Why CDXi?
Sustainable growth in public and private industrial ecosystems is not just a moral issue for future generations; it is the key to economic growth and prosperity. Coupling digital transformation with green transition leads to:
- Faster and effective decision-making
- Cost reduction with cost-effective digital solutions
- Pollution/emission estimation to avoid penalties from environmental agencies.
Exposure of citizens to potential disasters has led to vulnerable societies that require risk reduction technologies and solutions for monitoring crisis events and environmental issues. Drinking water is one main source of risk when its safety and security are not ensured; from its collection stage to its final distribution, water quality and cascade effects from water quantity and pressure in the network, requires cost-effective solutions for warning message generation to the water utility operators.
In general, the monitoring of a crisis event requires multimodal data fusion solutions to ensure that the local authorities will get reliable and important support to have full situational awareness and manage a crisis event. Data from sensors, Unmanned Vehicles, satellite images, messages from the first responders or other authorities on dedicated mobile apps, forums, blogs, and social media networks need to be collected and made available on time to civil protection agencies and public authorities.
Citizens are also exposed to industrial waste and emissions that can be potentially harmful for their lives. EU regulation has become stricter over the last decades with new directives and measures to reduce environmental footprint through a digital transformation that is also green. Digital and green transition in the industrial sector, known also as twin transition, fosters sustainable innovation and seamless monitoring of environmental variables. Each production line requires custom and data-driven solutions to optimize product quality, while protecting its infrastructure and surrounding ecosystem. Environmental awareness is crucial for monitoring the production process and its levels of sustainability towards giving value to industrial waste and being in line with EU regulations.
Our offer
The increasing amount of sensor measurements and multimodal data in both public and private organisations has also given rise to the necessity in transforming traditional practices into modern digital procedures with AI. However, the twin-transition paradigm couples the digital transition with environmental-friendly and cost-effective solutions for sustainability. To that end we exploit the results and co-created data assets with key environmental agencies for validation and extension of AI models for social good and economic impact to offer: