Use Case
More productivity and less CO2 with Cognitive Computing
How to optimise production and reduce emissions in the process industry.
Where: Italy
Where: Italy
Mission
Introducing advanced technologies within industrial processes to enhance production efficiency and resource utilization while concurrently contributing to the transition towards achieving net-zero emissions.
Solution
The "Cognitive Automation Platform" is an integrated solution grounded in cognitive processes, enabling the optimization of production, enhancement of product quality, reduction of resource consumption (including electricity), and mitigation of CO2 emissions. Tailored for various sectors such as asphalt, pharmaceuticals, and steel, this platform offers versatile functionalities designed to meet the unique needs and challenges of each industry. Moreover, open-source platforms like FIWARE and Apache play a crucial role in facilitating seamless integration across the entire ecosystem, further augmenting the capabilities of the platform.
Digital Ecosystem
Actions
Digital Ecosystem
- Cognitive technologies are increasingly deployed to enhance business intelligence across various sectors.
- Using a hybrid edge-cloud architecture, incorporating different levels of sensors, control, operations, and planning, enables more efficient data processing and analysis.
- This architecture, complemented by cognitive computing services and solutions, empowers organizations to extract valuable insights from complex datasets.
Expected results
Hybrid edge-cloud architecture
Compliant with data security standards
Applicable to other sectors
Technologies
Internet Of Things
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From the Internet of Things to the Internet of Me: the key to data connection.
Digital Twin
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See, think, simulate, and decide: Digital Twin is the entry point into the era of the data economy, the virtual replica of a real product and process.
To know more
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