于理解人工智能的应用及其情景相关性会有所帮助。
关键词:人工智能,神经元,机器学习。
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Management, faculty and partners
Prof R De Werk, Marketing Management
Prof M Mujtahid
Mr. P. Zaveri
Partners
List follows
Prof dr m s s el namaki, Strategy and AI
Contact us
EMBA application forms could be downloaded here
© 2019