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Data Science & AI Foundations Executive Program

in collaboration with the Eindhoven AI Systems Institute (EAISI)

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Program overview:

The Deloitte Academy in partnership with Eindhoven AI Systems Institute (EAISI), brings to the Greek market a unique Data Science & AI Executive Program with hands-on experience on applicable, real-world AI projects. EAISI is the 1st Institute in the Netherlands to offer AI training with proven results over the past 5 years.

The Deloitte Academy | How to embrace the potential of AI

The Deloitte Academy | How to create value for your company with AI

The Deloitte Academy | Why we need to train our people in Data Science and AI

A Competitive Edge for your Company

By joining the Program your company will gain:

  • Solid and hands-on understanding of the development process for new data-driven applications.
  • Business innovation, solution design and practical data-driven entrepreneurship: knowing what data & AI could bring to your organization. You master the skills to translate business goals and challenges to data science and AI questions.
  • Capability to define a good data & AI project and organize a data science team, and an understanding of the managerial challenges of shaping the analytics ambitions of the organization.
  • Understanding of the opportunities and practical applications of data science in your industry. 

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Target audience

C-suite functions: By leveraging AI technologies and
analytics capabilities, they can gain valuable insights, automate
routine tasks, and make more informed decisions, ultimately driving business
growth, efficiency, and competitive advantage.

CEO or C-Suite level, preferably in pair with a Tech Expert. 

  • Business Executives with 10+ years of experience.
  • Tech Experts with 6+ years of experience.

Chief Finance Officer (CFO), Chief Technology Officer (CTO), Chief Information Officer (CIO), Chief Innovation Officer, Chief Marketing Officer (CMO), Chief Data Officer (CDO), Chief Analytics Officer (CAO), Chief HR Officer (CHRO).

Executives are benefited as below:

executives may use AI for risk management, fraud detection, and algorithmic trading.

executives may leverage AI for personalized medicine, medical imaging analysis, and healthcare operations optimization.

executives can drive significant improvements in efficiency, cost-effectiveness, safety and customer satisfaction.

executives can make more informed decisions by getting insights into property values, can automate repetitive tasks and identify opportunities.

executives may apply AI for demand forecasting, customer segmentation, and personalized marketing.

executives may utilize AI for predictive maintenance, supply chain optimization, and quality control.

executives may lead AI-driven product development, innovation initiatives, and strategic partnerships.

1 path, 2 learning journeys

Path for Business Managers
For professionals who, despite not having a background in technology, want to learn and understand how Data Science and Artificial Intelligence influence their fields.

Path for experts
For professionals who want to learn to develop machine learning solutions, and who are also interested to learn the business implications of Data Science and Artificial Intelligence.

It will be of value for your organization to send at least one participant to each track, as this will allow:

  • developing more realistic project ideas during the course.
  • using combined input from both business / domain expertise as well as data expertise.
  • greatly enhancing collaboration and mutual understanding in consecutive data science efforts in the organization.

The Team:

Carlo van de Weijer – General Manager, Eindhoven AI Systems Institute

Carlo van de Weijer has a master’s degree in mechanical engineering from the TU Eindhoven and a PhD degree with honors from TU in Graz. He carries a broad experience in the automotive industry with a.o. executive positions at Siemens and TomTom. Currently he is the managing director of the newly founded Eindhoven AI System Institute (EAISI) at Eindhoven University of Technology, and Fellow for future of mobility and transport within the Deloitte Center for the Edge. He advises ministries and industries around the world on the future of mobility and is a member of the supervisory board of several high-tech companies, investments firms and start-ups. Furthermore, he is a weekly columnist in a leading Dutch national newspaper.

Joran Lokkerbol – Program Director, Eindhoven AI Systems Institute

Joran has more than 7 years of experience as a data scientist, during which
managed to make a series of impactful contributions, demonstrating a keen
ability to derive meaningful insights from complex datasets. His tenure in
academia showcases his adeptness at imparting knowledge to eager minds. Joran's dual experience as both a seasoned data scientist and a respected lecturer underscores his versatility and commitment to advancing the frontiers of both industry and education.

Pieter Overdevest – Lecturer, Eindhoven AI Systems Institute

Pieter's professional journey unfolds as a compelling narrative, woven over
an extensive 23-year tapestry of expertise in the intricate domains of clinical
operations and data science. Throughout his career, he has been a cornerstone of success within both national and multinational companies in the Netherlands, contributing significantly to the advancement of these organizations through his insights and strategic acumen.

Guest Speaker: Elias Pitsavos - Head of Klarna Greece


Elias Pitsavos is the Head of Greece for Klarna, the leading global BNPL provider. Prior to this position, he has been driving the go-to-market and product strategy for Klarna Payments and Klarna Open Banking in Sweden. Elias has a long experience in the tech industry having served in several leadership roles and different countries for companies like Ericsson and IBM.Download the presentation

Program Director:
Niki Siropoulou
E: nsiropoulou@deloitte.gr
M: +30 6945 70 69 70

For more information and registration, please contact:
Nadine Kaimara:
E: nkaimara@deloitte.gr
M: +30 695 2360 382

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