Knowledge Graphs.

The path to unlock new insights from your data

Why do Knowledge Graphs matter?

1
Without context, AI applications may never reach their full potential as reliable solutions to address complex business needs.
2
In order to stay competitive in the current knowledge economy, it is crucial to manage knowledge efficiently.
3
Major institutions are commonly faced with thousands of isolated “data silos”, hence facing an information overload challenge.
“Traditionally, data integration processes are difficult and expensive due to heavy dependence on relational systems, which are inherently slow in change adaptation. With Knowledge Graphs, complex business analytics can be accelerated and data integration can be simplified with increased agility and cost efficiency.”
Janvier Jessurun

Janvier Jessurun - Senior Manager Financial Risk

Are you ready to become a knowledge-driven organization?

Do you aim to derive context-relevant knowledge from your large amounts of data?

Are you looking for insightful patterns in your interconnected data?


Have you already bridged your diverse data silos?

Thinking fast and slow

Knowledge Graphs enable machines to incorporate human expertise

Use cases

Are you ready to lead responsibly in the (Generative) AI revolution?

Get in Touch

Do you want to enable machines to incorporate human expertise to make meaningful decisions and bring context to AI applications?

Dr. Ali Khalili
Senior Manager Risk Advisory
alkhalili@deloitte.nl
+31650074011

Janvier Jessurun
Senior Manager Risk Advisory
jjessurun@deloitte.nl
+31683339436

Dr. Evert Haasdijk
Senior Manager Financial Advisory
ehaasdijk@deloitte.nl
+31622423598

Dr. Marion Robin
Senior Manager Consulting
mrobin@deloitte.nl
+31882882239

Marko van Zwam
Partner Risk Advisory
mvanzwam@deloitte.nl
+31621272904