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Introduction

Data-EDIH (Data European Digital Innovation Hub) primarily provides extensive expertise (expert consulting, training, technology demonstrations) in the field of data asset management and data management for the digital transformation of the healthcare industry (health care, food industry). With the consulting and training services provided by Data-EDIH, businesses have the opportunity to improve their data and digital maturity, optimize their processes, manage data more effectively, and thus increase efficiency and productivity. Data is now an important factor in business decision-making, and by applying the appropriate data management and processing technologies, businesses can significantly improve their competitiveness by making more efficient use of the data available to them.

Objective

The purpose of the Data-EDIH project is to support domestic small and medium-sized enterprises and public sector actors in improving their digital maturity. The general focus of the project is data provision, while the industrial focus is the health industry (one health). The support of the organizations participating in the project is realized through trainings and consulting services.

Target group

All small and medium-sized enterprises operating in Hungary can participate in the project, but we primarily targeted the data industry and data technology development of SMEs operating in the health and food industries.


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Additional Details

  • Hungarian, English
  • Not open to visitors
  • János Neumann Nonprofit Közhhasznú Kft.
  • 2023
  • Big Data management, Intelligent energy usage, IOT; sensor technology; monitoring, Lean and other manufacturing methodologies, Artificial intelligence (image analysis; prediction; etc.), Enterprise Resource Planning (ERP), XR
  • Big Data management, Intelligent energy usage, IOT; sensor technology; monitoring, Lean and other manufacturing methodologies, Artificial intelligence (image analysis; prediction; etc.), Enterprise Resource Planning (ERP), XR
  • Big Data management, Intelligent energy usage, IOT; sensor technology; monitoring, Artificial intelligence (image analysis; prediction; etc.), Enterprise Resource Planning (ERP)
  • Big Data management, Intelligent energy usage, IOT; sensor technology; monitoring, Lean and other manufacturing methodologies, Artificial intelligence (image analysis; prediction; etc.), Enterprise Resource Planning (ERP), XR
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