UBS Helix Knowledge Graph was created to unify and streamline the information about our technical estate to maximize the impact of our technology spend :
Break the silos of our applications
Reduce redundancies and duplications in the structure and vocabulary of our applications
Enable a 360o view of technical assets.
Reduce complexity and eradicate undocumented data definitions
Make it easier to rapidly answer questions about our technical estate
Helix provides Business, IT Managers and every single user of data, the power of knowledge by answering questions common not only in a financial institution but in every organization that has an IT Department:
How many application do I have?
What infrastructure do they leverage?
Where do I have Technical Debt and how can I reduce it;
Where do I invest my money?
What does an application cost me?
For which business capability am I spending the most dollars/have the most opportunity for consolidation?
Where am I spending too much money on applications I should be decommissioning?
What data do each of my system has and how does it flow?
Helix is based on open and standard technologies and model-driven architecture.
Provides an open framework for data publishers to integrate with Helix and also unlimited possibilities for users to create their own search for information in an intuitive and web-like manner.
No more spreadsheets, no more predefined APIs and reports that need programmatical effort.
UBS Helix Knowledge Graph is the new generation and the technical landscape is only the beginning.
About This Speaker
Natasa Varytimou works in UBS as a Data Architect for the Helix Knowledge Graph. She is highly experienced in utilizing Semantic Technologies to create innovative data and model-driven architectures focusing lately on the Financial sector
Natasa is highly experienced on Data Platforms, Data Modeling, Data Governance, Data Lineage, Data Quality (SHACL) and Data Transformation using semantic metadata, knowledge engineering and Linked Data techniques.
Before coming to UBS she was an Information Architect in Refinitiv focusing on metadata management, data modeling and data quality rules using mostly semantic and linked data technologies.
She has worked for many years in TopQuadrant as a Semantic Solutions Architect designing and implementing projects in Finance but also in other industry sectors including Life Sciences, Oil & Gas and Consumer Goods, Asset Management etc..
Lastly, she has worked as Linked Data Architect in Brussels and was involved in the EU ISA (Interoperability Solution of the Member States) Core Vocabularies.
In general she always favors and promotes the use of open standards and therefore participates in many working groups (W3C Market Data Licence/ SHACL /SPARQL, Enterprise Knowledge Foundation, FIBO etc)
23 апр 2024
