HOW THE BMW GROUP VISUALIZES AND INTERACTS WITH …...Data API Cloud connectors … NLP R/Py/Scala...
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Caroline Persson HOW THE BMW GROUP VISUALIZES AND INTERACTS WITH EXTREME DATASETS WITH NEAR ZERO LATENCY. GTC 2019 - SAN JOSÉ, CA
Transcript of HOW THE BMW GROUP VISUALIZES AND INTERACTS WITH …...Data API Cloud connectors … NLP R/Py/Scala...
Caroline Persson
HOW THE BMW GROUP VISUALIZES AND INTERACTS WITH EXTREME DATASETS WITH NEAR ZERO LATENCY.
GTC 2019 - SAN JOSÉ, CA
GTC San José | 2019 Page 2
INTRODUCTION
Caroline [email protected]
Data Scientist
Geospatial Analytics
Mobility Patterns
Visualizations
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OUR AGENDA FOR TODAY.
Intro: Data Science at the BMW Group
Data Source: The Potential of Connected Vehicles
Use case: Automated Parking and OmniSci
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THE BMW GROUP IN NUMBERS (2018).
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129,932 employees worldwide
2,490,664 sold automobiles worldwide
98.7 Billions EUROS revenue worldwide
30production locations worldwide
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DATA LAKE: BREAKING UP DATA SILOS ACROSS THE COMPANY.
CUSTOMER
VEHICLE
DEVELOPMENT
PRODUCTION AND
LOGISTICS
OTHERS
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Data egress
Analytics
Machine
Learning
Distributed ML
Deep Learning
Log Analytics
Process Mining
Real-time
Recurring batch
Data API
Cloud connectors
…
NLP
R/Py/Scala
Data engines
NoSQL
SQL
Semantic
Search
Traditional
RDBMs
In-memory
Data ingest
Text
IoT Sensor
Audio
Real-time(e.g. Kafka)
Vision
Operational
Recurring
batch(e.g. Talend)
200 node cluster and NVIDIA DGX-Farm (V100)OpenShift (Kubernetes)
IaaS, PaaS, etc.
On-premise
Off-premise
AI Service
Categories
Geo-spatial
Analytics
Natural
Language
Processing
Operational and
IoT Sensor Data
Processing
Computer
Vision
Data lake
Distributed
File System(HDFS)
Other
persistence
layers
“Open
source
first”
“Getting
rid of
silos”
“Real-time
and batch
workloads”
ANALYTICS STACK.TRADITIONAL HADOOP PLATFORM + NICHE PROCESSING.
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Use cases: Automated Parking and OmniSci
OUR AGENDA FOR TODAY.
Intro: Data Science at the BMW Group
Data Source: Connected Vehicle Data
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CONNECTIVITY. 12 MioConnected Drive Cars
46Connected Drive
Markets
0
10000
20000
30000
40000
50000
60000
GB
ConnectedDrive Data Source Example
“Connected car”
describes a car equipped with communication
technology that allows for the direct flow of data
to and from the car, without the need for a mobile
device
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MONITORING AMOUNT OF DATA IS NOT ENOUGH
How is our road coverage over longer time?
Why do we see unexpected patterns in data volume?
How is our data geographically distributed?
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Connected Vehicles: The Potential of Connected Vehicles
OUR AGENDA FOR TODAY.
Intro: Data Science at the BMW Group
Use cases: Automated Parking and OmniSci
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Data
Use Case
Digital ServicesAftersalesProductionVehicle Development
Realtime Failure
Detection in Assembly
BUSINESS PROCESSES USING ADVANCED ANALYTICS AND MACHINE LEARNING
Predictive
Maintenance
Location-based
ServicesTraceNet
Images, Order Data ECU / Vehicle DataGeo/Location-Data,
Fleet-DataVehicle Trace Data
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DEMO: PRODUCT STRATEGY FOR AUTOMATED VALET PARKING
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GTC 2018
