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Data & The City - Leon Gommans - KLM

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Data & The City
Big Data, Open Data, Deep Data,
Data Analytics, Business Intelligence, Dashboards, Monitors

8:30-18:00 uur
maandag 3 oktober 2016
Raadzaal Stadhuis Amstel 1 Amsterdam

#amsboda1 #data #bigdata #opendata #deepdata
@AmsTechCity (Twitter Instagram Facebook)
Amsterdam Tech City (YouTube MeetUp)

PROGRAMMA
08:30 – 09:00 inloop & inschrijving
09:00 – 09:15 Gemeente Amsterdam opening Nuray Gokalp
09:15 – 09:30 Gemeente Amsterdam DataLab Berent Daan
09:30 – 09:45 Gemeente Amsterdam CTO Office Tamas Erkelens
09:45 – 10:00 Gemeente Amsterdam Bedrijfsvoering AMI Lieke van Bers
10:00 – 10:15 Gemeente Amsterdam Ruimte OOV Eric Aart & Kees Rooij
10:15 – 10:30 Gemeente Amsterdam Sociaal GGD Thijs Houtenbos

10:30 – 11:00 pauze
11:00 – 11:15 Gemeente Amsterdam Dienstverlening Mellijn Hartman
11:15 – 11:30 Gemeente Amsterdam Veranderkunde Ingmar Kappers
11:30 – 11:45 Brandweer Amsterdam Amstelland Guido Legemaate
11:45 – 12:00 Vital 10 Roderick
12:00 – 12:15 ADS + UvA + KPMG Sander Klous
12:15 – 12:30 Scyfer Jorgen Sandig

12:30 – 13:30 lunch
13:30 – 13:45 Omnichannel.store Roger Olivieira
13:45 – 14:00 IceMobile Floor Wijnen + Guido Jetten
14:00 – 14:15 Xomnia Martijn Imrich
14:15 – 14:30 Ynformed Martijn Minderhoud
14:30 – 14:45 Open State Foundation Tom Kunzler
14:45 – 15:00 Teamily Maarten Lens-Fitzgerald

15:00 – 15:30 pauze
15:30 – 15:45 ADS + UvA + FD + MIcompany Martin Heijnsbroek
15:45 – 16:00 KLM Leon Gommans
16:00 – 16:15 ING Jos Schenning
16:15 – 16:30 GoDataDriven Rob Dielemans
16:30 – 16:45 Teradata Natalino Busa
16:45 – 17:00 Dell EMC Kenny Pool
17:00 – 17:15 VR Base Launch Daan Kip
17:15 – 18:00 borrel

WAT?
Big Data, Open Data, Deep Data, Data Analytics technologie voor lokale overheid onderzoeken. 
Samen met nationale en internationale experts de mogelijkheden en onmogelijkheden verkennen voor de Gemeente Amsterdam.

HOE?
Koppelen van maatschappelijke vraagstukken en oplossingen. Vraagstukken worden gepresenteerd door ambtenaren van de Gemeente Amsterdam. Oplossingen worden gepresenteerd door experts van andere overheidsinstellingen, kennisinstellingen, stichtingen, bedrijfsleven, grote bedrijven, MKB, startups, scaleups en freelancers. Presentaties zijn blokken van 15 minuten, waarvan 10 minuten presenteren aan publiek en 5 minuten interactieve vraag & antwoord.

WIE?
• Ambtenaren van de gemeente Amsterdam en overheidsinstellingen
• Experts op het gebied van big data, open data, deep data, analytics…
• Kennisinstellingen (universiteiten, hogescholen, etc.)
• Stichtingen, NGO’s
• Bedrijfsleven
• Startups & Scaleups
• Freelancers
(50% overheid + 50% “rest”)

CONTACT
Nuray Gokalp
Mobiel +31(0)6-46068985
Email n.gokalp@amsterdam.nl
Twitter & Instagram @NurayG
LinkedIn NurayGokalp
Skype Nuray.Gokalp

Published in: Technology
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Data & The City - Leon Gommans - KLM

  1. 1. Dr. ing. Leon Gommans Science Officer Air France KLM IT Technology Office - R&D Guest researcher UvA/SNE Value of Future Internet capabilities: Multi-domain Big Data Sharing Models Big Data Cafe Amsterdam City Hall Oct 3rd 2016
  2. 2. Contexts with potential value to share data2 Predictive Maintenance & Scheduling Passenger flow handling Cargo load optimization & scheduling Passenger experience
  3. 3. Sharing Big Data in a collaborative group of enterprises?3
  4. 4. Sharing Big Data assets needs:4 Clearly defined and agreed common benefit Established common rules governing use, acces and benefit sharing. Organizing trust amongst group members as means to reduce risk Infrastructure supporting implementation of trust
  5. 5. IT Level Enabling Trusted Access and Use Business Level Governing common value and risk Organizing Trust within a group*5 Rulemaking Judicial body Executive Group Rules Infrastructure EnforcementAdministration • See Chapter 5 PhD Thesis: “Multidomain Authorization for e-Infrastructures”, Leon Gommans – Dec. 2014h
  6. 6. IT Level Enabling Trusted Access and Use Research questions6 Infrastructure EnforcementAdministration 1. Given an agreed benefit to share data within a group of autonomous organisations: How can trusted sharing of big data assets be securely implemented in an infrastructure? 2. Given future, software definable Internet capabilities provides virtually unlimited amounts of dedicated and secure bandwidth: What infrastructure models are best suited to perform big data analyses?
  7. 7. Domain D Domain CDomain BDomain A Traditional Multi-domain Model7 Analyses
  8. 8. Domain CDomain BDomain A Multi-domain in public cloud8 Analyses Corporate Directive
  9. 9. Domain CDomain BDomain A Encrypted data in public cloud9 Analyses
  10. 10. Domain D Domain CDomain BDomain A Analyses on spokes, consolidate at hub10 Ana- lyses Ana- lyses Ana- lyses Analyses
  11. 11. Domain D Domain CDomain BDomain A “Turntable model*”, reporting result to hub11 Ana- lyses Ana- lyses Ana- lyses Ana- lyses Demo at Supercomputing 2005: Seamless Live Migration of Virtual Machines over the MAN/WAN Franco Travostino, Paul Daspit, Leon Gommans, Chetan Jog, Cees de Laat, Joe Mambretti, Inder Monga, Bas van Oudenaarde, Satish Raghunath, Phil Wang - FGCS Oct 2006 pg 901-907.
  12. 12. Domain D Domain CDomain BDomain A Sharing using “unlimited” bandwidth.12 Analyses E.g. a 100 Gb/s link is potentially 20x faster when compared with a local hard disk.
  13. 13. Domain D Domain CDomain BDomain A Hub sharing group member data13 Ana- lyses
  14. 14. Domain D Domain CDomain BDomain A Hub sharing group metadata with peering14 Ana- lyses
  15. 15. Domain D Domain CDomain BDomain A Securing data access & value exchange15 Ana- lyses blockchain $
  16. 16. NSF Pacific Research Platform: researching Big Data Sharing infrastructures using 100 Gb/s 16 ExoGENI Testbed
  17. 17. Questions17 SARNET project – Secure Autonomous Response NETworks SARNET Alliance project: Understanding the creation of an alliance sharing Big Data Assets in cybersecurity context. SARNET partners Providing future Internet connectivity with research partners. Cees de Laat, Tom van Engers, Ameneh Deljoo, Ralph Koning, Stojan Trajanovski (UvA). Robert Meijer, Frank Fransen (TNO) Rodney Wilson, Marc Lyonais (Ciena) Erik Huizer, Gerben van Malenstijn (SURFnet) Larry Smarr, Tom Defanti (UCSD / PRP project). Email: leon.gommans-at-klm.com

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