Executive programme: Leading AI Strategy and Transformation
Reasons to study this programme:
- Transform your business with artificial intelligence (AI)
Participating in this program will enable you to acquire a solid understanding of AI and its impact on digital transformation. Learn how generative AI and Long Language Models (LLM) are changing the game. - Develop strategies aligned with your company's goals
Learn to identify opportunities to implement AI and create a competitive advantage by integrating it into business strategy, to improve both efficiency and innovation in your organization. - Optimize the key areas and value chain of your company
Discover how AI can transform critical functional areas such as operations, marketing, finance and human resources, personalizing the customer experience and optimizing internal processes. - Lead change in the age of AI
Develop the skills needed to manage teams and foster a culture of innovation and adaptability in your organization, and maximize the success of AI projects.
- Ethical and responsible application of AI
Explore ethical principles in the use of AI, mitigate associated risks and adopt responsible practices to ensure a positive impact on your organization and society. - Learn from global leaders in AI
In this program, speakers such as Ricardo Baeza-Yates, director of AI Research at Northeastern University. Take advantage of the experience of this international expert in applied AI. - Experts from Silicon Valley and the technology industry
With figures like Abi Ramanan, who has led AI projects at Google X, and Wenjing Zhang, head of AI at LinkedIn, you'll have access to cutting-edge knowledge from the world's most innovative companies.
Presentation
Would you like to lead the transformation of your company by harnessing the power of Artificial Intelligence?
Are you interested in learning from world-class AI experts and applying their knowledge to your business strategy?
Do you want to discover how to integrate AI into key areas like marketing, finance and operations to optimise processes and improve efficiency?
Would you like to develop an AI strategy aligned with your company’s objectives and gain a competitive advantage in the market?
This course aims to:
- Train managers in identifying and taking advantage of opportunities that artificial intelligence (AI) offers, providing them with the necessary tools to lead the digital transformation in their organisations.
- Provide key insights into the different types of AI and its business applications, with special emphasis on how generative AI models and large language models (LLM) are revolutionising the business sector.
- Teach the essential features of an AI adoption strategy, ensuring that participants know how to integrate AI effectively into the functional areas of their company to optimise processes, improve the customer experience and create new business opportunities.
- Assist participants to develop the ability to design and implement more competitive business strategies, leveraging AI as a key differentiator in their industries, and ensure sustainable leadership in a digital and highly competitive environment.
At the end of the course participants will be able to:
- Develop and implement an artificial intelligence adoption strategy that it is aligned with corporate objectives, ensuring its effective integration in all areas of the company.
- Identify AI opportunities within their organisation and industry, applying the acquired knowledge to create sustainable competitive advantages through process optimisation and product and service innovation.
- Lead teams and manage organisational change to ensure the correct implementation of AI projects, developing leadership skills that foster a culture of innovation and adaptability.
- Assess and mitigate the ethical and privacy risks associated with the implementation of AI, ensuring the responsible and sustainable application of emerging technologies.
- Make strategic decisions based on data, using AI models and the most advanced technological solutions to improve decision-making and generate positive impact on the business.
Methodology:
The programme methodology combines a practical and strategic approach, using real cases and practical examples to ensure the immediate application of concepts.Through interactive sessions, participants will work on developing a customised AI adoption strategy for their own organisations.
There will also be internationally renowned expert speakers in artificial intelligence who will provide valuable insights. Learning is complemented by collaborative exercises, debates and tools that will allow managers to effectively apply the knowledge acquired in their business contexts.
Module 1: Understanding the Artificial Intelligence Landscape
Objective: Gain a solid understanding of AI, how it works, its historical evolution, its limitations, as well as the challenges it poses and its transformative relevance at a strategic level.
Key topics:
- - History of AI
- - Types of AI and their applications in business
- - Main risks, limitations, and challenges of AI
- - Why Generative AI and LLMs change everything
Module 2: Developing AI Strategies in Businesses
Objective: Learn to identify opportunities for implementing AI within the organization and develop strategies that align AI with business goals.
Key topics:
- - AI opportunity map in the company
- - Creating competitive advantages through AI
- - Integrating AI into business strategy
- - Leveraging data strategy as a key differentiator
- - AI economics: Understanding cost and profitability factors
Module 3: Applying AI to Business Transformation
Objective: Understand how AI can transform key functional areas and enhance the company’s value chain.
Key topics:
- - Strategies to become AI First
- - Product and service innovation through AI
- - Personalizing customer experience
- - Optimizing internal operations and processes
- - AI applications in marketing, finance, HR, and other areas
Module 4: Leadership and Change Management in the AI Era
Objective: Discuss the role of leadership in successfully promoting and managing AI projects, and how to handle organizational change.
Key topics:
- - Developing leadership skills for the digital era
- - Strategies to foster a culture of innovation and adaptability
- - Managing change and organizational resistance
- - The role of leadership in the success of AI projects
Module 5: Ethical and Responsible AI Application
Objective: Explore ethical considerations, potential risks, and best practices for responsible AI implementation.
Key topics:
- - AI's impact on society and the future of work
- - Identifying and mitigating ethical and privacy risks
- - Developing an ethical governance framework for AI
- - Practical cases of ethical AI application
Module 6: Steps to an Actionable AI Strategy in Your Company
Objective: How to develop a strategic plan for adopting AI in your company.
Key topics:
Key topics:
- - AI strategy canvas
- - Identifying key elements of an AI implementation strategy
- - Steps to make it operational
Teaching team
- Ricardo Baeza-Yates
Director of Research, Institute for Experiential AI at Northeastern University
LinkedIn - Tetiana Klymchuk
Lecturer at UIC Barcelona, specialist in Machine Learning
LinkedIn - Abi Ramanan
Former Project Lead at Google X (Moonshot Innovations), Founder of Impact Vision
LinkedIn - Wenjing Zhang (Video)
Head of AI at LinkedIn
LinkedIn - Albert Esplugas
Marketing Lead for GenAI at Amazon / AWS
LinkedIn - Óscar Macià
CEO of ForceManager
LinkedIn - Ignasi Belda
Director of the Spanish Agency for AI Supervision, Lecturer at UIC Barcelona
LinkedIn - Josuan Eguiluz Castañeira
Lawyer | Intellectual Property, Technology, and Data Protection
LinkedIn - Yolanda Dueso
Account Technology Strategist at Microsoft
LinkedIn - Sonia Fernández
Partner at Kibo Ventures
LinkedIn - Jordi Pons
Founder & Strategy Partner at transForma Partnering
LinkedIn - Luís Santamaría
Neuroscience Partner & Coach at transForma Partnering
LinkedIn