Collective Intelligence: Human + Machine + Business (2225.YR.014754.1)
General information
Type: |
OPT |
Curs: |
1 |
Period: |
S semester |
ECTS Credits: |
3 ECTS |
Teaching Staff:
Group |
Teacher |
Department |
Language |
Year 1 |
Giulio Toscani |
Operaciones, Innovación y Data Sciences |
ENG |
Prerequisites
Artificial intelligence (AI) seems not be neither artificial, made by many human hands, nor intelligent, since not able to understand the context. But AI is helping humans to create a business out of web search, speech recognition, face recognition, machine translation, autonomous driving, automatic scheduling and many more complex real-world technologies. AI is helping by modelling through rigorous mathematical tools based on big data. But modelling is not enough, in fact the human contribution is instrumental and has to adapt to the incresing level of complexity of business and technology.
This topic should therefore be of interest to students concerned with issues of building business by using the latest AI technology, and augmenting them with their own analytical, but also people, skills. To make all these process real and to test your abilities in implementing all these concepts in the real world, we will integrate into an intelligence cycle, amplified by a disruptive Innovation methodology, based on Design Thinking.
We will use a mix of reading, discussion, case studies, team exercises and reflective exercises to achieve a better understanding of this course
Previous Knowledge
In this course, you will learn how the human can take advantage from its human unique skills while working with the machines deployed in digital technologies. We will explore the history and the future business opportunities generated from these technologies, implementing new tools, understanding how the world and the business is changing, and how to be the first movers . We will make references to machine learning, natural language processing, chatbots and robots, but the main goal of the course is to equip you with the tools to tackle new opportunities offered by Big Data/AI. And these tools are based on creativity, critical thinking, empathy, digital strategy and business content and intuition; in other words, very human skills that, combined with digital technologies, define what we call Collective Intelligence or, just, Intelligence.
Workload distribution
1 Digital density and the digital revolution.
The impact of data on business Digital Ubiquity: How Connections, Sensors, and Data are Revolutionizing Business, HBR.
2 Data for customer care. The dangers of society surveillance
Making the user a product and raw material for data extraction. Tracked by: Leslie K. John
The New Rules of Data Privacy by: Hossein Rahnama; Sandy Pentland
3 Big Data & AI: Technology first or strategy?
The 6 steps of digital transformation, from status quo to clairevoyant. Case: ByteDance Beyond China: Leveraging Consumer Artificial Intelligence (AI) from Toutiao to Musical.ly and TikTok 819-0040-1
Pipelines, Platforms, and the New Rules of Strategy, Harvard Business Review, R1604C-PDF-EN
Why So Many High-Profile Digital Transformations Fail, HBR, H047J1-PDF-ENG
4. Artificial intelligence applications. The implications for human. The challenges for business and management
Case: Cibersecurity at Fireeye: Human + AI (SMU916)
5 Philosophical and long-term vision approach in the algorithm age. The connected digital Persona Case GROW: Using Artificial Intelligence to Screen Human Intelligence 418020-PDF-ENG
6. The digital persona and the connected strategy
How to Curate Your Digital Persona by: Ben Dattner; Tomas Chamorro-Premuzic PhD.
7 AI & Strategic Leadership. Introduction Robots Need Us More Than We Need Them by H. James Wilson and Paul R. Daugherty
8 AI & Strategic Leadership. How do you need to know to lead a world of businesspeople and data scientist? Demystifying AI: What Digital Transformation Leaders Can Teach You about Realistic Artificial Intelligence by: Jurgen Kai-Uwe Brock; Florian von Wangenheim
How AI Will - and Won't - Change the Way You Manage: Artificial Intelligence by: Jordi Canals; Bruno Cassiman; Marta Elvira; Sandra Sieber; Anneloes Raes
9 Innovation in Business
The art of storytelling and asking questions in the Intelligence cycle A Tale of Storytelling: Its Allure and its Traps by: Hilary Austen
How Storytelling Builds Next-Generation Leaders by: Douglas A. Ready
10 Disruption Innovation Workshop What's the Right Customer Experience for Your Brand? by: Luke Williams; Alexander Buoye; Timothy L. Keiningham; Lerzan Aksoy
The Most Common Reasons Customer Experience Programs Fail y: Ryan Smith; Luke Williams
COURSE CONTRIBUTION TO PROGRAM
The focus of the module is to expand your knowledge and sharpening a mindset for innovation and life-long learning. This course links theory and practice to deliver both a conceptual and a practical outcome. The inductive method of teaching builds on case study analysis and students' own experiences to explore theories and examples. This is also achieved through the tools and techniques that are practiced throughout the module, aimed at offering practical insights and experiences into key themes discussed.
Course Learning Objectives
Successful completion of this unit should result in participants who have developed the ability to:
- Use digital tools to assist your skills.
- Synthesis of complex information on challenging global business issues.
- Strengthen your human and unique critical thinking to use AI/Big Data to read the global business environment and identify opportunities and threats.
- Build the full intelligence circle by articulating: AI machine data collection, analysis and production, human intuition and creativity, synthesis, production and delivery. The goal is to respond to the challenges of your business competitors.
Skills you will develop along this course:
- Technological fluency
- Analytical and critical thinking
- Reflection on skill development for leadership
- Persuasion & Influencing
- Disruptive Innovation
- Cross-cultural competences and diversity proficiency
The objectives of the unit are to enable students to:
1. Understand what AI/ Big Data are, and how they are disrupting the business and society.
2. Make strategic, confident decisions based on solid data and advanced technology.
3. Learn a valuable business methodology that help you pinpoint weaknesses and discover new opportunities.
4. Earn higher profits by better understanding what the implications of digital strategy in the future of your business are, and so your processes and your customers.
The topics are based on digital technologies, specifically on Big Data and Artificial Intelligence, updated for each session and based on students participation.
There will a number of topics that students will read in advance of the sessions. The unit will then provide a forum to discuss the topic in detail, supported eventually by expert guest speakers, to provide students with a clear view of the issues. Students will then work together in groups to identify opportunities and threats that arise, and to determine appropriate responses.
CONTENT
1. Successful completion of this unit should result in participants who have developed the ability to: ¿ Use critical thinking skills to better work with technology. ¿ Synthesis of complex information on challenging global business issues. ¿ Strengthen your human and unique critical thinking to use AI/Big Data to read the global business environment and identify opportunities and threats. ¿ Build the full intelligence circle by articulating: AI machine data collection, analysis and production, human intuition and creativity, synthesis, production and delivery. The goal is to respond to the challenges of your business competitors.
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Methodology
The methodology is based on participative sessions, case studies, teamwork and peer-to-peer discussion.
Assessment criteria
A student's final grade in this course will be based on the following weighting:
35% Class Participation
65% Individual final project
Assesment reflects the quality of a student's active participation in class discussions. Much of a manager's success depends on communication; therefore effective oral communication will constitute the student's grade. Written work should be clear, logical, grammatically correct, spell-checked, persuasive, supported by examples, and backed up by citations for any data, ideas or other content used. It should represent the student's best effort. To do well on the writing assignments, you will need to incorporate and apply the course readings.
A note on Class participation:
Grading class participation is necessarily subjective. However, I try to make it as "objective as possible?. Some of the criteria for evaluating effective class participation include:
1 Is the participant prepared? Do comments show evidence of analysis of the case? Do comments add to our understanding of the situation? Does the participant go beyond simple repetition of case facts without analysis and conclusions? Do comments show an understanding of theories, concepts, and analytical devices presented in class lectures or reading materials?
2 Is the participant a good listener? Are the points made relevant to the discussion? Are they linked to the comments of others? Is the participant willing to interact with other class members?
3 Is the participant an effective communicator? Are concepts presented in a concise and convincing way?
Class Participation 35%
This course covers a significant amount of content and much of the learning comes from in-class exercises and discussion. Therefore, students are expected to attend all class sessions, complete all assigned readings and come prepared and ready to participate. Attendance will be taken and participation will be evaluated at each class session. Participation in all on-campus sessions in their entirety is mandatory, and students may not be late or leave early for any of these sessions. Failure to be in attendance for the entirety of the session will result in removal from the class.
Individual final project 65%
The Individual final project is meant to be a culmination of all the learnings in the class; to do well on this assignment it is imperative to draw upon the readings and discussions in presenting your analysis.
Please kindly explain in your assignment the solution you propose for the problem and deeper need you have identified.
- Write a word document (with no upper or lower word-count limits) where you demonstrate what you have learnt in class, by answering in details, giving at least an example for each questions, all the points below.
1. What is the problem?
2. Who has the problem?
3. What is your proposed solution?
4. How did you reach this solution?
5. What is the value of solving that problem with your solution?
6. What is the technology you propose for your solution? Why?
7. What are the human skills required to solve the problem? Why?
8. What is your most important learning for this course?
Please take into account that I reward critical thinking and specifically
- RELEVANCE is the solution addressing the right problem?
- COHERENCE how well does the solution fit?
- EFFECTIVENESS is the solution achieving its objectives?
- EFFICIENCY how well are resources being used?
- IMPACT what difference does the solution make?
- SUSTAINABILITY will the benefits last?
So, jot down what questions you have asked yourself, to reach the conclusions.
Do your best to show that you have been critical, so what you propose makes sense from a business, technology and ethical/legal point of view.
Try not to just propose a solution that is neither impossible to produce, advertise and monetise, nor propose to use technology as a magic wand.
Think instead of a problem first, without considering technology at this stage.
Think of a possible ecosystem, a possible alliance, a different business model or a new model for revenues (the analogic vs. digital toothbrush example), the data you need to have and why these data.
Then think how technology could help you, by looking at what is available on the market.
I do not expect you to propose a detailed technical solution, but, yes a business sound solution using a technology that may have been used by someone else and you could use too.
Remember to list briefly how you are going to integrate the solution, to overcome skepticism from investors and solution users. Just show that you understand the final goal of using these technologies to solve your problem.
And of course, explain what are the business implications.
The assessment criteria are:
Coherence: the smooth and logical flow of writing
Consistency the uniformity of style and content
Feasibility the degree of being easily or conveniently done
Originality the ability to think independently and creatively
Bibliography
COMPULSORY CASES:
Case: ByteDance Beyond China: Leveraging Consumer Artificial Intelligence (AI) from Toutiao to Musical.ly and TikTok 819-0040-1
Case: Cibersecurity at Fireeye: Human + AI (SMU916)
Case GROW: Using Artificial Intelligence to Screen Human Intelligence 418020-PDF-ENG
Recommended Textbooks:
Williams, L. (2015). Disrupt: Think the unthinkable to spark transformation in your business. FT Press.
Davenport, T. H., & Kirby, J. (2016). Only humans need apply: Winners and losers in the age of smart machines. New York, NY: Harper Business.
Malone, T. W. (2018). Superminds: The surprising power of people and computers thinking together. Little, Brown.
Daugherty, P. R., & Wilson, H. J. (2018). Human+machine: reimagining work in the age of AI. Harvard Business Press.
Harari, Y. N. (2019). Lessons for the 21st Century. Spiegel & Grau.
Crawford K. Atlas of AI: The Real Worlds of Artificial Intelligence (2021). Yale University Press.
(NB. These books are not essential reading for the unit, but can be used for background reading).
Recommended articles:
We recommend you have read the articles listed in each session in advance.
Digital Ubiquity: How Connections, Sensors, and Data are Revolutionizing Business, HBR. Tracked by: Leslie K. John
The New Rules of Data Privacy by: Hossein Rahnama; Sandy Pentland
Pipelines, Platforms, and the New Rules of Strategy, Harvard Business Review, R1604C-PDF-EN
Why So Many High-Profile Digital Transformations Fail, HBR, H047J1-PDF-ENG
How to Curate Your Digital Persona by: Ben Dattner; Tomas Chamorro-Premuzic PhD.
Robots Need Us More Than We Need Them by H. James Wilson and Paul R. Daugherty
Demystifying AI: What Digital Transformation Leaders Can Teach You about Realistic Artificial Intelligence by: Jurgen Kai-Uwe Brock; Florian von Wangenheim
How AI Will - and Won't - Change the Way You Manage: Artificial Intelligence by: Jordi Canals; Bruno Cassiman; Marta Elvira; Sandra Sieber; Anneloes Raes
A Tale of Storytelling: Its Allure and its Traps by: Hilary Austen
How Storytelling Builds Next-Generation Leaders by: Douglas A. Ready
What's the Right Customer Experience for Your Brand? by: Luke Williams; Alexander Buoye; Timothy L. Keiningham; Lerzan Aksoy
The Most Common Reasons Customer Experience Programs Fail y: Ryan Smith; Luke Williams
Timetable and sections
Group |
Teacher |
Department |
Year 1 |
Giulio Toscani |
Operaciones, Innovación y Data Sciences |
Timetable Year 1
From 2023/4/26 to 2023/6/21:
Each Wednesday from 15:30 to 17:00.
Each Wednesday from 17:15 to 18:45.