Speakers: Jussi Vira, CEO, Turku City Data Tuomas Piippo, CTO, Turku City Data

1. Empowering
cities with AI
and knowledge
graphs

2. About Turku
City Data
• The company is owned by the
City of Turku and has been
operative since 1.10.2019
• We offer the n-bridges platform
service that automates the entire
data value chain from connecting
fragmented data sets to solving
real-world problems using AI
• Currently our customers are
mainly cities and city-owned
companies

3. Our focus area
A long tail of non-mission
critical supporting systems
Mission critical systems
enabling core processes
• ENTERPRISE LEVEL
• EFFICIENCY AS THE MAIN
GOAL
• LARGE GLOBAL VENDORS
• FUNCTION SPECIFIC
• USED TO PERFORM SPECIFIC TASKS
• A SMALL NUMBER OF SPECIALIZED
VENDORS
BUSINESSCRITICALITY
PROCESS SCOPE
WELL-UNDERSTOOD
PROCESSES AND DATA
OFTEN UNDOCUMENTED PROCESSES AND
INCOMPLETE DATA

4. • Smart City Knowledge Graph
• Event stream processing
• AI services
• Simple easy-to-use APIs
Key features of the n-bridges platform
STATIC
DYNAMIC
DATA AI

5. Streets
Addresses
+ Building
Sensor data
+ Citizen feedback data
Real-time sensor data
+ Weather, traffic and
public amenities data
Route planning
Address
validation
Smart buildings
Automatic pre-school
placement
+
Delivery route optimization
Customer feedback analytics
Maintenance operations
optimization
+
NEW USE CASES AND
VALUE OF DATA ASSETS
REUSABLE GRAPH
PARTS AND
FUNCTIONALITY
Composable application development

6. TECHNOLOGY AND DESIGN PRINCIPLES

7. IT’S ALL CONNECTED

8. STREETS
BUILDINGS
MODELED AS COMPOSABLE
AND REUSABLE GRAPH PARTS
MANAGED DEPENDENCIES
A GRAPH PART REFLECTS A SINGLE
SMART CITY ASPECT.

9. STATIC AND DYNAMIC DATA, AND AI CAPABILITIES
STATIC DATA
PEOPLE, OBJECTS, LOCATIONS
EVENTS
DYNAMIC
DATA
CONTEXTUALIZED
AI SERVICES
REFERENCES
DEPENCENCIES
GENERIC AI
FRAMEWORKS
DATA
ENRICHMENT

10. EXAMPLE: DELIVERY ROUTE OPTIMIZATION
DELIVERY FLEET
DELIVERY
ORDERS
APPLICATION-SPECIFIC
CONSTRAINTS
CONSTRAINT SOLVING
STREET
NETWORK
ADDRESSES
DEPOT
DISTANCES BETWEEN
STREET NETWORK
LOCATIONS
DATA
ENRICHMENT

11. DESIGN GUIDELINES
INCREMENTAL DESIGN,
DRIVEN BY USE-CASES
BOTTOM-UP RATHER THAN TOP-DOWN
UNDERSTANDABLE,
MEANINGFUL AND
COHERENT

12. GREAT FIT FOR THE LABELED PROPERTY GRAPH MODEL
INCREMENTAL DESIGN,
DRIVEN BY USE-CASES
BOTTOM-UP RATHER THAN TOP-DOWN
UNDERSTANDABLE,
MEANINGFUL AND
COHERENT
EXTENDABLE, BOTH FROM DESIGN
AND PERFORMANCE VIEWPOINTS
EMPHASIS ON REAL-WORLD THINGS
(AND THEIR RELATIONSHIPS) RATHER THAN
ABSTRACTIONS OR CLASSES
INSTEAD OF STARTING FROM ONTOLOGIES OR CLASS HIERARCHIES,
START FROM ENTITIES GROUPED WITH LABELS AS NEEDED

13. TECHNICAL ARCHITECTURE

14. STATIC
DYNAMIC
DATA AI CAPABILITIES

15. AI SERVICES
CUSTOM
PROCEDURES
SERVER
EXTENSION
CUSTOM
PROCEDURE
CYPHER
LOGIC FOR
CURATING A
SINGLE
GRAPH PART
STORED
EVENTS
CYPHER
APIs
STREAM
PROCESSING
LOGIC

16. AI SERVICES
CUSTOM
PROCEDURES
SERVER
EXTENSION
CUSTOM
PROCEDURE
CYPHER
LOGIC FOR
CURATING A
SINGLE
GRAPH PART
STORED
EVENTS
CYPHER
STREAM
PROCESSING
LOGIC
ORCHESTRATED BY
CYPHER
ACCESS
EXTERNALLY
STORED
EVENTS
ACCESS EXTERNAL AI SERVICES
AND GRAPH ALGORITHMS
ACCESS GRAPH
CONTENTS
APIs

17. CUSTOM
PROCEDURES
SERVER
EXTENSION
CUSTOM
PROCEDURE
CYPHER
LOGIC FOR
CURATING A
SINGLE
GRAPH PART
STORED
EVENTS
CYPHER
STREAM
PROCESSING
LOGIC
EXTENDABLE IN
SEVERAL WAYS
GREAT DECLARATIVE
QUERY LANGUAGE
APOC AND GRAPH DATA
SCIENCE LIBRARIES

19. MODELED AS LABELED
PROPERTY GRAPH
IMPLEMENTED IN NEO4J
API
MADE ACTIONABLE
THROUGH APIs
AI
#smartcityknowledgegraph

20. Develops solutions for economically,
socially and ecologically sustainable use
of city data
100% owned by the city of Turku
Jussi Vira
jussi.vira@turkucitydata.fi
+358 50 486 7895
Tuomas Piippo
tuomas.piippo@turkucitydata.fi
+358 40 770 7247