The document discusses deploying FIWARE-based machine learning and artificial intelligence solutions with limited resources at the edge, such as in a hospital environment. It describes using FIWARE components like Cosmos and Draco to build a data analysis platform called EDVL for a project that aims to empower doctors and researchers to use data science and prevent future pandemics. The platform will analyze healthcare data from multiple hospitals to help predict severe medical cases and aid in intensive care. Current work involves deploying initial FIWARE components on a virtual machine in a hospital and loading hospital data into an intermediate database.

1. Vienna, Austria
12-13 June, 2023
#FIWARESummit
From Data
to Value
OPEN SOURCE
OPEN STANDARDS
OPEN COMMUNITY
Frugal AI in a hospital
environment with FIWARE
Joaquín Salvachua // Alvaro Alonso Universidad Politécnica de
Madrid

2. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
Moving ML/AI with FIWARE to different places
Need to deploy FIWARE based solutions on different places.
Moving from the Cloud to the Edge : not so much infrastructure available.
Deploy the solutions on limited resources : we can not use the usual solutions.
FIWARE is a great environment for this : Close to the Edge is easy with streamming data
solutions.

3. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
Need to support part for the ML-OPS life cycle with limited resources.

4. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
EDVL: Cosmos based platform for data Analisys
▪ DevOps like infrastructure (in house)
Single machine (docker compose)
Kubernetes cluster

5. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
Solutions for infrastructure
▪ Docker Based :
• Docker compose : easiest solutions with few containers
▪ Kubernetes
• K3S
□ Lightweight Kubernetes solutions (may run on a single virtual machine) : https://k3s.io
• Nephio
□ Edge solution for Kubernetes ( 5G deployments related ) : https://nephio.org
Worst case : Single virtual machine (Windows)

6. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
Trying to introduce an agile Data science and engineering
infrastructure on hospitals
Very Good Doctors and researchers but lacking Data science and Data engineering
capabities.
Try to build ”easy” tools for them to test their ideas over data :: FIWARE architecture is
great for this.
Build usefull simple services that may save lifes.
Be ready to detect a new pandemic before it blows up ( hint : data science failed over
the COVID19 crisis ).
Trying to provide an enviroment to help them to use the tools. No need to be experts.

7. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
More Problems
Non-technical people do not fully understand the steps for:
• Small and medium Data to Big Data infrastructure tools.
• Batch analysis to soft real time streaming data analysis.
Most learn with notebooks tailored for the batch-small data case (Jupyter notebooks
and similar).
This does not allow them to think of the real solutions and they just get stuck on the
problems.

8. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
React EU project
▪ Diverse research lines to prevente new pandemic.
▪ Relationship between Madrid Comunity hospitals and researchers.
▪ Lot of different lines.
▪ Our line :: build the bridge between FIWARE architecture and Hospitals data in order
to empower doctors and researchers.
▪ Able to handle both big data and small-médium data.
▪ Intial case : Prediction in Intensive Care and help the Open IC paradigm

9. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
REACT-UE project: Building AI systms based on healthcare data
▪ Project about create infrastructure to pre-detect next pandemic as soon as possible
▪ Our line :: build the bridge between FIWARE architecture and Hospitals data in order to
empower doctors and researchers.
▪ Big Data Analisys and visualization.
• Medical cases by several hospitals (EDVL4Pandemics )
• Get new cases proposed by doctors ( alarm in urgency and predict severe cases before
any clear symptom is observable, even via 5G in ambulance).
▪ First pilot in Henares Hospital (Madrid) (reference hospital
FIWARE
Draco
FIWARE
Cosmos
FIWARE
Context Broker MLOps
Apache Zeppelin

10. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
Mission
The objective of this task is to implement the Educational Data Virtual Lab
(EDVL): https://github.com/ging/edvl
EDVL is a component of the ADA project that will be used for the delivery of
the practical and hands-on part of the Urban Mobility Data Science courses.
Also to be use on medical cases by several hospitals (EDVL4Pandemics).
It is based on the European FIWARE platform, in which the specific
components of Data Science applied to Urban Mobility will be integrated.
Users will be able to analyze open data sets (anonymized) and also real
data from client companies.
Allow them to be able to understand and use Streaming data analysis and
big data tools.

11. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
Data governance: use your own data in your premises
Most examples and courses must use open datasets.
Sometimes it is hard for companies to share or produce public datasets.
If you deploy inside your infrastructure you can connect to your own data.
This allows the transitions from examples to your data
All could be secured via KeyRock Component
Right now data access control (evolving to data usage control tool)
Our solution : All data is keep and analysed into the hospital
infrastructure (hint : is not well prepared for this).

12. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
EDVL: Cosmos based platform for data Analysis
▪ Big Data Analisys and visualization
▪ Based on Apache zepeling fully integrated with FIWARE architectura
▪ https://github.com/ging/edvl
FIWARE Cosmos
FIWARE Draco
FIWARE
Context Broker
Real-time data
sources
Historical
database
Additional data
sources
Open data
Apache Zeppelin
FIWARE
Keyrock
FIWARE
Wilma
DevOps like infrastructure (in house)
Be sure data is keep inside the infrastructure : no need for extra gobernance
First version : Share nothing run all inside the hospital

13. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
First results : patient journey into the hospital
▪ Primary care and Emergencies ( AP, URG)

14. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
Actual situation
▪ Initial deployment of fiware components in the hospital
▪ Infrastructure (Windows virtual machine and restrictive
firewals).
▪ Dump of hospital data on intermediary database

15. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
Frugal AI
▪ Actual AI/ML environment are develop for the Cloud : cheap and easy Access to
resources like memory or GPUs.
▪ Need to de it with les resources (sometimes choose different ML algorithms):
• Not everything need to be Deep learning, for example random forest could be just a
Little worse with much les resource comsuption.
• Aware of green-AI

16. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
Frugal AI Implementation
▪ Try to develop AI with less resources and try to get predictions via ML.
▪ Actual solutions : TensorFlow Lite https://www.tensorflow.org/lite
▪ Move to Go from python

17. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
Actual environment

18. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org

19. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
Conclusions
▪ Just open a new line of collaboration (like dev-ops started a new path)
▪ Need to help them to use real data, specially “real time” one.
▪ Identify next pandemic as soon as possible
▪ Lots of ideas from doctors not complex to implement, just they are not experts on
ML-OPS.

20. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
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