Need to Innovate: Data and AI as Drivers of Change
In a world where technological progress and societal challenges such as climate change and geopolitical shifts are redefining the playing field, innovation is an absolute necessity. Data and artificial intelligence (AI) act as catalysts for groundbreaking solutions and sustainable growth. However, many organizations do not optimally utilize their data, often due to a lack of a strategic and data-centric approach. By intelligently organizing processes around data, organizations increase their innovation power, accelerate their ability to respond to market changes, and strengthen their competitive position.
Leadership in a data-driven world requires a vision that puts innovation at the center. The C-Level Leadership Program Innovation and Transformation with Data and AI, developed by Erasmus University Rotterdam and its flagship center for Data Analytics (ECDA) and thought leaders from practice, offers leaders a unique opportunity to translate technological progress and data-driven insights into economic growth and societal impact. The program combines scientific expertise and practice-oriented insights to help leaders find new paths to transformation and innovation.
Key Information
Why this program
Many organizations approach innovation in a technocratic manner. However, data-centric working goes beyond technology; data is seen as a strategic asset. It is about process design, reorientation of objectives, and identifying which activities and data are essential for the organization. All innovative technologies and applications are data-driven, without exception. Only we are often not well-organized to use this data effectively. Data-centric working requires a radical change, away from old structures, systems, and processes towards new business operating models to stay ahead of societal changes.
It requires leadership with courage and perseverance. It is about leadership with a holistic view of the organization and thereby making connections between distinct parts of the organization, but also with other organizations to enable data-centric working in chains.
In collaboration with various experts and guest speakers, we have developed the holistic C-level program 'Innovation and Transformation with Data and AI'. This program enables leaders to realize changes in thinking and acting within organizations and thereby stimulate innovation.
Why this program
Many organizations approach innovation in a technocratic manner. However, data-centric working goes beyond technology; data is seen as a strategic asset. It is about process design, reorientation of objectives, and identifying which activities and data are essential for the organization. All innovative technologies and applications are data-driven, without exception. Only we are often not well-organized to use this data effectively. Data-centric working requires a radical change, away from old structures, systems, and processes towards new business operating models to stay ahead of societal changes.
It requires leadership with courage and perseverance. It is about leadership with a holistic view of the organization and thereby making connections between distinct parts of the organization, but also with other organizations to enable data-centric working in chains.
In collaboration with various experts and guest speakers, we have developed the holistic C-level program 'Innovation and Transformation with Data and AI'. This program enables leaders to realize changes in thinking and acting within organizations and thereby stimulate innovation.
What the program offers
Integral Strategic Insight
Combining data, technology, and leadership in a cohesive vision.
Acceleration in innovation power
Effectively deploying data to transform the organization towards a stronger competitive position and its value chain towards sustainable growth.
Directly applicable knowledge
Combining scientific interdisciplinary insights from the ECDA expert practices and practical experience to solve complex issues.
Leadership in connection
Creating new collaborations within and between organizations.
Exclusive network
Building relationships with like-minded leaders and experts within a dynamic alumni network and exclusive access to the ECDA community.
Certification and recognition
Underlining expertise with a certificate of participation.
Why Erasmus University Rotterdam
Erasmus University Rotterdam (EUR) has an excellent academic reputation and is highly regarded in the national and international rankings of the world's best universities. The university has an impressive No. 1 position in the Netherlands, No. 5 in Europe, and a No. 22 rating worldwide. As part of Convergence, there is close collaboration with Erasmus MC and TU Delft.
Erasmus Centre for Data Analytics (ECDA) is EUR's center of expertise for interdisciplinary insight into the societal and economic impact of data, artificial intelligence (AI), digitalization, and immersive technologies (XR). We believe that data, algorithms, and AI, used in an ethical, explainable, and human-centered way, act as vehicles for the necessary changes and transitions to address current and future societal challenges.
In our programs, we challenge our participants hands-on and share, in addition to academic insights, a lot of practical experience through (inter)national guest speakers from our partner network. We focus on authentic challenges and insightful use cases. Over the years, we have been able to launch various successful programs for professionals where the most recent academic and practical insights are bundled. In this, we work closely with experts from various EUR faculties, including from the beginning with the Rotterdam School of Management.
Why Erasmus University Rotterdam
Erasmus University Rotterdam (EUR) has an excellent academic reputation and is highly regarded in the national and international rankings of the world's best universities. The university has an impressive No. 1 position in the Netherlands, No. 5 in Europe, and a No. 22 rating worldwide. As part of Convergence, there is close collaboration with Erasmus MC and TU Delft.
Erasmus Centre for Data Analytics (ECDA) is EUR's center of expertise for interdisciplinary insight into the societal and economic impact of data, artificial intelligence (AI), digitalization, and immersive technologies (XR). We believe that data, algorithms, and AI, used in an ethical, explainable, and human-centered way, act as vehicles for the necessary changes and transitions to address current and future societal challenges.
In our programs, we challenge our participants hands-on and share, in addition to academic insights, a lot of practical experience through (inter)national guest speakers from our partner network. We focus on authentic challenges and insightful use cases. Over the years, we have been able to launch various successful programs for professionals where the most recent academic and practical insights are bundled. In this, we work closely with experts from various EUR faculties, including from the beginning with the Rotterdam School of Management.
Key Information
Advisory Committee
Annelien Bredenoord
Chair of the Executive Board of Erasmus University Rotterdam
"Technological developments such as Artificial Intelligence (AI) make our organizations even more aware of the importance of good data use across the board. To ensure responsible use of these progressive technologies, a holistic, sustainable data strategy is necessary, in which technology and ethics go hand in hand from the start."
Marguerite Soeteman-Reijnen
Chair of the Advisory Board of the SER Top Vrouwen
Commissioner Siemens Netherlands
Former CEO of Aon
"To distinguish yourself in a world full of competition, it is important to realize which technology and data are nice to have and/or need to have. But also, which competencies matter now and/or tomorrow."
Petra Wormser
CEO Zorgverzekeraars Nederland
"‘Healthcare innovation is necessary to maintain access to healthcare in the future. The challenge posed by the labor market and the need to reduce administrative burdens make the use of digital and hybrid care essential. The use of healthcare data is crucial here so that every citizen can receive the right care at the right time and in the right place."
Founding Partners & Launching Participants
Funding Partners & Launching Participants
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