PanOptes is a monitoring solution that uses machine learning and collective intelligence to sort through public information and provide relevant insights about clients. It automatically classifies news articles and recommends readings based on users' actions. The solution draws on diverse internal expertise and uses technologies like Elastic Search, Event Store, and Neo4j to analyze and store data semantically. PanOptes started as an intrapreneurship initiative and grew as an internal startup by collaboratively defining users' needs and validating value.

1. Making the most of public information on our clients
Gautier SARTORIUS / 2018 March 6th
www.ca-cib.com

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Crédit Agricole CIB, a 3D client focus organisation

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“90% of the data in the
world today has been created
in the last two years alone”
(source : IBM)
“19.8% of business time
1 day per week is wasted by
employees searching for
information”(source: Cotrillresearch)
Data exploitation relies
on new solutions to sort
information and
collective intelligence
What happens in an Internet Minute

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For banks, information is a vital asset
Identify
commercial
opportunity
Conduct risk
analysis
Analyze
environment

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PanOptes, a monitoring of public information solution
PanOptes is a monitoring of public information Solution.
With the solution, the user can quickly consult the most relevant news:
 Articles are automatically classified by identifying companies, topics, subjects,
opinion, sentiments, languages, content geographies…
 The knowledge database is enriching from the users actions and it will allow to
improve the reading recommendation.
Capitalization on COLLECTIVE INTELLIGENCE
On a CLIENT
And tomorrow,
on a TOPICS,
on a SECTOR,
on PEOPLE
(without client filter)

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Provide Clients’ insights
Provide Clients’
insights through
access to 360° real
time data from
external sources
thanks to machine
learning and
collective intelligence
Intrapreunarship
initiative supported
by IDEA, imagined
and created by
Gautier Sartorius
GMD securitisation
I get
market
insights
I identify a
business
opportunity
Will be a
transversal
solution to sort
relevant
information
about our
clients and our
sectors
I read
relevant
news

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PanOptes is an intrapreneurship story
Growing as an internal start-up :
 It was a bottom-up initiative that came
from informal exchanges between
Business and IT
 PanOptes had no sponsor and no
mandated team at first
 The app was developed with no budget
and on creator’s free time at first
Listening and matching users’ needs :
 Individuals from different product lines
voluntarily helped define product
 A design thinking workshop was
organized to refine customer needs
understanding
Origination teams’ needs
fostered the idea for PanOptes
An idea was developed during an hackhathon
Collaborative inputs from
GMD, CIN and RPC users
Support of Idea to prepare first
fundraising
Audit of the Village
to validate value
AN INTERNAL START-UP MAKING USERS’ NEEDS THE PRIORITY

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DATA
ACQUISITION
DATA STORAGE SMART DATA
ENGINE
GUI
DEVELOPMENT
Draws strength from the diversity of expertise
Data
Internal
expertises

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A Graph Architecture to more Performance, Flexibility
& Request efficiency
SEMANTIC ANALYSIS
RECOMMENDATION
Machine
learning
…
Internal dev.
EXPERT SYSTEM
…
…
Internal dev.
Pauline
Sales person
Teddy
“early
detector”
Alix
Editorialist
Machine
learning
Elastic Search
SMART DATA
----
Event Store

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Build suggestion tool for users,
drawing benefits of clustering
from Neo4j data
Share easily this auto
descriptive database
especially with Data Scientists
Add/import easily new
elements direct from Excel file
Insert heterogeneous data and
describe links among them
Modify easily the database structure
and refactor when required
Neo4j database offers an efficient storage

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Contact :
gautier.sartorius@ca-cib.com