Jérôme MAIGNAND

TRIUM Global Executive MBA is a joint program by HEC Paris School of Management, New York University Stern School of Business, and London School of Economics and Political Science (LSE).

Consistently ranked in the top 5 Global EMBAs. Currently #3 in the world (Financial Times, 2019).

• Six modules across North America, Europe, and Asia.
• Numerous first-hand interactions with senior executives, entrepreneurs, and investors.
• Analysis of the rapidly-changing global and… Voir plus

TRIUM Global Executive MBA is a joint program by HEC Paris School of Management, New York University Stern School of Business, and London School of Economics and Political Science (LSE).

Consistently ranked in the top 5 Global EMBAs. Currently #3 in the world (Financial Times, 2019).

• Six modules across North America, Europe, and Asia.
• Numerous first-hand interactions with senior executives, entrepreneurs, and investors.
• Analysis of the rapidly-changing global and political economy in an age of crisis and uncertainty.
• Develop strategies for economic performance and for political and social stability.
• Focus on the technological disruptions and entrepreneurship in the digital era.
• Create new models and strategies to adapt to global, societal, and transformative megatrends.
• Achieve corporate objectives in strategy, finance, Mergers and Acquisitions (M&A), marketing, leadership, operations, cyber-security, and climate change to lead global organizations. Voir moins

Key learnings:
• Steps to implement an efficient transformation strategy.
• Audit of strengths and weaknesses, transformation plan, team building, stress tests.
• Structured framework to build agile organizations.
• Role of data science and visualization in driving change.
• Key objectives and vision to attain digital transformation, and to secure leadership buy-in.
• Design thinking to provide innovation, and constant iteration to build a change-tolerant culture.
• Risks… Voir plus

Key learnings:
• Steps to implement an efficient transformation strategy.
• Audit of strengths and weaknesses, transformation plan, team building, stress tests.
• Structured framework to build agile organizations.
• Role of data science and visualization in driving change.
• Key objectives and vision to attain digital transformation, and to secure leadership buy-in.
• Design thinking to provide innovation, and constant iteration to build a change-tolerant culture.
• Risks and opportunities that can make or break a digital transformation.
• Measurement frameworks for iterative improvements, OKR, and ROI metrics.

Main topics:
• Strategies for customer acquisition and retention.
• Technology to enhance customer engagement, brand experience, and loyalty.
• Understanding and predicting customer behavior.
• Designing and deploying customer-centric value propositions.
• Digital growth marketing, digital strategy, and communication.
• Data analytics for better decision-making and agility. Voir moins

Key learnings:
• Create and implement strategies that harness the power of big data.
• Lead an organization’s data science strategy to achieve transformational business outcomes.
• Promote a data-driven culture and enable initiatives across an organization.
• Build the technical and cultural infrastructure of a data science team.
• Prepare detailed Data and Data Architecture strategies.

Main topics:
• Projects’ identification: role of data, approach and model, data… Voir plus

Key learnings:
• Create and implement strategies that harness the power of big data.
• Lead an organization’s data science strategy to achieve transformational business outcomes.
• Promote a data-driven culture and enable initiatives across an organization.
• Build the technical and cultural infrastructure of a data science team.
• Prepare detailed Data and Data Architecture strategies.

Main topics:
• Projects’ identification: role of data, approach and model, data needed and sources, opportunity, cost, complexity, and stakeholders.
• Developing a 100-day roadmap: strategic alignment, cost, complexity, benefit, business impact, feasibility, and value capture for each project.
• Transformation strategy: initiatives to undertake to promote a data-driven culture.
• Human capital: structuring the best organizational model based on needs, timing, and the roles into teams.
• Technical Infrastructure: data requirements, governance, technology, skills, support for Machine Learning. Voir moins

Program from MIT Sloan (https://mitsloan.mit.edu/), and MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) (https://www.csail.mit.edu/).

Key learnings:
• Organizational and managerial implications of AI to pioneer a successful integration in business.
• Effectively analyze, articulate, and apply key AI management and leadership insights.
• Transform organizations thanks to strategic decision-making and build opportunities for growth.

Key… Voir plus

Program from MIT Sloan (https://mitsloan.mit.edu/), and MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) (https://www.csail.mit.edu/).

Key learnings:
• Organizational and managerial implications of AI to pioneer a successful integration in business.
• Effectively analyze, articulate, and apply key AI management and leadership insights.
• Transform organizations thanks to strategic decision-making and build opportunities for growth.

Key technologies:
• Artificial Intelligence: evolution and future, relationship with collective intelligence.
• Machine Learning: design, understand, and use computer programs to learn from experience.
• Natural Language Processing (NLP): human language (i.e. translation, sentiment analysis).
• Robotics: automating processes and tasks (i.e. robotics and autonomous vehicles).
• AI in business and society: risks and considerations (i.e. human-machine relationship, impact on jobs, ethical and social implications). Voir moins