27:44
"When Things Speak, Are We Ready to Listen? Data, Homes, Cities, & IoT" Alexandra Deschamps-Sonsino
Data Natives
13:04
"Quantum Clustering - Physics Inspired Clustering Algorithm", Sigalit Bechler
20:17
"The Art of Data Maturity Modeling at Metro Group", Klaas Bollhoefer
20:07
"Semantic Similarity & Taxonomic Distance:.." Andrew Clegg
17:12
"Cybersecurity - Current Landscape and Future Challenges", Anish Mohammed
30:18
"The Data Janitor 101", Daniel Molnar
31:53
"Empower Developers with HPE Machine Learning and Augmented Intelligence", Dr. Abdourahmane Faye
30:52
Fireside Chat: Data and Migration
23:16
"The Cognitive Hospital, Going from Paperless to Keyboard less Environments", Bart de Witte
19:29
"Detection and Validation of Higher Order Patterns in Multi-Dimensional..", Dr. Kai Gansel
17:39
"Brain + Data: How Neuroscience Can Increase Data Mining Effectiveness", Dr. Jonathan T. Mall
17:44
"Smart Data Based Lending: How and What?", Patrick Koeck
22:18
"Databases - The Choice is Yours", Philipp Krenn
20:56
"Visualising and Communicating High Dimensional Data", Stefan Kuehn
16:30
"Is Data Science Inhibiting Product Evolution?", Steven Lemm
15:30
"Data, Data, Data, Metadata - DNA of Data Architecture", Dirk Lerner
17:27
"Data Science in Early Stage Startups: the Struggle to Create Value", Martin Loetzsch
11:09
"Deep Learning in Real Estate", Emilio Matthaei
27:10
Panel: How to Build a Data-Driven Business
37:49
Panel: The Future of AI and Universal Basic Income
35:13
Panel: Big Data in FinTech
14:42
"Emotional Reactions Predict sharing - a study of Facebook Media Pages", William Pritchard
18:09
"What we learned from 5 years of building a data science software.." Dr. Dennis Proppe
25:20
"Real-Time Anomaly Detection on Time-Series IoT Sensor Data Using Deep Learning", Romeo Kienzler
22:01
"Smart Data Web: Connecting data and extracting knowledge", Prof. Dr. Hans Uszkoreit
19:36
Startup Battle
20:18
"Source Code Abstracts Classification Using CNN", Vadim Markovtsev
23:38
"Semantic Folding: A new, brain-inspired model for Big Data Semantics ", Francisco Webber
20:47
"Industrializing Machine Learning – How to Integrate ML in Existing Businesses", Erik Schmiegelow
LIVE
[Private video]
18:57
"Data Pipelines for Small, Messy and Tedious Data", Vladislav Supalov
15:27
"Einstürzenden Neudaten: Building an Analytics Engine from Scratch", Tobias Johansson
19:05
"Machine Learning and Internet of Things, the future of medical prevention", Pierre Gutierrez
22:57
"Awesomeness of Container Orchestras - Data Crunching in a Company Builder", Martin Held
14:02
"What Does It Take to Become A Data Scientist", Kim Nilsson
18:00
"Data for Everyone: Using Open Data to Unlock Germany's Innovative Potential", Christina Schoenfeld
17:59
"Analysing and Searching Unstructured Medical Data", Allan Hanbury
20:23
"Data-Driven Healthcare", Alejandro (Alex) Jaimes
22:54
"Storytelling with Data: How to humanize and visualize your numbers", Alana Range
2:21
Data Native Berlin, Oct 26-28 2016
