Conferences / data2day
data2day 2019
Oct 22–24, 2019 · Pfalzbau Ludwigshafen, Ludwigshafen am Rhein, Rhineland-Palatinate, Germany
- Conference
- data2day Data science & ML
- Dates
- Oct 22, 2019 – Oct 24, 2019
- Venue
- Pfalzbau Ludwigshafen
- Place
- Ludwigshafen am Rhein, Rhineland-Palatinate, Germany
- Format
- In person
- Status
- Past
- Attendance
- —
- Website
- data2day.de
- Recorded
- 6 sponsors · 60 speaker appearances
- Notes
- Workshop day 22 Oct, conference talks 23-24 Oct. Originally announced for the Print Media Academy in Heidelberg; the venue was moved to the Pfalzbau in nearby Ludwigshafen (location page). Speakers: full programme as published. Prices from the registration page (Wayback, 12 Oct 2019); the early-bird deadline had been 30 Aug 2019 in July and was later shown as 13 Sep 2019.
Ticket prices
| Ticket | Price | Valid until | Notes | Source |
|---|---|---|---|---|
| Conference ticket (early bird) | €795 | Sep 13, 2019 | Net price, excl. 19% VAT. | web.archive.org |
| Combo: conference + workshop (early bird) | €1,245 | Sep 13, 2019 | Net price, excl. 19% VAT. | web.archive.org |
| Workshop only (22 Oct) | €495 | — | Net price, excl. 19% VAT. | web.archive.org |
| Conference ticket (regular) | €945 | — | Net price, excl. 19% VAT. | web.archive.org |
| Combo: conference + workshop (regular) | €1,395 | — | Net price, excl. 19% VAT. | web.archive.org |
Sponsors 6
Gold 2
- HMS Analytical Software · Gold-Sponsoren
- Structr · Gold-Sponsoren
Silver 3
- *um · Silber-Sponsoren
- codecentric · Silber-Sponsoren
- Phytec · Silber-Sponsoren
Bronze 1
- incontext.technology · Bronze-Sponsor
Speakers and talks 60
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Evelina Gabasova | The Alan Turing Institute | Keynote | Keynote: Breaking black-box AI | — |
| Roberto V. Zicari | DBIS, Goethe University Frankfurt | Keynote | Keynote: On the need of an Ethical AI Due Diligence | — |
| Alexander Albrecht | bakdata | Talk | Mining Stream Data mit Apache Kafka | — |
| Axel Morgner | Structr | Workshop | Anwendungsentwicklung mit Graph-Technologie: Von Big Data zu Connected und Smart Data | — |
| Axel Morgner | Structr | Sponsored talk | Von Big Data zu Connected und Smart Data: Wie Graph-Technologie die Anwendungsentwicklung revolutioniert | — |
| Benedikt Munz | MHP – A Porsche Company | Talk | AI im Manufacturing | — |
| Benedikt Schmitz | Vorwerk Services | Talk | Building the Thermomix UsageBox | — |
| Caroline Kleist | mayato | Talk | Data-Science-Projektvorgehen in der Praxis: Agiles Experimentieren und stetiger Fortschritt mit Scrum | — |
| Christian Hidber | bSquare | Talk | Einführung in Reinforcement Learning mit TF-Agents & TensorFlow 2.0 | — |
| Christian Hidber | bSquare | Workshop | Reinforcement Learning: Hands On | — |
| Christian J. Meier | Wissenschaftsautor | Talk | Late Night Talk: Christian J. Meier liest aus seinem Techno-Thriller "K.I.", mit anschließender Diskussionsrunde | — |
| Christian Staudt | Point 8 | Workshop | Machine Learning für die Vorhersage von Zeitreihen | — |
| Christian Winkler | datanizing | Talk | Graph-basierte Identifikation von Communitys | — |
| Daniel Haake | *um | Sponsored talk | Active Learning – Intelligente Parameterauswahl für Hardware-in-the-Loop (HiL) Tests in der Automobilindustrie | — |
| David Hipp | HMS Analytical Software | Talk | Intelligente Datenintegration – ML als Katalysator zur Wertschöpfung aus Daten | — |
| Dr. Nadine Gissibl | MHP – A Porsche Company | Talk | AI im Manufacturing | — |
| Fabian Hueske | Ververica | Talk | Apache Flink: An Introduction and Outlook into the Future | — |
| Fabian Hueske | Ververica | Workshop | Stream Processing with Apache Flink | — |
| Florian Müller | Risk42 | Talk | Real-Time Music Information Retrieval mit TensorFlow 2.0 | — |
| Frank Rosenthal | GfK | Talk | Our story of agile data science delivery | — |
| Henning Esser | Zalando | Talk | ML takes control – Converting Business Rules into Machine Learning Features | — |
| Jacek Haußner | German Management Consulting | Talk | Maschinelles Lernen zur Erkennnung personenbezogener Daten | — |
| Joerg Heidrich | Heise Medien | Talk | Was tun, wenn‘s knallt? Risiken, Meldepflichten und Bußgelder im Rahmen der DSGVO | — |
| Johannes Höhne | MT AG | Talk | Deep Learning mit Keras: Ein Hello World, das es in sich hat | — |
| Johannes Lang | HMS Analytical Software | Sponsored talk | Aktenzeichen XY... gelöst: Nutzung von Text Mining und Machine Learning für die Dokumentablage bei einer Behörde | — |
| Julia Butter | Scout24 | Talk | Der Kulturwandel macht den Unterschied: Vom daten- zum KI-getriebenen Unternehmen | — |
| Kaya Kupferschmidt | dimajix / Freiberufler | Workshop | Machine Learning und Datenanalyse mit PySpark | — |
| Kevin Exel | inovex | Talk | Mit Metadatenmanagement hin zu reproduzierbaren und flexiblen Data-Science-Workflows auf Kubernetes | — |
| Lars George | OpenCore | Talk | Data Governance in einer agilen Welt | — |
| Laura Hoyden | GfK | Talk | Our story of agile data science delivery | — |
| Lukas Reich | Structr | Workshop | Anwendungsentwicklung mit Graph-Technologie: Von Big Data zu Connected und Smart Data | — |
| Manfred Weber | 1&1 Mail & Media Development & Technology | Talk | Event-driven Architectures: Konzepte und Muster | — |
| Markus Enderlein | INFOMOTION | Talk | Data Hub als Basis der analytischen Unternehmenslandschaft | — |
| Markus Schweitzer | John Deere ETIC | Talk | Interdisziplinär, kollaborativ, inklusiv: Erfolgreiche Teams im Smart Farming | — |
| Markward Britsch | HMS Analytical Software | Talk | Operationalisierung in analytischen Projekten meistern: Von der Explorations- zur Produktionsphase | — |
| Martina Fricke | Friedrich-Alexander-University Erlangen-Nürnberg | Talk | Graph-basierte Identifikation von Communitys | — |
| Matthias Haun | Hochschule Offenburg | Talk | Können und müssen wir der KI vertrauen? Implikationen einer ethischen KI | — |
| Matthias Orlowski | areto | Talk | Ethik in der KI-Entwicklung: Ein praktischer Ansatz | — |
| Muhammad Nouman Shahzad | Scout24 | Talk | Data Lake scale SQL with Presto | — |
| Nico Kreiling | inovex | Talk | Entwicklung einer in-house AI-Plattform | — |
| Niklas Melcher | IAV | Talk | Die Nadel im Heuhaufen: 18k signals - an average day of an automotive engineer | — |
| Nils Thoma | German Management Consulting | Talk | Maschinelles Lernen zur Erkennnung personenbezogener Daten | — |
| Nina Schaaf | Fraunhofer IPA | Talk | Explainable AI: Extraktion von Erklärungen aus tiefen neuronalen Netzen | — |
| Olga Mordvinova | incontext.technology | Talk | Datenerkenntnisse erleben durch interaktive Explorationen | — |
| Oliver Zeigermann | embarc | Workshop | Reinforcement Learning: Hands On | — |
| Oliver Zeigermann | embarc | Talk | Einführung in Reinforcement Learning mit TF-Agents & TensorFlow 2.0 | — |
| Oliver Zeigermann | embarc | Talk | Data Science in Football | — |
| Patrick Baier | Zalando | Talk | ML takes control – Converting Business Rules into Machine Learning Features | — |
| Pham Ngoc Thanh Trung | IAV | Talk | PyTorch: From research to production? | — |
| Rolf Schulz | GNSEC Singapore | Talk | IT-Security, der Analyst und seine KI | — |
| Sascha Dittmann | Microsoft | Talk | TensorFlow & Co as a Service | — |
| Sebastian Jäger | inovex | Talk | Mit Metadatenmanagement hin zu reproduzierbaren und flexiblen Data-Science-Workflows auf Kubernetes | — |
| Stefan Kühn | Tom Tailor | Talk | Data Science in Football | — |
| Susanne Braun | Fraunhofer IESE | Talk | Interdisziplinär, kollaborativ, inklusiv: Erfolgreiche Teams im Smart Farming | — |
| Tatiana Borovikov | SAP | Talk | Datenerkenntnisse erleben durch interaktive Explorationen | — |
| Thilo Schneider | Fraport | Talk | Von der Idee zum Produkt – Prognose der erwarteten Ankunftszeit von Flugzeugen | — |
| Thomas Kranzkowski | StackFuel | Workshop | Praktisches Data-Science-Projekt für Einsteiger am Beispiel "Produktempfehlung" | — |
| Timo Walther | Ververica | Talk | Flink SQL in Aktion | — |
| Timo Walther | Ververica | Workshop | Stream Processing with Apache Flink | — |
| Torben Barth | Fraport | Talk | Von der Idee zum Produkt – Prognose der erwarteten Ankunftszeit von Flugzeugen | — |
Sources
- https://web.archive.org/web/20191016194630/https://www.data2day.de/
- https://web.archive.org/web/20191012074624/https://www.data2day.de/programm.php
- https://www.data2day.de/2019/location.html
- https://www.data2day.de/2019/index.html
- https://web.archive.org/web/20191012081131/https://www.data2day.de/jetzt_anmelden.php