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1 de 11
Privado e Confidencial - Proibido a reprodução
2003 - 2006
Redes Neurais
(Modelagem)
+
Gestão de Crédito Portfólio
de
Soluções
2007 - 2013
Dados Não
Estruturados
Inovação
Lean Start Up
2014 - 2016
Gestão de Risco
+
Nossa história
Privado e Confidencial - Proibido a reprodução
.Matriz- Recife-PE
Nossa Equipe
Comercial - São
Paulo - SP
Seguradoras
Varejo
Outros setores
Bancos e financeira
Alguns Clientes
•
REDUCE RISKS WITH INFORMATION
We use Data Lake concepts, consuming a vast amount
of online data sources to provide data points, reporting
and decision tools to our clients.
INSURANCE
Business Question:
How can we estimate the risk of
robbery and theft ?
CASE INSURANCE
Lean
Startup
Risk of Robbery and
theft
Validated Learning Weekly
feedback on insights
generated and steer analysis
Machine Learning
to identify patterns
Data Visualization to
explore patterns using
geo data.
Information
(ID, Address, Car ID)
RESULT
Medium Risk Area
High Risk Area
Low Risk Area
RETURN OF THE
INVESTIMENT IS 5 TIMES THE
AMOUNT INVESTED
THE ACCURACY is 5 TIMES
HIGHER THAN THE
COMPETITORS
AVERAGE ONLINE RETURN TIME
IS 0.1 SECOND
We use Data Lake concepts, consuming a vast amount of online data sources
to provide data points and find the right contact in 48h.
WE FIND THE PERSON YOU ARE LOOKING FOR
THE ID YOU ARE LOOKING
FOR
NEUROLAKE MACHINE LEARNING TO FIND
PATTERNS
CONTATE
MAIS
BENEFITS
EFFICIENCY REAL RESULTS PRODUCTIVITY
WE DELIVER THE RESULTS
IN 48 HOURS AND THE
COMPETITION DELIVERY
IN 48 DAYS
COST-CUTTING
RESULT
THE ACCURACY is 2
TIMES HIGHER THAN
THE COMPETITORS
WWW.NEUROTECH.COM.BR
/neurotechrecife neurotech
@neurotechbrasil

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CWIN17 Sao Paulo / neurotech-riskpack capgemini

  • 1.
  • 2. Privado e Confidencial - Proibido a reprodução 2003 - 2006 Redes Neurais (Modelagem) + Gestão de Crédito Portfólio de Soluções 2007 - 2013 Dados Não Estruturados Inovação Lean Start Up 2014 - 2016 Gestão de Risco + Nossa história Privado e Confidencial - Proibido a reprodução
  • 4. Seguradoras Varejo Outros setores Bancos e financeira Alguns Clientes
  • 5.
  • 6. • REDUCE RISKS WITH INFORMATION We use Data Lake concepts, consuming a vast amount of online data sources to provide data points, reporting and decision tools to our clients.
  • 7. INSURANCE Business Question: How can we estimate the risk of robbery and theft ? CASE INSURANCE Lean Startup Risk of Robbery and theft Validated Learning Weekly feedback on insights generated and steer analysis Machine Learning to identify patterns Data Visualization to explore patterns using geo data. Information (ID, Address, Car ID)
  • 8. RESULT Medium Risk Area High Risk Area Low Risk Area RETURN OF THE INVESTIMENT IS 5 TIMES THE AMOUNT INVESTED THE ACCURACY is 5 TIMES HIGHER THAN THE COMPETITORS AVERAGE ONLINE RETURN TIME IS 0.1 SECOND
  • 9. We use Data Lake concepts, consuming a vast amount of online data sources to provide data points and find the right contact in 48h. WE FIND THE PERSON YOU ARE LOOKING FOR THE ID YOU ARE LOOKING FOR NEUROLAKE MACHINE LEARNING TO FIND PATTERNS CONTATE MAIS
  • 10. BENEFITS EFFICIENCY REAL RESULTS PRODUCTIVITY WE DELIVER THE RESULTS IN 48 HOURS AND THE COMPETITION DELIVERY IN 48 DAYS COST-CUTTING RESULT THE ACCURACY is 2 TIMES HIGHER THAN THE COMPETITORS