Artificial Intelligence is reshaping business, requiring a new skill set to harness its potential. Key to its success are b-smart technologies driven by Big Data, including Blockchain, Social media, Mobile use, Analytics, Cloud, and IoT.
This shift necessitates understanding and navigating ethical, legal, and technical challenges, impacting customer relationships, product development, operations, and business models. Embracing a data-driven approach is crucial for every facet of the organization to thrive in this evolving landscape.
Artificial Intelligence is reshaping business, requiring a new skill set to harness its potential. Key to its success are b-smart technologies driven by Big Data, including Blockchain, Social media, Mobile use, Analytics, Cloud, and IoT.
This shift necessitates understanding and navigating ethical, legal, and technical challenges, impacting customer relationships, product development, operations, and business models. Embracing a data-driven approach is crucial for every facet of the organization to thrive in this evolving landscape.
This program blends business, data science, and societal insights. Participants, typically in teams of 3 to 5, gain versatile data analytics skills fostering innovative value creation. Through experiential learning across individual, group, and corporate levels, it offers a multidimensional approach spanning various functions
This program blends business, data science, and societal insights. Participants, typically in teams of 3 to 5, gain versatile data analytics skills fostering innovative value creation. Through experiential learning across individual, group, and corporate levels, it offers a multidimensional approach spanning various functions
Learn the complete data analytics journey, from data exploration, data engineering, data analysis, data visualization up to presenting the insights.
Discover new ways to apply data technologies to design and implement innovative and value-creating business and societal applications.
Improve both the business skills of technically focused data scientists and the capabilities of applying quantitative methods by those in business. Hereby mutual understanding is created, which supports the
Broadens data scientists’ and business members understanding of psychological factors, privacy, security, ethics and accountability and stimulates critical thinking
Participating teams bring their own use case (with data sets) to work on during the programme, as part of an action learning project. Here we apply the concept of think big, start small, scale fast. Previous alumni teams have worked on several interesting action learning projects towards a proof of concept, applying all the learnings of the programme.
Participating teams bring their own use case (with data sets) to work on during the programme, as part of an action learning project. Here we apply the concept of think big, start small, scale fast. Previous alumni teams have worked on several interesting action learning projects towards a proof of concept, applying all the learnings of the programme.
Holistic (considering the complete system) with wide range of topics that will be covered.
Facilitates organizational shift to data-driven approaches, guiding teams in tackling this challenge hands-on.
Develops and enhances organization-specific use cases through hands-on action learning projects.
Teams participants with senior executives and supervisors to implement business applications, fostering team cohesion.
Inspires through peer-learning with cross-industry, cross-functional, and international perspectives, fostering innovation.
Offers in-depth individual coaching of teams by both academics and business consultants.
This program blends business, data science, and societal insights. Participants, typically in teams of 3 to 5, gain versatile data analytics skills fostering innovative value creation. Through experiential learning across individual, group, and corporate levels, it offers a multidimensional approach spanning various functions with representatives coming (ideally) from the following 3 domains in the organization: Data user / business representative, Information officer, ICT specialist.
This program blends business, data science, and societal insights. Participants, typically in teams of 3 to 5, gain versatile data analytics skills fostering innovative value creation. Through experiential learning across individual, group, and corporate levels, it offers a multidimensional approach spanning various functions with representatives coming (ideally) from the following 3 domains in the organization: Data user / business representative, Information officer, ICT specialist.
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Introduction & kick-off,
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Data analytics maturity
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Data analytics strategy
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Executive track
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Use case workshop
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Stakeholder engagement
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Use case elevator pitches
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Use case coaching
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Data architecture & governance
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Legal & accountability
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Data fundamentals workshop
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Visualization & storytelling
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Data ethics workshop
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Artificial Intelligence and advanced topics
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Data driven transformations
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Use case final pithces
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Closure
-
Introduction & kick-off,
-
Data analytics maturity
-
Data analytics strategy
-
Executive track
-
Use case workshop
-
Stakeholder engagement
-
Use case elevator pitches
-
Use case coaching
-
Data architecture & governance
-
Legal & accountability
-
Data fundamentals workshop
-
Visualization & storytelling
-
Data ethics workshop
-
Artificial Intelligence and advanced topics
-
Data driven transformations
-
Use case final pithces
-
Closure