SlideShare a Scribd company logo
Pre-requisits for using data in
emergency services
Egil Bovim, Heraklion 27th July 2016
Given
• Data: Information which is presented electronically
• Useful: Use of data in emergency services is
something we should encourage
Dangerous words
• Pre-requisit: “Sine qua non” (or almost)
• Big data: We want relevant, not ”big” data
• Real time: Does not mean the same to an engineer
as it means to me, cost issue!
• User friendliness: Intuitive (to me) will do!
Relevant data
• Only data which is needed
• All data which is needed
• Varies along the chain
• Irrelevant data is potentially lethal
noise.
Correct data
• Data from the correct source
• Updated data
5
Accuracy of data
• To be decided by operational needs
– Position
– Body temperature
– Resource needs
Artificial intelligence
• Input from operational institutions
• Input from academia
• Input from ”technical guys”
• Realisation of challenges, pitfalls and opportunities
7
Conclusion
• Operational people need to be clear on what is
needed
• Technical people/ academia need to be clear on
what is possible
• The dialogue is never-ending
– Home Office experience on TETRA
8

More Related Content

What's hot

International Journal of Software Engineering & Applications (IJSEA)
International Journal of Software Engineering & Applications (IJSEA)International Journal of Software Engineering & Applications (IJSEA)
International Journal of Software Engineering & Applications (IJSEA)
ijfcst journal
 
Add6
Add6Add6
International Journal of Software Engineering (SEIJ)
International Journal  of Software Engineering (SEIJ)International Journal  of Software Engineering (SEIJ)
International Journal of Software Engineering (SEIJ)
jackson130
 
Doctor vs engineer
Doctor vs engineerDoctor vs engineer
Doctor vs engineer
Ashok Reddy
 
APPLIED DATA SCIENCE: HET ONTWIKKELEN VAN SLIMME ICT-PRODUCTEN DIE LEREN VAN ...
APPLIED DATA SCIENCE: HET ONTWIKKELEN VAN SLIMME ICT-PRODUCTEN DIE LEREN VAN ...APPLIED DATA SCIENCE: HET ONTWIKKELEN VAN SLIMME ICT-PRODUCTEN DIE LEREN VAN ...
APPLIED DATA SCIENCE: HET ONTWIKKELEN VAN SLIMME ICT-PRODUCTEN DIE LEREN VAN ...
webwinkelvakdag
 
UMKC - 3D Printed Sensor
UMKC - 3D Printed SensorUMKC - 3D Printed Sensor
UMKC - 3D Printed Sensor
kphodel
 
International Journal of Software Engineering & Applications (IJSEA)
International Journal of Software Engineering & Applications (IJSEA)International Journal of Software Engineering & Applications (IJSEA)
International Journal of Software Engineering & Applications (IJSEA)
ijfcst journal
 
Why Data Science Projects Fail
Why Data Science Projects FailWhy Data Science Projects Fail
Why Data Science Projects Fail
Sense Corp
 
International Journal of Software Engineering & Applications (IJSEA)
International Journal of Software Engineering & Applications (IJSEA)International Journal of Software Engineering & Applications (IJSEA)
International Journal of Software Engineering & Applications (IJSEA)
ijfcst journal
 
Towards the Third Wave of Software Testing
Towards the Third Wave of Software TestingTowards the Third Wave of Software Testing
Towards the Third Wave of Software Testing
Dr.Bestoun S. Ahmed
 
International Journal of Software Engineering & Applications (IJSEA)
International Journal of Software Engineering & Applications (IJSEA)International Journal of Software Engineering & Applications (IJSEA)
International Journal of Software Engineering & Applications (IJSEA)
ijfcst journal
 
Intel boubker el mouttahid
Intel boubker el mouttahidIntel boubker el mouttahid
Intel boubker el mouttahid
BigDataExpo
 
Thompson viz demo
Thompson viz demoThompson viz demo
Thompson viz demo
richobrien1
 
Data science a glance
Data science a glanceData science a glance
Data science a glance
Adekunle Babatunde Anthony
 
International Journal of Software Engineering & Applications (IJSEA)
International Journal of Software Engineering & Applications (IJSEA)International Journal of Software Engineering & Applications (IJSEA)
International Journal of Software Engineering & Applications (IJSEA)
ijfcst journal
 
International Journal of Software Engineering & Applications (IJSEA)
International Journal of Software Engineering & Applications (IJSEA)International Journal of Software Engineering & Applications (IJSEA)
International Journal of Software Engineering & Applications (IJSEA)
ijfcst journal
 
Solving industrial process issues
Solving industrial process issuesSolving industrial process issues
Solving industrial process issues
VROC
 
Global trends impacting Israeli digital health startups
Global trends impacting Israeli digital health startupsGlobal trends impacting Israeli digital health startups
Global trends impacting Israeli digital health startups
Prabhu Guptara
 
International Journal of Software Engineering & Applications (IJSEA)
International Journal of Software Engineering & Applications (IJSEA)International Journal of Software Engineering & Applications (IJSEA)
International Journal of Software Engineering & Applications (IJSEA)
ijfcst journal
 

What's hot (19)

International Journal of Software Engineering & Applications (IJSEA)
International Journal of Software Engineering & Applications (IJSEA)International Journal of Software Engineering & Applications (IJSEA)
International Journal of Software Engineering & Applications (IJSEA)
 
Add6
Add6Add6
Add6
 
International Journal of Software Engineering (SEIJ)
International Journal  of Software Engineering (SEIJ)International Journal  of Software Engineering (SEIJ)
International Journal of Software Engineering (SEIJ)
 
Doctor vs engineer
Doctor vs engineerDoctor vs engineer
Doctor vs engineer
 
APPLIED DATA SCIENCE: HET ONTWIKKELEN VAN SLIMME ICT-PRODUCTEN DIE LEREN VAN ...
APPLIED DATA SCIENCE: HET ONTWIKKELEN VAN SLIMME ICT-PRODUCTEN DIE LEREN VAN ...APPLIED DATA SCIENCE: HET ONTWIKKELEN VAN SLIMME ICT-PRODUCTEN DIE LEREN VAN ...
APPLIED DATA SCIENCE: HET ONTWIKKELEN VAN SLIMME ICT-PRODUCTEN DIE LEREN VAN ...
 
UMKC - 3D Printed Sensor
UMKC - 3D Printed SensorUMKC - 3D Printed Sensor
UMKC - 3D Printed Sensor
 
International Journal of Software Engineering & Applications (IJSEA)
International Journal of Software Engineering & Applications (IJSEA)International Journal of Software Engineering & Applications (IJSEA)
International Journal of Software Engineering & Applications (IJSEA)
 
Why Data Science Projects Fail
Why Data Science Projects FailWhy Data Science Projects Fail
Why Data Science Projects Fail
 
International Journal of Software Engineering & Applications (IJSEA)
International Journal of Software Engineering & Applications (IJSEA)International Journal of Software Engineering & Applications (IJSEA)
International Journal of Software Engineering & Applications (IJSEA)
 
Towards the Third Wave of Software Testing
Towards the Third Wave of Software TestingTowards the Third Wave of Software Testing
Towards the Third Wave of Software Testing
 
International Journal of Software Engineering & Applications (IJSEA)
International Journal of Software Engineering & Applications (IJSEA)International Journal of Software Engineering & Applications (IJSEA)
International Journal of Software Engineering & Applications (IJSEA)
 
Intel boubker el mouttahid
Intel boubker el mouttahidIntel boubker el mouttahid
Intel boubker el mouttahid
 
Thompson viz demo
Thompson viz demoThompson viz demo
Thompson viz demo
 
Data science a glance
Data science a glanceData science a glance
Data science a glance
 
International Journal of Software Engineering & Applications (IJSEA)
International Journal of Software Engineering & Applications (IJSEA)International Journal of Software Engineering & Applications (IJSEA)
International Journal of Software Engineering & Applications (IJSEA)
 
International Journal of Software Engineering & Applications (IJSEA)
International Journal of Software Engineering & Applications (IJSEA)International Journal of Software Engineering & Applications (IJSEA)
International Journal of Software Engineering & Applications (IJSEA)
 
Solving industrial process issues
Solving industrial process issuesSolving industrial process issues
Solving industrial process issues
 
Global trends impacting Israeli digital health startups
Global trends impacting Israeli digital health startupsGlobal trends impacting Israeli digital health startups
Global trends impacting Israeli digital health startups
 
International Journal of Software Engineering & Applications (IJSEA)
International Journal of Software Engineering & Applications (IJSEA)International Journal of Software Engineering & Applications (IJSEA)
International Journal of Software Engineering & Applications (IJSEA)
 

Viewers also liked

2.1 TEMU Workshop 2016
2.1   TEMU Workshop 2016 2.1   TEMU Workshop 2016
2.1 TEMU Workshop 2016
Fraunhofer FOKUS
 
1.3. Australian Red Cross Workshop in Crete
1.3. Australian Red Cross Workshop in Crete1.3. Australian Red Cross Workshop in Crete
1.3. Australian Red Cross Workshop in Crete
Fraunhofer FOKUS
 
1.1 NG911: Emergency communication in the United States
1.1 NG911: Emergency communication in the United States1.1 NG911: Emergency communication in the United States
1.1 NG911: Emergency communication in the United States
Fraunhofer FOKUS
 
1.2 Ed Parsons, Google
1.2   Ed Parsons, Google1.2   Ed Parsons, Google
1.2 Ed Parsons, Google
Fraunhofer FOKUS
 
2.4 Nexes TEMU Workshop 2016
2.4   Nexes TEMU Workshop 20162.4   Nexes TEMU Workshop 2016
2.4 Nexes TEMU Workshop 2016
Fraunhofer FOKUS
 
2.2 Episecc project Overview
2.2   Episecc project Overview2.2   Episecc project Overview
2.2 Episecc project Overview
Fraunhofer FOKUS
 
2.3 Workshop "Next Generation Emergency Services" 27th of July
2.3  Workshop "Next Generation Emergency Services" 27th of July2.3  Workshop "Next Generation Emergency Services" 27th of July
2.3 Workshop "Next Generation Emergency Services" 27th of July
Fraunhofer FOKUS
 

Viewers also liked (7)

2.1 TEMU Workshop 2016
2.1   TEMU Workshop 2016 2.1   TEMU Workshop 2016
2.1 TEMU Workshop 2016
 
1.3. Australian Red Cross Workshop in Crete
1.3. Australian Red Cross Workshop in Crete1.3. Australian Red Cross Workshop in Crete
1.3. Australian Red Cross Workshop in Crete
 
1.1 NG911: Emergency communication in the United States
1.1 NG911: Emergency communication in the United States1.1 NG911: Emergency communication in the United States
1.1 NG911: Emergency communication in the United States
 
1.2 Ed Parsons, Google
1.2   Ed Parsons, Google1.2   Ed Parsons, Google
1.2 Ed Parsons, Google
 
2.4 Nexes TEMU Workshop 2016
2.4   Nexes TEMU Workshop 20162.4   Nexes TEMU Workshop 2016
2.4 Nexes TEMU Workshop 2016
 
2.2 Episecc project Overview
2.2   Episecc project Overview2.2   Episecc project Overview
2.2 Episecc project Overview
 
2.3 Workshop "Next Generation Emergency Services" 27th of July
2.3  Workshop "Next Generation Emergency Services" 27th of July2.3  Workshop "Next Generation Emergency Services" 27th of July
2.3 Workshop "Next Generation Emergency Services" 27th of July
 

Similar to 1.4 Pre-requisits for using data in emergency services

9626 GCE AS Information Technology Chapter 1
9626 GCE AS Information Technology Chapter 19626 GCE AS Information Technology Chapter 1
9626 GCE AS Information Technology Chapter 1
Anthi Aristotelous
 
On Understanding Data Scientists
On Understanding  Data ScientistsOn Understanding  Data Scientists
On Understanding Data Scientists
Jácome Cunha
 
Top BI trends and predictions for 2017
Top BI trends and predictions for 2017Top BI trends and predictions for 2017
Top BI trends and predictions for 2017
Panorama Software
 
Square Pegs In Round Holes: Rethinking Data Availability in the Age of Automa...
Square Pegs In Round Holes: Rethinking Data Availability in the Age of Automa...Square Pegs In Round Holes: Rethinking Data Availability in the Age of Automa...
Square Pegs In Round Holes: Rethinking Data Availability in the Age of Automa...
Denodo
 
TIC-TOC: Disrupt the Threat Management Conversation with Dominique Singer and...
TIC-TOC: Disrupt the Threat Management Conversation with Dominique Singer and...TIC-TOC: Disrupt the Threat Management Conversation with Dominique Singer and...
TIC-TOC: Disrupt the Threat Management Conversation with Dominique Singer and...
SaraPia5
 
Correlation does not mean causation
Correlation does not mean causationCorrelation does not mean causation
Correlation does not mean causation
Peter Varhol
 
Why Does IT Cost So Much CANHEIT v10
Why Does IT Cost So Much CANHEIT v10Why Does IT Cost So Much CANHEIT v10
Why Does IT Cost So Much CANHEIT v10
Mark Roman
 
Service and Support for Science IT -Peter Kunzst, University of Zurich
Service and Support for Science IT-Peter Kunzst, University of ZurichService and Support for Science IT-Peter Kunzst, University of Zurich
Service and Support for Science IT -Peter Kunzst, University of Zurich
Mind the Byte
 
NYC Open Data Meetup-- Thoughtworks chief data scientist talk
NYC Open Data Meetup-- Thoughtworks chief data scientist talkNYC Open Data Meetup-- Thoughtworks chief data scientist talk
NYC Open Data Meetup-- Thoughtworks chief data scientist talk
Vivian S. Zhang
 
How to get business ready for Wearables: GDayX Mumbai 2014
How to get business ready for Wearables: GDayX Mumbai 2014How to get business ready for Wearables: GDayX Mumbai 2014
How to get business ready for Wearables: GDayX Mumbai 2014
Romin Irani
 
Management by data
Management by dataManagement by data
Management by data
Luca Foresti
 
The obligatory EHR Implementation Lessons Learned presentation
The obligatory EHR Implementation Lessons Learned presentationThe obligatory EHR Implementation Lessons Learned presentation
The obligatory EHR Implementation Lessons Learned presentation
Jack Shaffer
 
CAPI _TRIPS_SMS
CAPI _TRIPS_SMSCAPI _TRIPS_SMS
CAPI _TRIPS_SMS
Deepak Dhopat
 
Lecture 1 [MIS] .pptx Data flow djnsdjnasjkdjahd
Lecture 1 [MIS] .pptx Data flow djnsdjnasjkdjahdLecture 1 [MIS] .pptx Data flow djnsdjnasjkdjahd
Lecture 1 [MIS] .pptx Data flow djnsdjnasjkdjahd
AhmedLakhwera
 
DataScience_introduction.pdf
DataScience_introduction.pdfDataScience_introduction.pdf
DataScience_introduction.pdf
SouravBiswas747273
 
Machine Learning and Multi Drug Resistant(MDR) Infections case study
Machine Learning and Multi Drug Resistant(MDR) Infections case studyMachine Learning and Multi Drug Resistant(MDR) Infections case study
Machine Learning and Multi Drug Resistant(MDR) Infections case study
AlgoAnalytics Financial Consultancy Pvt. Ltd.
 
Data science and its potential to change business as we know it. The Roadmap ...
Data science and its potential to change business as we know it. The Roadmap ...Data science and its potential to change business as we know it. The Roadmap ...
Data science and its potential to change business as we know it. The Roadmap ...
InnoTech
 
Ethics for Conversational AI
Ethics for Conversational AIEthics for Conversational AI
Ethics for Conversational AI
Verena Rieser
 
Why i hate digital forensics - draft
Why i hate digital forensics  -  draftWhy i hate digital forensics  -  draft
Why i hate digital forensics - draft
Damir Delija
 
PA webinar on benefits & costs of FAIR implementation in life sciences
PA webinar on benefits & costs of FAIR implementation in life sciences PA webinar on benefits & costs of FAIR implementation in life sciences
PA webinar on benefits & costs of FAIR implementation in life sciences
Pistoia Alliance
 

Similar to 1.4 Pre-requisits for using data in emergency services (20)

9626 GCE AS Information Technology Chapter 1
9626 GCE AS Information Technology Chapter 19626 GCE AS Information Technology Chapter 1
9626 GCE AS Information Technology Chapter 1
 
On Understanding Data Scientists
On Understanding  Data ScientistsOn Understanding  Data Scientists
On Understanding Data Scientists
 
Top BI trends and predictions for 2017
Top BI trends and predictions for 2017Top BI trends and predictions for 2017
Top BI trends and predictions for 2017
 
Square Pegs In Round Holes: Rethinking Data Availability in the Age of Automa...
Square Pegs In Round Holes: Rethinking Data Availability in the Age of Automa...Square Pegs In Round Holes: Rethinking Data Availability in the Age of Automa...
Square Pegs In Round Holes: Rethinking Data Availability in the Age of Automa...
 
TIC-TOC: Disrupt the Threat Management Conversation with Dominique Singer and...
TIC-TOC: Disrupt the Threat Management Conversation with Dominique Singer and...TIC-TOC: Disrupt the Threat Management Conversation with Dominique Singer and...
TIC-TOC: Disrupt the Threat Management Conversation with Dominique Singer and...
 
Correlation does not mean causation
Correlation does not mean causationCorrelation does not mean causation
Correlation does not mean causation
 
Why Does IT Cost So Much CANHEIT v10
Why Does IT Cost So Much CANHEIT v10Why Does IT Cost So Much CANHEIT v10
Why Does IT Cost So Much CANHEIT v10
 
Service and Support for Science IT -Peter Kunzst, University of Zurich
Service and Support for Science IT-Peter Kunzst, University of ZurichService and Support for Science IT-Peter Kunzst, University of Zurich
Service and Support for Science IT -Peter Kunzst, University of Zurich
 
NYC Open Data Meetup-- Thoughtworks chief data scientist talk
NYC Open Data Meetup-- Thoughtworks chief data scientist talkNYC Open Data Meetup-- Thoughtworks chief data scientist talk
NYC Open Data Meetup-- Thoughtworks chief data scientist talk
 
How to get business ready for Wearables: GDayX Mumbai 2014
How to get business ready for Wearables: GDayX Mumbai 2014How to get business ready for Wearables: GDayX Mumbai 2014
How to get business ready for Wearables: GDayX Mumbai 2014
 
Management by data
Management by dataManagement by data
Management by data
 
The obligatory EHR Implementation Lessons Learned presentation
The obligatory EHR Implementation Lessons Learned presentationThe obligatory EHR Implementation Lessons Learned presentation
The obligatory EHR Implementation Lessons Learned presentation
 
CAPI _TRIPS_SMS
CAPI _TRIPS_SMSCAPI _TRIPS_SMS
CAPI _TRIPS_SMS
 
Lecture 1 [MIS] .pptx Data flow djnsdjnasjkdjahd
Lecture 1 [MIS] .pptx Data flow djnsdjnasjkdjahdLecture 1 [MIS] .pptx Data flow djnsdjnasjkdjahd
Lecture 1 [MIS] .pptx Data flow djnsdjnasjkdjahd
 
DataScience_introduction.pdf
DataScience_introduction.pdfDataScience_introduction.pdf
DataScience_introduction.pdf
 
Machine Learning and Multi Drug Resistant(MDR) Infections case study
Machine Learning and Multi Drug Resistant(MDR) Infections case studyMachine Learning and Multi Drug Resistant(MDR) Infections case study
Machine Learning and Multi Drug Resistant(MDR) Infections case study
 
Data science and its potential to change business as we know it. The Roadmap ...
Data science and its potential to change business as we know it. The Roadmap ...Data science and its potential to change business as we know it. The Roadmap ...
Data science and its potential to change business as we know it. The Roadmap ...
 
Ethics for Conversational AI
Ethics for Conversational AIEthics for Conversational AI
Ethics for Conversational AI
 
Why i hate digital forensics - draft
Why i hate digital forensics  -  draftWhy i hate digital forensics  -  draft
Why i hate digital forensics - draft
 
PA webinar on benefits & costs of FAIR implementation in life sciences
PA webinar on benefits & costs of FAIR implementation in life sciences PA webinar on benefits & costs of FAIR implementation in life sciences
PA webinar on benefits & costs of FAIR implementation in life sciences
 

Recently uploaded

原版定制(ucdavis毕业证书)加州大学戴维斯分校毕业证学位证书电子版原版一模一样
原版定制(ucdavis毕业证书)加州大学戴维斯分校毕业证学位证书电子版原版一模一样原版定制(ucdavis毕业证书)加州大学戴维斯分校毕业证学位证书电子版原版一模一样
原版定制(ucdavis毕业证书)加州大学戴维斯分校毕业证学位证书电子版原版一模一样
4y5yl5qy
 
Start Smart: Learning the Ropes of AI for HR - Celine Maasland - SocialHRCamp...
Start Smart: Learning the Ropes of AI for HR - Celine Maasland - SocialHRCamp...Start Smart: Learning the Ropes of AI for HR - Celine Maasland - SocialHRCamp...
Start Smart: Learning the Ropes of AI for HR - Celine Maasland - SocialHRCamp...
SocialHRCamp
 
Rally Webinar Recruitment Marketing for High Volume Hiring.pdf
Rally Webinar Recruitment Marketing for High Volume Hiring.pdfRally Webinar Recruitment Marketing for High Volume Hiring.pdf
Rally Webinar Recruitment Marketing for High Volume Hiring.pdf
Rally Recruitment Marketing
 
Your Guide To Finding The Perfect Part-Time Job
Your Guide To Finding The Perfect Part-Time JobYour Guide To Finding The Perfect Part-Time Job
Your Guide To Finding The Perfect Part-Time Job
SnapJob
 
The Rules Do Apply: Navigating HR Compliance
The Rules Do Apply: Navigating HR ComplianceThe Rules Do Apply: Navigating HR Compliance
The Rules Do Apply: Navigating HR Compliance
Aggregage
 
How to Leverage AI to Boost Employee Wellness - Lydia Di Francesco - SocialHR...
How to Leverage AI to Boost Employee Wellness - Lydia Di Francesco - SocialHR...How to Leverage AI to Boost Employee Wellness - Lydia Di Francesco - SocialHR...
How to Leverage AI to Boost Employee Wellness - Lydia Di Francesco - SocialHR...
SocialHRCamp
 
1比1仿制(csun毕业证书)加州州立大学北岭分校毕业证硕士文凭原版一模一样
1比1仿制(csun毕业证书)加州州立大学北岭分校毕业证硕士文凭原版一模一样1比1仿制(csun毕业证书)加州州立大学北岭分校毕业证硕士文凭原版一模一样
1比1仿制(csun毕业证书)加州州立大学北岭分校毕业证硕士文凭原版一模一样
4y5yl5qy
 
哪里购买伯明翰大学毕业证(uob毕业证)学位证书原版一模一样
哪里购买伯明翰大学毕业证(uob毕业证)学位证书原版一模一样哪里购买伯明翰大学毕业证(uob毕业证)学位证书原版一模一样
哪里购买伯明翰大学毕业证(uob毕业证)学位证书原版一模一样
mesfe
 
Accelerating AI Integration with Collaborative Learning - Kinga Petrovai - So...
Accelerating AI Integration with Collaborative Learning - Kinga Petrovai - So...Accelerating AI Integration with Collaborative Learning - Kinga Petrovai - So...
Accelerating AI Integration with Collaborative Learning - Kinga Petrovai - So...
SocialHRCamp
 
一模一样(unh毕业证书)美国新罕布什尔大学毕业证学位证书案例原版一模一样
一模一样(unh毕业证书)美国新罕布什尔大学毕业证学位证书案例原版一模一样一模一样(unh毕业证书)美国新罕布什尔大学毕业证学位证书案例原版一模一样
一模一样(unh毕业证书)美国新罕布什尔大学毕业证学位证书案例原版一模一样
6budtn3l
 
AI Considerations in HR Governance - Shahzad Khan - SocialHRCamp Ottawa 2024
AI Considerations in HR Governance - Shahzad Khan - SocialHRCamp Ottawa 2024AI Considerations in HR Governance - Shahzad Khan - SocialHRCamp Ottawa 2024
AI Considerations in HR Governance - Shahzad Khan - SocialHRCamp Ottawa 2024
SocialHRCamp
 
Building Meaningful Talent Communities with AI - Heather Pysklywec - SocialHR...
Building Meaningful Talent Communities with AI - Heather Pysklywec - SocialHR...Building Meaningful Talent Communities with AI - Heather Pysklywec - SocialHR...
Building Meaningful Talent Communities with AI - Heather Pysklywec - SocialHR...
SocialHRCamp
 
Becoming Relentlessly Human-Centred in an AI World - Erin Patchell - SocialHR...
Becoming Relentlessly Human-Centred in an AI World - Erin Patchell - SocialHR...Becoming Relentlessly Human-Centred in an AI World - Erin Patchell - SocialHR...
Becoming Relentlessly Human-Centred in an AI World - Erin Patchell - SocialHR...
SocialHRCamp
 

Recently uploaded (13)

原版定制(ucdavis毕业证书)加州大学戴维斯分校毕业证学位证书电子版原版一模一样
原版定制(ucdavis毕业证书)加州大学戴维斯分校毕业证学位证书电子版原版一模一样原版定制(ucdavis毕业证书)加州大学戴维斯分校毕业证学位证书电子版原版一模一样
原版定制(ucdavis毕业证书)加州大学戴维斯分校毕业证学位证书电子版原版一模一样
 
Start Smart: Learning the Ropes of AI for HR - Celine Maasland - SocialHRCamp...
Start Smart: Learning the Ropes of AI for HR - Celine Maasland - SocialHRCamp...Start Smart: Learning the Ropes of AI for HR - Celine Maasland - SocialHRCamp...
Start Smart: Learning the Ropes of AI for HR - Celine Maasland - SocialHRCamp...
 
Rally Webinar Recruitment Marketing for High Volume Hiring.pdf
Rally Webinar Recruitment Marketing for High Volume Hiring.pdfRally Webinar Recruitment Marketing for High Volume Hiring.pdf
Rally Webinar Recruitment Marketing for High Volume Hiring.pdf
 
Your Guide To Finding The Perfect Part-Time Job
Your Guide To Finding The Perfect Part-Time JobYour Guide To Finding The Perfect Part-Time Job
Your Guide To Finding The Perfect Part-Time Job
 
The Rules Do Apply: Navigating HR Compliance
The Rules Do Apply: Navigating HR ComplianceThe Rules Do Apply: Navigating HR Compliance
The Rules Do Apply: Navigating HR Compliance
 
How to Leverage AI to Boost Employee Wellness - Lydia Di Francesco - SocialHR...
How to Leverage AI to Boost Employee Wellness - Lydia Di Francesco - SocialHR...How to Leverage AI to Boost Employee Wellness - Lydia Di Francesco - SocialHR...
How to Leverage AI to Boost Employee Wellness - Lydia Di Francesco - SocialHR...
 
1比1仿制(csun毕业证书)加州州立大学北岭分校毕业证硕士文凭原版一模一样
1比1仿制(csun毕业证书)加州州立大学北岭分校毕业证硕士文凭原版一模一样1比1仿制(csun毕业证书)加州州立大学北岭分校毕业证硕士文凭原版一模一样
1比1仿制(csun毕业证书)加州州立大学北岭分校毕业证硕士文凭原版一模一样
 
哪里购买伯明翰大学毕业证(uob毕业证)学位证书原版一模一样
哪里购买伯明翰大学毕业证(uob毕业证)学位证书原版一模一样哪里购买伯明翰大学毕业证(uob毕业证)学位证书原版一模一样
哪里购买伯明翰大学毕业证(uob毕业证)学位证书原版一模一样
 
Accelerating AI Integration with Collaborative Learning - Kinga Petrovai - So...
Accelerating AI Integration with Collaborative Learning - Kinga Petrovai - So...Accelerating AI Integration with Collaborative Learning - Kinga Petrovai - So...
Accelerating AI Integration with Collaborative Learning - Kinga Petrovai - So...
 
一模一样(unh毕业证书)美国新罕布什尔大学毕业证学位证书案例原版一模一样
一模一样(unh毕业证书)美国新罕布什尔大学毕业证学位证书案例原版一模一样一模一样(unh毕业证书)美国新罕布什尔大学毕业证学位证书案例原版一模一样
一模一样(unh毕业证书)美国新罕布什尔大学毕业证学位证书案例原版一模一样
 
AI Considerations in HR Governance - Shahzad Khan - SocialHRCamp Ottawa 2024
AI Considerations in HR Governance - Shahzad Khan - SocialHRCamp Ottawa 2024AI Considerations in HR Governance - Shahzad Khan - SocialHRCamp Ottawa 2024
AI Considerations in HR Governance - Shahzad Khan - SocialHRCamp Ottawa 2024
 
Building Meaningful Talent Communities with AI - Heather Pysklywec - SocialHR...
Building Meaningful Talent Communities with AI - Heather Pysklywec - SocialHR...Building Meaningful Talent Communities with AI - Heather Pysklywec - SocialHR...
Building Meaningful Talent Communities with AI - Heather Pysklywec - SocialHR...
 
Becoming Relentlessly Human-Centred in an AI World - Erin Patchell - SocialHR...
Becoming Relentlessly Human-Centred in an AI World - Erin Patchell - SocialHR...Becoming Relentlessly Human-Centred in an AI World - Erin Patchell - SocialHR...
Becoming Relentlessly Human-Centred in an AI World - Erin Patchell - SocialHR...
 

1.4 Pre-requisits for using data in emergency services

  • 1. Pre-requisits for using data in emergency services Egil Bovim, Heraklion 27th July 2016
  • 2. Given • Data: Information which is presented electronically • Useful: Use of data in emergency services is something we should encourage
  • 3. Dangerous words • Pre-requisit: “Sine qua non” (or almost) • Big data: We want relevant, not ”big” data • Real time: Does not mean the same to an engineer as it means to me, cost issue! • User friendliness: Intuitive (to me) will do!
  • 4. Relevant data • Only data which is needed • All data which is needed • Varies along the chain • Irrelevant data is potentially lethal noise.
  • 5. Correct data • Data from the correct source • Updated data 5
  • 6. Accuracy of data • To be decided by operational needs – Position – Body temperature – Resource needs
  • 7. Artificial intelligence • Input from operational institutions • Input from academia • Input from ”technical guys” • Realisation of challenges, pitfalls and opportunities 7
  • 8. Conclusion • Operational people need to be clear on what is needed • Technical people/ academia need to be clear on what is possible • The dialogue is never-ending – Home Office experience on TETRA 8