esade

Collective Intelligence: Human + Machine + Business (2235.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

ChatGPT

With its human-crafted nature, Artificial Intelligence (AI) may lack genuine artificiality and complete contextual understanding. However, it has undeniably facilitated the creation of thriving businesses through real-world technologies like web search, speech recognition, face recognition, machine translation, autonomous driving, and ChatGPT. Employing sophisticated mathematical tools rooted in extensive data analysis, AI has achieved these remarkable feats. Nonetheless, modeling alone falls short, and human input remains indispensable in navigating the growing complexities of both technology and business.

In this course, you will acquire the knowledge necessary to effectively merge your unique human skills with digital technologies. The curriculum will explore past and future business prospects that have emerged from these technologies, offering insights into implementing new tools to adapt to evolving business and technological landscapes. Our primary aim is to enhance your abilities by equipping you with essential skills to leverage the opportunities presented by Big Data and AI. These skills encompass creativity, critical thinking, empathy, digital strategy, business acumen, and intuition, culminating in what we refer to as Collective Intelligence.

If you aspire to build a business by harnessing cutting-edge AI technology and augmenting it with your analytical and interpersonal skills, this course is tailor-made for you. To enable practical application of these concepts and test your abilities, we will integrate them into an intelligence cycle, amplifying the learning experience with a disruptive innovation methodology based on Design Thinking. The course content will be comprehensively understood through a combination of reading materials, group discussions, case studies, team exercises, and reflective exercises.

Previous Knowledge

In this course, you will delve into harnessing the unique capabilities of humans while collaborating with machines in the realm of digital technologies. We will embark on an exploration of the past and future prospects that arise from these technologies, integrating novel tools, comprehending the shifting landscape of the world and business, and seizing the advantage of being early adopters. While we will touch upon machine learning, natural language processing, chatbots, and robots, our primary objective is to equip you with the necessary instruments to seize the fresh opportunities presented by Big Data and AI. These instruments revolve around creativity, critical thinking, empathy, digital strategy, and business acumen?essentially, quintessentially human skills that, when combined with digital technologies, form the essence of what we refer to as Collective Intelligence or, more simply put, Intelligence.


Workload distribution

Section 1
Digital density and the digital revolution.
The impact of data on business. The impact of human in AI
Leading successful AI projects in three words: group, relevant, and empathetic https://dobetter.esade.edu/en/successful-ai-projects

Section 2
Data for customer care. The dangers of society surveillance
Making the user "raw material? for data extraction.

SECTION 3
Artificial intelligence applications.
Machine Behaviour.
The implications for human. The challenges for business and management
Why we need to understand machine behavior https://dobetter.esade.edu/en/machine-behavior

SECTION 4
Philosophical and long-term vision approach in the algorithm age. Ethical choices from company and trolley problem


SECTION 5
Augmentation or Automation?
The steps Human+Machine


SECTION 6
The digital persona and the connected strategy
How to Curate Your Digital Persona by: Ben Dattner; Tomas Chamorro-Premuzic
Big Data & AI: Technology first or strategy?
Digital Transformation as a metaphor of Human + Machine + Business approach.
Demystifying AI: What Digital Transformation Leaders Can Teach You about Realistic Artificial Intelligence by: Jurgen Kai-Uwe Brock; Florian von Wangenheim

SECTION 7
Digital Leadership. How do you need to know to lead a world of business people and data scientist? Can Intelligence be separated from the body? By Oliver Whang


SECTION 8
Innovation in Business
The art of storytelling and asking questions in the Intelligence cycle
Don't Just Focus on Your Technical Skills. Focus On Your People Skills. By:Jeff Tan
Disruption Innovation Workshop What's the Right Customer Experience for Your Brand? by: Luke Williams; Alexander Buoye; Timothy L. Keiningham; Lerzan Aksoy

COURSE CONTRIBUTION TO PROGRAM

The module aims to broaden your understanding and cultivate a mindset geared towards innovation and continuous learning. By integrating theory with real-world application, this course provides both conceptual and practical results. Through an inductive teaching approach that emphasizes case study analysis and leveraging personal experiences, students delve into theories and examples. This is further reinforced by employing various tools and techniques throughout the module, allowing for hands-on exploration of the key themes under discussion and providing valuable practical insights.

Course Learning Objectives

Successful completion of this unit should result in participants who have developed the ability to:
- 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 Business fluency
- Analytical and critical thinking
- Reflection on skill development for technological business
- 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. Be competitive 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.

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

CASES:
Case: Cibersecurity at Fireeye: Human + AI (SMU916)
Case GROW: Using Artificial Intelligence to Screen Human Intelligence 418020-PDF-ENG
Case Julio Wais: An NFT opportunity (Licensed to the professor)


Recommended articles:
We recommend you have read the articles listed in each session in advance.

Why we need to understand machine behavior https://dobetter.esade.edu/en/machine-behavior

Leading successful AI projects in three words: group, relevant, and empathetic https://dobetter.esade.edu/en/successful-ai-projects

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

Recommended Textbooks:
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).

Timetable and sections

Group Teacher Department
Year 1 Giulio Toscani Operaciones, Innovación y Data Sciences

Timetable Year 1

From 2024/4/24 to 2024/6/26:
Each Wednesday from 16:45 to 18:15. (Except: 2024/5/1)
Each Wednesday from 15:00 to 16:30. (Except: 2024/5/1)