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Small big data congress sneak preview
- 1. Small Big Data Congress sneak preview Big Data Expo, 19-9-2018
- 2. 8 pitches, 3 minutes each • Dori van Hulst (Pipple) – inspiration from Pippi! • Hjalmar van der Schaaf (HeadOn) – data in supply chains • Bram van der Waaij (TNO) – reproducibility, testability, traceability • Sylvie Verbunt (QuantBase) – fast analysis and visualisation • Ron Snijders (TNO) – data quality assurance • Peter van Everdingen (PLDN) – linked data • Erik Kentie (SURFSara) – sharing data • Maarten Kruithof (TNO) – discriminatory bias
- 4. Solving complex problems with mathematics and creativity Data science with purpose Big on EQ and IQ! We predict, we optimize, we innovate!
- 5. Hjalmar van der Schaaf
- 6. makes supply chains efficient.
- 8. ? ? ?
- 9. blockchain solutions for the supply chain
- 10. Sender 1. Create trusted tradelane 2. info in blockchain 3. Tag shipment PACK Receiver 1. Scan tag 2. Verify and validate 3. Accept SCAN & ACCEPT SHIP PAYMENT INFO
- 11. Our value add Proof of origin Proof of delivery Payment on delivery + easier compliance & stakeholder management
- 12. 80% more efficiency in your supply chain source: 2018 ING, ABN AMRO soy in a blockchain up to
- 13. Hjalmar van der Schaaf CEO serial entrepreneur background in innovation, IT and business. Roel Crooijmans COO/CFO serial entrepreneur background in innovation, logistics and business. Tom Stallinga CCO entrepreneur background in logistics and SCM. Rogier Bosch CTO serial entrepreneur background in IT & software Calvin, Erik, Jessie, Ritika, Dylan, Pardes, Amy, Yoeran, Jonathan, Agie, Ruben, Jessie.
- 16. Want to know how can make your supply chain more efficient?
- 17. Hjalmar van der Schaaf +31 6 21523527 hjalmar@cargoledger.nl
- 18. Bram van der Waaij
- 19. Societal trust in bigdata forces Accountability TESTABLEEXPLAINABLE Contact: bram.vanderwaaij@tno.nl CI / CD for model testing Tracing data and models REPRODUCIBLE Scenario platforms
- 20. Sylvie Verbunt
- 22. Ron Snijders
- 23. Being Trustworthy needs Continuous Attention Contact: ron.snijders@tno.nl Complex Model ChainData Behavior over Time Data Quality Assurance Contract Requirements Indicators: Trends: ! … Horizontal Scaling:
- 25. PITCH - Platform linked data Nederland Pieter van everdingen (PLDN) Small Big Data Congres - 19 september 2018 #LinkedDataNL
- 26. Platform Linked Data Nederland (PLDN) Doe met ons mee Als deelnemer/trekker • Evenementen • Werkgroepen • Publicaties Als sponsor • Gold sponsor • Silver sponsor • Bronze sponsor In de stuurgroep Contact Pieter van Everdingen/ Hans van Bragt platformlinkeddatanl@gmail.com Website www.platformlinkeddata.nl LinkedIn-group LOD Nederland www.linkedin.com/groups/466278 Twitter @linkeddatanl hashtag #linkeddatanl Nieuwsbrief www.pldn.nl/wiki/Nieuwsbrieven
- 27. Erik Kentie
- 28. Surf leden: Universiteiten HBO’s UMC’s (Kennis) instellingen Start-Ups, Incubators Data hubs Economic Boards R&D – afdelingen (EU)-Projecten Promotie onderzoek Branche Organisaties Voorbeelden : • Seed Valley (research data) • Green Village (streaming data, IOT) Data delen tussen bedrijven en onderzoeksinstellingen erik.kentie@surfsara.nl Stand 1 Federated Identity & Access management Supercomputer Cartesius Fast Network Storage Research Cloud Innovation Lab • Veilig data delen (Auth) • Technologie (Apache/Kafka) • Rekenkracht • Visualisatie en analyse (Jupyter) • Governance/Policies • Rollen (Datakeeper) • FAIR dataAvies voor bedrijven Innovatieve ICT + pilot
- 29. Maarten Kruithof
- 30. BIAS IN MACHINE LEARNING DATASETS Dr. ir. M.C. Kruithof
- 31. DISCRIMINATORY BIAS Bias in Machine Learning Datasets
- 33. FAIRTEST VISUALISATION Bias in Machine Learning Datasets https://github.com/columbia/fairtest
- 34. WHAT CAN WE DO Bias in Machine Learning Datasets RepresentationData Learn Protected Attribute Predict Information
- 35. Thank you!
Editor's Notes
- So we make logistics more efficient.
- My first job was at the Deloitte Consulting. I was busy digitising shipping documents. We were a team including our CTO of 100 all working from behind on of those liver colored desktops. This was way, way back in the past century. Paper is still a huge challenge in nowadays logistics. Paper adds complexity Paper gets lost. Paper also provides trust. Paper based trust is expensive and a lot of work. Trust can be organized in a different manner.
- This is where CargoLedger comes in. When shipping Cargo you want to know 3 things What do I ship the goods? Where is my paperwork? When will we get my money? And on money, the sooner, the better.
- How does CargoLedger make this easier? We deliver blockchain solutions for the supply chain.
- How does that work? All relevant information in a blockchain. Deleting data is impossible Sharing is easy; info is validated across the supply chain. Changes are transparent. A tradelane is created A QR code generated. The information is forwarded. The cargo is shipped. The receiver scans the QR code. And if all is ok then the sender is paid.
- Our added value Proof of origin. Validated information. Proof of delivery. Validated actions. Payment on delivery. on the roadmap. Easier compliance + Easier Stakeholder management. With validated information and actors.
- The blockchain provides the trust. And up to 80% more efficiency in your supply chain.
- This is our team. 80+ years in logistics and more.
- We have working system so no block talk. So we know where block chain can add value. We are installing this system @customers.
- We are in the midst of product validation. We have contracts with Van Oord, the Port of Rotterdam, Vopak and TieKinetix. We want to get to a product market fit in Q4. And we are looking for the right investor.
- So if you want to know what CargoLedger can do for you supply chain? The come talk to me.
- Thank you.
- Praatplaat voor de pitch (ongeveer 300 woorden)