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Artificial Intelligence & Data in companies

IN-COMPANY TRAINING FOR DIRECTORS AND MIDDLE MANAGERS

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OBJECTIVES

What you are going to achieve

  • Transmit to Executives and Middle Managers the key concepts and knowledge of Artificial Intelligence and Data Technologies.

  • Know what CAN be done and what CANNOT be done with Artificial Intelligence.

  • Learn to identify use cases for the practical application of Data & AI in their work areas.

  • Understand the opportunities and potential of applying Data & AI in the business sector.

  • Train teams to lead the Digital Transformation of their environment.

contenTs

Learning techniques used

  • Duration: 9 hours.

  • Contents:

  1. Module: Data Analytics and Data Science.

  2. Module: IoT | Big Data | Cloud | Edge Computing.

  3. Module: Artificial Intelligence | Machine Learning, Deep Learning, Computer Vision, NLP.

methodology

Training Characteristics

  • Previous Consulting included: to identify the company's own real use cases and create a customized program.

  • Live online: participants can interact with Professors in real time to address specific company situations, resolve doubts and optimize learning.

  • Bonus by FUNDAE.

  • Teachers are actively working on Data and AI and have experience as trainers.

  • Selected from the extensive AI-Network, which is made up of more than 1.000 professionals.

TEACHING TEAM

Tomás Martínez Buero

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  • President and Institutional Relations and companies of the Professional Association of​  Artificial Intelligence, AI-Network.

  • Director of Artificial Intelligence and Analytics at baobab soluciones.

  • Previously, a manager in global companies such as Intel, and in Big Data and Machine Learning startups such as Klass Data and Devo.

  • Professor in the Master of Big Data and BI of NEXT International Business School.

  • Computer Engineer, specialized in Artificial Intelligence and MBA from IE Business School.

Pablo Ramos

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  • Machine Learning and Big Data Professor at U-tad.

  • Partener en Atiuring - Responsible for leading management decision-making processes and the development and execution of long and short-term strategies.

  • Senior Big Data Consultant at DiConsult.

  • Artificial Intelligence Researcher at Universidad Politécnica de Madrid. 

  • Artificial Intelligence & Machine Learning Professor atESNE, University School of Design, Innovation and Technology.

  • Research Collaborator at Virginia Tech. Artificial Intelligence applied to the design of autonomous systems.

Juan Novo

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  • CIO / Director of Digital Transformation / CDO. IT executive with 25 years of experience in technology management and its fit in the business strategy.

  • Specialist in business transformation through the application of new technologies, such as Big Data, Data Science and Artificial Intelligence, to implement use cases that provide new links between brands and their customers through digital channels, and integration with traditional channels to provide the best customer experience.

  • Professor at MBIT School.

  • In-depth knowledge of the automotive after-sales, Telco and Media retail sectors. International and multicultural mentality. Computer Engineer, Executive MBA (IESE), and Master in Business Intelligence & Big Data.

  • Leader of the digital transformation of the business and the daily operations of the IT function.

academic board

Roberto piccini

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  • Director of the Professional Careers Area of ​​the Professional Association of Artificial Intelligence, AI-Network.

  • Senior Electronics Engineer, with experience leading R&D projects at European level, in the field of Telecommunications and Microelectronics.

  • HR expert with 20 years of experience in management roles in technology multinationals and Universities, as well as Talent Management consulting activities.

  • Professor at various Universities and Business Schools and In-Company trainer in the areas of Management Skills and People and Team Management.

Ricardo Moya

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  • Director of the Education Area of ​​the Professional Association of Artificial Intelligence, AINetwork.

  • Doctor in Information Sciences and Technologies, specialized in Artificial Intelligence and Big Data.

  • Technical Leader of Data Science and Big Data at Telefónica I + D | CDO.

  • Director of Big Data Projects in Real Time at Devo.

  • Researcher in Recommendation Systems and (Deep) Machine Learning at the U. Politécnica de Madrid.

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