ROBERT ENGELS - sirius-labs.no · CAPGEMINI NORGE Department for Data Science and...
Transcript of ROBERT ENGELS - sirius-labs.no · CAPGEMINI NORGE Department for Data Science and...
ROBERT ENGELS
2Insights & Data | September 2018 © 2018 Capgemini. All rights reserved.
Insights & Data Global Business Line
Insights & Data Services
Canada
United States
Mexico
Argentina
Brazil
China
India
Saudi Arabia
Australia
South Africa
UK
Continental Europe
Morocco
More than 16,000 people across 40 countries 11,000 people in India
Headcount assigned to main geographies
NA WE RoW
Personnel onshore: 1.650 3.000 820
Personnel offshore: 5.850 4.700 680
Total assigned to Geo: 7.500 7.700 1.500
Sector Portfolio
View by Industry25%
19%15%
12% 12%7% 6% 5%
BCM MALS CPRDT PS INS EUC TME GS
Capability View
31 %
15 %
14 % 15 %
11 %
6 %
2 %1 %
Technology/Core Platform Specialist
AI Engineers
Cloud Data Professsional
Data Science & Analytics Professionals
Process Specialist
Business/Industry Consultants
Solution architects
Cyber & GDPR Specialist
Design Specialist
5%
CAPGEMINI NORGEDepartment for Data Science and Artificial Intelligence
EDUCATION
PhD MSc Other
EXPERTISENLP & SEMANTICS
ADV. ANALYSE
VIDEO/AUDIO ANALYSIS
PLANNING & OPT.
GENERAL ML
GENDER
MALE FEMALE
31 ML&AI experts (Norway)(44+ MU Scandinavia)
4Insights & Data | September 2018 © 2018 Capgemini. All rights reserved.
Groups at the Artificial Intelligence Department
Time-seriesPlanning
AdvancedAnalytics
& Geospatial AI
CognitiveProcessing
AI sensing
5Insights & Data | September 2018 © 2018 Capgemini. All rights reserved.
• Chat bots• Call center automation
• Paperwork automation• Gamification of employee
training etc
• Fraud detection• Monitoring
• Network security
• Augment human capabilities
• Scoring models• Increase effectiness
• Increase quality
• Improve trading decisions• Increase knowledge
decisions are based upon(/w knowledge graphs, semantics and reasoning)
• Bionic advice• Portofolio mgmt
• Financial productadvisory
• Definition new products
Source: N-iX, 2019
6Insights & Data | September 2018 © 2018 Capgemini. All rights reserved. Source: N-iX, 2019
7Insights & Data | September 2018 © 2018 Capgemini. All rights reserved. Source: N-iX, 2019
8Insights & Data | September 2018 © 2018 Capgemini. All rights reserved.
Issues working with customers on «semantics»
• Ontology• Development• Quality
‒ Inconsistencies‒ Inference of new «facts»
§ Alignment (with existing Tboxes)§ Completeness of ontology (really covering what it should cover?)• Approach of Obiedkov etal interesting (extention of PAC learning with oracle querying)
9Insights & Data | September 2018 © 2018 Capgemini. All rights reserved.
10Insights & Data | September 2018 © 2018 Capgemini. All rights reserved.
Issues for our customers
• Instance similarity or «same-ness»• Ontology Based Data Access (OBDA)• Data Virtualization Layer
• Data Cleansing (cleaning & repair)• Contraint checking on lifted semantic data sets (example Mercedes Unfallforschung) • In combination with LOD?
• Domain modeling of constraints and implications <- using them in distributed systems (!)• RDF/RDFS/OWL + reasoning = partial solution
11Insights & Data | September 2018 © 2018 Capgemini. All rights reserved.
Issues for our customers
• Ontology Based Data Access (OBDA)• Data Virtualization Layer
12Insights & Data | September 2018 © 2018 Capgemini. All rights reserved.
Issues for our customers
• Data Cleansing (cleaning & repair)• Contraint checking on lifted semantic data sets (example Mercedes Unfallforschung) • In combination with LOD?
13Insights & Data | September 2018 © 2018 Capgemini. All rights reserved.
Issues for our customers
• Domain modeling of constraints and implications <- using them in distributed systems (!)• RDF/RDFS/OWL + reasoning = partial solution
14Insights & Data | September 2018 © 2018 Capgemini. All rights reserved.
Customer problem
Estimate validity of customer requests wrt law
Tasks1. Model laws for domain
1. https://lovdata.no2. Model contraints & implications
2. Model objects1. Ships/vessels: various features like length, crew size, engine, area of application etc
3. Run/deduce what parts of law apply to a specific vessel1. Geographic contraints2. Contraints on equipment3. Constraints on application area4. Tests to be made5. Proofs to be delivered
15Insights & Data Playbook V 1.0 © 2018 Capgemini. All rights reserved.
Data as an Asset – fase 1
NameOwnerDescriptionRightsVersionPublish date
NameOwnerDescriptionRightsVersionPublish date
NameOwnerDescriptionRightsVersionPublish date
RDFify
RD
Fify
RDFify
SPA
RQ
L-API
Application1
Applicationx
Applicationn
16Insights & Data Playbook V 1.0 © 2018 Capgemini. All rights reserved.
Data as an Asset - fase 2
NameOwnerDescriptionRightsVersionPublish date
NameOwnerDescriptionRightsVersionPublish date
NameOwnerDescriptionRightsVersionPublish date
RDFify
RD
Fify
RDFify
SPA
RQ
L-API
Application1
Applicationx
Applicationn
Lifte
dDat
a M
odel
LiftedData M
odel
17Insights & Data Playbook V 1.0 © 2018 Capgemini. All rights reserved.
Data as an Asset - fase 3
NameOwnerDescriptionRightsVersionPublish date
NameOwnerDescriptionRightsVersionPublish date
NameOwnerDescriptionRightsVersionPublish date
RDFify
RD
Fify
RDFify
SPA
RQ
L-API
Application1
Applicationx
Applicationn
Lifte
dDat
a M
odel
LiftedData M
odel
18Insights & Data | September 2018 © 2018 Capgemini. All rights reserved.
We have a unique take on creating business impact with insights
VisionApplied Insights and AI are the key drivers of success in the digital era
MissionWe partner with our clients to create and deliver exactly the capabilities & solutions that they need to thrive on data
PromiseWe deliver real business outcomes, covering end-to-end at scale, harnessing ethics & trust
Dr. Robert HP EngelsHead of Data Science & Artificial IntelligenceOslo, Norway
Phone: +47 99 54 44 81E-Mail: [email protected]