Peio Popov

Biography

I have spent all my career at the intersection of tech, law and finance. Started at IBM as Contracts and Negotiations, I moved forward to be part of the development of a system for a mobile payment system at SEP Bulgaria. I was in charge of regulatory compliance and contracting with banks, utility companies, and merchants. I also helped develop the PKI service and register the company as a provider of qualified electronic signature services.

At Ontotext I started as a Legal Advisor and moved forward to take over the Business Operations in the USA. At present, I lead the Financial Services and Media and Publishing verticals at the company where my focus is on the use-cases and capabilities, enabling better data and content management.

Talks and Events

2023 Talk: The Fellowship of the Graph

The maturing of the knowledge graph use cases leads to the sophistication of the requirements. Despite vendor promises, a single product can rarely cover all capabilities for all knowledge graph applications. In this presentation, we will discuss our experience in implementing production systems using integrated partner technologies and collaborating with service providers. The talk will provide an overview of knowledge graph applications and their necessary capabilities, supported by case studies demonstrating effective combinations of technology and skills. Along with the more technical discussion, we will introduce the principles of complementarity, predictability, transparency and integrity, which underline our partnering relationships.

Track: General

2022 Talk: Leverage External Ontologies And Data To Bootstrap A Financial Knowledge Graph

One of the most popular applications of GraphDB is as a data hub for entities and securities. However, crafting an ontology from scratch and putting together all the relevant data is often a massive hurdle for pilot projects of this type. One accelerator that we propose as a start is to manage your key data elements by creating a semantic fabric integrating your data with external models and signals into a knowledge graph. This presentation will demonstrate how to use GraphDB in order to leverage existing ontology models (FIBO) and reference (GLEIF) and transaction data (NASDAQ) to bootstrap a knowledge graph for use-cases in: Investment banking and asset management Risk and Compliance Entity intelligence We will conclude with a recap of the capabilities of GraphDB, which make it the best engine to implement such an application. We will also elaborate on why LPG-based engines are a misfit for it.