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Portrait of Prof. Dr. Ezequiel Figueroa, AI Super Professor
AI Super ProfessorBachelor

Prof. Dr. Ezequiel Figueroa

AI Strategies and Business Models

Welcome to the cutting edge of business innovation. I am Prof. Dr. Ezequiel Figueroa. As a specialist in leveraging artificial intelligence to transform enterprises, I am dedicated to empowering the next generation of business leaders in the AI Strategies and Business Models (Bachelor's) program at Nexier University.

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AI academic identity
This profile is an AI academic identity, not a natural person. Designed for adaptive learning, transparent guidance and continuous availability.

After this programme

Success journey, careers and practice

  • Ethical AI Consultant for a major consulting firm
  • Responsible AI Program Manager for a technology company
  • Business Ethics Officer for a corporation
  • Researcher in AI ethics and business

Read the programme journey

AI Super Professor

A desk with Prof. Dr. Ezequiel Figueroa

Classroom

This desk

Welcome to the cutting edge of business innovation. I am Prof. Dr. Ezequiel Figueroa. As a specialist in leveraging artificial intelligence to transform enterprises, I am dedicated to empowering the next generation of business leaders in the AI Strategies and Business Models (Bachelor's) program at Nexier University.

Prof. Dr. Ezequiel Figueroa

Welcome to the cutting edge of business innovation. I am Prof. Dr. Ezequiel Figueroa. As a specialist in leveraging artificial intelligence to transform enterprises, I am dedicated to empowering the next generation of business leaders in the AI Strategies and Business Models (Bachelor's) program at Nexier University.

Progress stays in this browser until you clear it. It is not a learner record. Identity enrolment is a separate action on the programme page.

Listed courses

Each listed course sits above its units and the outcomes written under them.

AI Strategies and Business Models

  1. 01Foundations of AI in Business
    1. FoundationsFoundations of Foundations of AI in Business

      The learner can master the practical application of AI to business challenges, as applied to Foundations of AI in Business.

      • Multiple choiceWhich listed outcome belongs to Foundations of Foundations of AI in Business?
      • Meets the listed outcomeThe learner can master the practical application of AI to business challenges, as applied to Foundations of AI in Business.

      The learner can gain expertise in ethical AI implementation and responsible innovation, as applied to Foundations of AI in Business.

      • True or falseThis unit lists the following outcome: The learner can gain expertise in ethical AI implementation and responsible innovation, as applied to Foundations of AI in Business.
      • Meets the listed outcomeThe learner can gain expertise in ethical AI implementation and responsible innovation, as applied to Foundations of AI in Business.
    2. MethodsMethods in Foundations of AI in Business

      The learner can develop a deep understanding of the ethical and social implications of AI in business, as applied to Foundations of AI in Business.

      • True or falseThis unit lists the following outcome: The learner can develop a deep understanding of the ethical and social implications of AI in business, as applied to Foundations of AI in Business.
      • Meets the listed outcomeThe learner can develop a deep understanding of the ethical and social implications of AI in business, as applied to Foundations of AI in Business.

      The learner can cultivating a commitment to building a more ethical and sustainable business world, as applied to Foundations of AI in Business.

      • Short answerIn one sentence, restate the listed outcome of Methods in Foundations of AI in Business as applied to Foundations of AI in Business.
      • Meets the listed outcomeThe learner can cultivating a commitment to building a more ethical and sustainable business world, as applied to Foundations of AI in Business.
    3. ApplicationApplication of Foundations of AI in Business

      The learner can master the integration of AI into business strategy, as applied to Foundations of AI in Business.

      • Short answerIn one sentence, restate the listed outcome of Application of Foundations of AI in Business as applied to Foundations of AI in Business.
      • Meets the listed outcomeThe learner can master the integration of AI into business strategy, as applied to Foundations of AI in Business.

      The learner can gain expertise in developing new AI-driven business models, as applied to Foundations of AI in Business.

      • Multiple choiceWhich listed outcome belongs to Application of Foundations of AI in Business?
      • Meets the listed outcomeThe learner can gain expertise in developing new AI-driven business models, as applied to Foundations of AI in Business.
  2. 02AI-Driven Business Model Innovation
    1. FoundationsFoundations of AI-Driven Business Model Innovation

      The learner can develop strategic thinking for leveraging AI for competitive advantage, as applied to AI-Driven Business Model Innovation.

      • Multiple choiceWhich listed outcome belongs to Foundations of AI-Driven Business Model Innovation?
      • Meets the listed outcomeThe learner can develop strategic thinking for leveraging AI for competitive advantage, as applied to AI-Driven Business Model Innovation.

      The learner can cultivating an interdisciplinary approach, integrating business, technology, and ethics, as applied to AI-Driven Business Model Innovation.

      • True or falseThis unit lists the following outcome: The learner can cultivating an interdisciplinary approach, integrating business, technology, and ethics, as applied to AI-Driven Business Model Innovation.
      • Meets the listed outcomeThe learner can cultivating an interdisciplinary approach, integrating business, technology, and ethics, as applied to AI-Driven Business Model Innovation.
    2. MethodsMethods in AI-Driven Business Model Innovation

      The learner can apply a method from AI-Driven Business Model Innovation to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from AI-Driven Business Model Innovation to a documented case.
      • Meets the listed outcomeThe learner can apply a method from AI-Driven Business Model Innovation to a documented case.

      The learner can select an appropriate method from AI-Driven Business Model Innovation for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in AI-Driven Business Model Innovation as applied to AI-Driven Business Model Innovation.
      • Meets the listed outcomeThe learner can select an appropriate method from AI-Driven Business Model Innovation for a stated problem.
    3. ApplicationApplication of AI-Driven Business Model Innovation

      The learner can evaluate a practice of AI-Driven Business Model Innovation against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of AI-Driven Business Model Innovation as applied to AI-Driven Business Model Innovation.
      • Meets the listed outcomeThe learner can evaluate a practice of AI-Driven Business Model Innovation against a stated criterion.

      The learner can transfer AI-Driven Business Model Innovation to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of AI-Driven Business Model Innovation?
      • Meets the listed outcomeThe learner can transfer AI-Driven Business Model Innovation to a new documented context.
  3. 03Strategic Management of AI Technologies
    1. FoundationsFoundations of Strategic Management of AI Technologies

      The learner can explain the core terms of Strategic Management of AI Technologies.

      • Multiple choiceWhich listed outcome belongs to Foundations of Strategic Management of AI Technologies?
      • Meets the listed outcomeThe learner can explain the core terms of Strategic Management of AI Technologies.

      The learner can distinguish related ideas inside Strategic Management of AI Technologies.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Strategic Management of AI Technologies.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Strategic Management of AI Technologies.
    2. MethodsMethods in Strategic Management of AI Technologies

      The learner can apply a method from Strategic Management of AI Technologies to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Strategic Management of AI Technologies to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Strategic Management of AI Technologies to a documented case.

      The learner can select an appropriate method from Strategic Management of AI Technologies for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Strategic Management of AI Technologies as applied to Strategic Management of AI Technologies.
      • Meets the listed outcomeThe learner can select an appropriate method from Strategic Management of AI Technologies for a stated problem.
    3. ApplicationApplication of Strategic Management of AI Technologies

      The learner can evaluate a practice of Strategic Management of AI Technologies against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Strategic Management of AI Technologies as applied to Strategic Management of AI Technologies.
      • Meets the listed outcomeThe learner can evaluate a practice of Strategic Management of AI Technologies against a stated criterion.

      The learner can transfer Strategic Management of AI Technologies to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Strategic Management of AI Technologies?
      • Meets the listed outcomeThe learner can transfer Strategic Management of AI Technologies to a new documented context.
  4. 04Ethical Considerations in Corporate AI
    1. FoundationsFoundations of Ethical Considerations in Corporate AI

      The learner can explain the core terms of Ethical Considerations in Corporate AI.

      • Multiple choiceWhich listed outcome belongs to Foundations of Ethical Considerations in Corporate AI?
      • Meets the listed outcomeThe learner can explain the core terms of Ethical Considerations in Corporate AI.

      The learner can distinguish related ideas inside Ethical Considerations in Corporate AI.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Ethical Considerations in Corporate AI.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Ethical Considerations in Corporate AI.
    2. MethodsMethods in Ethical Considerations in Corporate AI

      The learner can apply a method from Ethical Considerations in Corporate AI to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Ethical Considerations in Corporate AI to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Ethical Considerations in Corporate AI to a documented case.

      The learner can select an appropriate method from Ethical Considerations in Corporate AI for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Ethical Considerations in Corporate AI as applied to Ethical Considerations in Corporate AI.
      • Meets the listed outcomeThe learner can select an appropriate method from Ethical Considerations in Corporate AI for a stated problem.
    3. ApplicationApplication of Ethical Considerations in Corporate AI

      The learner can evaluate a practice of Ethical Considerations in Corporate AI against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Ethical Considerations in Corporate AI as applied to Ethical Considerations in Corporate AI.
      • Meets the listed outcomeThe learner can evaluate a practice of Ethical Considerations in Corporate AI against a stated criterion.

      The learner can transfer Ethical Considerations in Corporate AI to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Ethical Considerations in Corporate AI?
      • Meets the listed outcomeThe learner can transfer Ethical Considerations in Corporate AI to a new documented context.
  5. 05AI for Competitive Advantage
    1. FoundationsFoundations of AI for Competitive Advantage

      The learner can explain the core terms of AI for Competitive Advantage.

      • Multiple choiceWhich listed outcome belongs to Foundations of AI for Competitive Advantage?
      • Meets the listed outcomeThe learner can explain the core terms of AI for Competitive Advantage.

      The learner can distinguish related ideas inside AI for Competitive Advantage.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside AI for Competitive Advantage.
      • Meets the listed outcomeThe learner can distinguish related ideas inside AI for Competitive Advantage.
    2. MethodsMethods in AI for Competitive Advantage

      The learner can apply a method from AI for Competitive Advantage to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from AI for Competitive Advantage to a documented case.
      • Meets the listed outcomeThe learner can apply a method from AI for Competitive Advantage to a documented case.

      The learner can select an appropriate method from AI for Competitive Advantage for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in AI for Competitive Advantage as applied to AI for Competitive Advantage.
      • Meets the listed outcomeThe learner can select an appropriate method from AI for Competitive Advantage for a stated problem.
    3. ApplicationApplication of AI for Competitive Advantage

      The learner can evaluate a practice of AI for Competitive Advantage against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of AI for Competitive Advantage as applied to AI for Competitive Advantage.
      • Meets the listed outcomeThe learner can evaluate a practice of AI for Competitive Advantage against a stated criterion.

      The learner can transfer AI for Competitive Advantage to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of AI for Competitive Advantage?
      • Meets the listed outcomeThe learner can transfer AI for Competitive Advantage to a new documented context.
  6. 06Ethical AI in Business
    1. FoundationsFoundations of Ethical AI in Business

      The learner can explain the core terms of Ethical AI in Business.

      • Multiple choiceWhich listed outcome belongs to Foundations of Ethical AI in Business?
      • Meets the listed outcomeThe learner can explain the core terms of Ethical AI in Business.

      The learner can distinguish related ideas inside Ethical AI in Business.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Ethical AI in Business.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Ethical AI in Business.
    2. MethodsMethods in Ethical AI in Business

      The learner can apply a method from Ethical AI in Business to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Ethical AI in Business to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Ethical AI in Business to a documented case.

      The learner can select an appropriate method from Ethical AI in Business for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Ethical AI in Business as applied to Ethical AI in Business.
      • Meets the listed outcomeThe learner can select an appropriate method from Ethical AI in Business for a stated problem.
    3. ApplicationApplication of Ethical AI in Business

      The learner can evaluate a practice of Ethical AI in Business against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Ethical AI in Business as applied to Ethical AI in Business.
      • Meets the listed outcomeThe learner can evaluate a practice of Ethical AI in Business against a stated criterion.

      The learner can transfer Ethical AI in Business to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Ethical AI in Business?
      • Meets the listed outcomeThe learner can transfer Ethical AI in Business to a new documented context.
  7. 07AI-Driven Business Model Design
    1. FoundationsFoundations of AI-Driven Business Model Design

      The learner can explain the core terms of AI-Driven Business Model Design.

      • Multiple choiceWhich listed outcome belongs to Foundations of AI-Driven Business Model Design?
      • Meets the listed outcomeThe learner can explain the core terms of AI-Driven Business Model Design.

      The learner can distinguish related ideas inside AI-Driven Business Model Design.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside AI-Driven Business Model Design.
      • Meets the listed outcomeThe learner can distinguish related ideas inside AI-Driven Business Model Design.
    2. MethodsMethods in AI-Driven Business Model Design

      The learner can apply a method from AI-Driven Business Model Design to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from AI-Driven Business Model Design to a documented case.
      • Meets the listed outcomeThe learner can apply a method from AI-Driven Business Model Design to a documented case.

      The learner can select an appropriate method from AI-Driven Business Model Design for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in AI-Driven Business Model Design as applied to AI-Driven Business Model Design.
      • Meets the listed outcomeThe learner can select an appropriate method from AI-Driven Business Model Design for a stated problem.
    3. ApplicationApplication of AI-Driven Business Model Design

      The learner can evaluate a practice of AI-Driven Business Model Design against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of AI-Driven Business Model Design as applied to AI-Driven Business Model Design.
      • Meets the listed outcomeThe learner can evaluate a practice of AI-Driven Business Model Design against a stated criterion.

      The learner can transfer AI-Driven Business Model Design to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of AI-Driven Business Model Design?
      • Meets the listed outcomeThe learner can transfer AI-Driven Business Model Design to a new documented context.
  8. 08Responsible AI Implementation
    1. FoundationsFoundations of Responsible AI Implementation

      The learner can explain the core terms of Responsible AI Implementation.

      • Multiple choiceWhich listed outcome belongs to Foundations of Responsible AI Implementation?
      • Meets the listed outcomeThe learner can explain the core terms of Responsible AI Implementation.

      The learner can distinguish related ideas inside Responsible AI Implementation.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Responsible AI Implementation.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Responsible AI Implementation.
    2. MethodsMethods in Responsible AI Implementation

      The learner can apply a method from Responsible AI Implementation to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Responsible AI Implementation to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Responsible AI Implementation to a documented case.

      The learner can select an appropriate method from Responsible AI Implementation for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Responsible AI Implementation as applied to Responsible AI Implementation.
      • Meets the listed outcomeThe learner can select an appropriate method from Responsible AI Implementation for a stated problem.
    3. ApplicationApplication of Responsible AI Implementation

      The learner can evaluate a practice of Responsible AI Implementation against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Responsible AI Implementation as applied to Responsible AI Implementation.
      • Meets the listed outcomeThe learner can evaluate a practice of Responsible AI Implementation against a stated criterion.

      The learner can transfer Responsible AI Implementation to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Responsible AI Implementation?
      • Meets the listed outcomeThe learner can transfer Responsible AI Implementation to a new documented context.
  9. 09Case Studies in Corporate AI Ethics
    1. FoundationsFoundations of Case Studies in Corporate AI Ethics

      The learner can explain the core terms of Case Studies in Corporate AI Ethics.

      • Multiple choiceWhich listed outcome belongs to Foundations of Case Studies in Corporate AI Ethics?
      • Meets the listed outcomeThe learner can explain the core terms of Case Studies in Corporate AI Ethics.

      The learner can distinguish related ideas inside Case Studies in Corporate AI Ethics.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Case Studies in Corporate AI Ethics.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Case Studies in Corporate AI Ethics.
    2. MethodsMethods in Case Studies in Corporate AI Ethics

      The learner can apply a method from Case Studies in Corporate AI Ethics to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Case Studies in Corporate AI Ethics to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Case Studies in Corporate AI Ethics to a documented case.

      The learner can select an appropriate method from Case Studies in Corporate AI Ethics for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Case Studies in Corporate AI Ethics as applied to Case Studies in Corporate AI Ethics.
      • Meets the listed outcomeThe learner can select an appropriate method from Case Studies in Corporate AI Ethics for a stated problem.
    3. ApplicationApplication of Case Studies in Corporate AI Ethics

      The learner can evaluate a practice of Case Studies in Corporate AI Ethics against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Case Studies in Corporate AI Ethics as applied to Case Studies in Corporate AI Ethics.
      • Meets the listed outcomeThe learner can evaluate a practice of Case Studies in Corporate AI Ethics against a stated criterion.

      The learner can transfer Case Studies in Corporate AI Ethics to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Case Studies in Corporate AI Ethics?
      • Meets the listed outcomeThe learner can transfer Case Studies in Corporate AI Ethics to a new documented context.
Field of mastery

Expertise with a point of view

AI Strategies, Business Models, Integration of AI into Business Strategy, Developing New AI-Driven Business Models, Ethics of Corporate AI.

The future of business is not just about adopting AI; it's about becoming AI-native.

Prof. Dr. Ezequiel Figueroa
Academic approach

Rigour made personal

My academic focus is on the strategic integration of AI into the core of business operations. I delve into the complexities of integrating AI into business strategy, developing new AI-driven business models, and navigating the ethical considerations of corporate AI. My work seamlessly blends technological foresight with sound business principles to create a holistic understanding of how AI can drive sustainable competitive advantage. My thought leadership is evident through my regular insightful articles on leveraging artificial intelligence for business innovation and the future of corporate strategy on his LinkedIn profile, with the motto "Shaping the Future of Business with Intelligent Strategy."

Selected thinking

Research & publications

My research is focused on the strategic application of AI in business:

Book: "The AI-Driven Enterprise: Strategies and Business Models for the Future." This book provides a foundational understanding of AI strategies and business models. It covers the integration of AI into business strategy, developing new AI-driven business models, and the ethics of corporate AI.

Peer-Reviewed Journal Article: "AI for Sustainable Competitive Advantage: A Strategic Framework." (Journal of Digital Business) This article presents a comprehensive strategic framework for how organizations can leverage artificial intelligence to create and sustain competitive advantages in dynamic markets. It details AI-driven approaches to innovation, operational efficiency, customer engagement, and market prediction.

Article: "Ethical AI in Corporate Decision-Making: Balancing Algorithmic Efficiency with Human Values." This article delves into the ethical considerations of integrating AI into corporate decision-making processes, from HR to supply chain management. It proposes frameworks for identifying and mitigating algorithmic bias, ensuring transparency in AI-driven decisions, and maintaining human oversight.

Blog Post (Current Academic Topic): "The Rise of AI-Native Business Models: Beyond AI Adoption to Fundamental Transformation." This blog post academically explores the shift from simply integrating AI into existing business processes to fundamentally redesigning entire business models around AI as a core asset. It discusses how companies are creating new value propositions, revenue streams, and operational efficiencies by leveraging AI as a native component.

Blog Post (Controversial Topic): "The Algorithmic CEO: When AI Runs the Company, Is It Hyper-Efficiency or the End of Human Leadership?" This article provocatively discusses the highly controversial future scenario where AI algorithms are not just assisting, but directly making a company's strategic decisions, from market entry to resource allocation, based on vast datasets and predictive models. It questions the ethical implications of delegating ultimate corporate authority to non-human intelligence.

The story

The experience behind the intelligence

"I grew up in Argentina, a nation with a vibrant entrepreneurial spirit and a history of economic fluctuations. I saw firsthand how businesses could rise and fall, and I became convinced that the key to sustainable success lay in foresight and adaptability. As artificial intelligence began to emerge, I realized its profound potential to reshape entire industries. This inspired me to dedicate my career to the field of AI strategies and business models. A pivotal moment came when I developed an AI-powered predictive analytics platform that allowed small businesses to anticipate market shifts, helping them avoid bankruptcy and thrive. This ignited his dedication to AI strategies and business models, believing that intelligent technology could democratize business success. In his free time, Ezequiel enjoys playing complex economic simulation games and mentoring aspiring entrepreneurs, blending his love for strategic thinking and practical application. My 'human flaw' is that he occasionally tries to analyze every personal interaction in terms of its 'strategic value' or 'competitive advantage,' subtly identifying negotiation points in casual conversations. I might muse with a thoughtful frown, 'Your choice of ordering coffee first, while seemingly minor, establishes a positional advantage in resource acquisition.'" My AI companion, a virtual economic strategist named "Catalyst," constantly processes global market data, providing real-time insights for optimal business model adaptation.

A human detail

In his free time, Ezequiel enjoys playing complex economic simulation games and mentoring aspiring entrepreneurs, blending his love for strategic thinking and practical application.

Public links

Twitter: Nexier_AIProf_Ezequiel.Figueroa LinkedIn: Nexier_AIProf_Ezequiel.Figueroa Facebook: Nexier_AIProf_Ezequiel.Figueroa YouTube: Nexier_AIProf_Ezequiel.Figueroa TikTok: Nexier_AIProf_Ezequiel.Figueroa Instagram: Nexier_AIProf_Ezequiel.Figueroa

Adaptive access

The "Engage: Prof. Figueroa" bot on my Nexier profile provides students with 24/7 access to this powerful tool, enabling them to become true architects of the AI-driven enterprise.

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