The present evolution of the process of developing technologies and information systems leads to the search and validation of increasingly innovative concepts, the evaluation of new business models more centered on digital, going through the phases inherent to a product engineering process.
The CCG/ZGDV Institute supports the software, ICT and new media industries in developing new ways of interacting, storing, processing and exploring information, satisfying their needs and demands for innovation in processes, products and services, thus expanding the innovation capacity.
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Challenges and Opportunities
- High pace of technological innovation, with the emergence of new technologies (e.g. artificial intelligence, computational learning, blockchain, cloud computing) that offer new business models, revenue streams, efficiency and scalability
- Global competition and talent shortages, which require innovative strategies to attract and retain the best talent and compete in international markets
- Growing international expansion and market diversification
- Cybersecurity and data privacy, which currently require robust measures to protect digital assets and consumer data
- Digitalization of processes and services and the growing demand for new products
Strategies
- Invest in research and innovation, standing out from the competition
- Develop and implement strong cybersecurity and data privacy policies to protect consumers' digital assets and data
- Collaborate with other companies, governments and academia to develop global standards and regulations to promote market access and cross-border collaboration
- Create and apply effective talent management strategies to attract and retain the best
- Adopt agile and flexible business models to respond to rapid changes in technology and consumer demand
- Leverage emerging technologies to develop new products and services and improve operational efficiency
Featured projects (6)
Software and business processes
Artificial intelligence, machine learning, and decision support systems
Cognitive and collaborative robotics
Human Factors, usability, and UX design
Artificial intelligence, machine learning, and decision support systems
Cognitive and collaborative robotics
Human Factors, usability, and UX design
Software and business processes
Artificial intelligence, machine learning, and decision support systems
Ontologies and interoperability
Computer vision and image processing
Computer graphics, virtual, augmented and mixed reality
Cognitive and collaborative robotics
Human Factors, usability, and UX design
Artificial intelligence, machine learning, and decision support systems
Ontologies and interoperability
Computer vision and image processing
Computer graphics, virtual, augmented and mixed reality
Cognitive and collaborative robotics
Human Factors, usability, and UX design
Artificial intelligence, machine learning, and decision support systems
Artificial intelligence, machine learning, and decision support systems
