My blogs

About me

Introduction	Mark Bjerknes is interested in: Technology in financial services and capital markets; IT governance; capital market structure and regulation; centralized trading systems; high performance transaction processing; high frequency and algorithmic trading; complex event processing; compliance and surveillance technology; computer performance and capacity; data architecture and governance; enterprise IP management and patent portfolio development; exploratory data analysis; data mining; business intelligence analytics; data visualization; identity and network resolution.
Interests	Technology in financial services and capital markets, IT governance, capital market structure and regulation, centralized trading systems, high performance transaction processing, complex event processing, compliance and surveillance technology, computer performance and capacity, data architecture and governance, enterprise IP management and patent portfolio development, exploratory data analysis, data mining, business intelligence analytics, data visualization, identity and network resolution.

Introduction

Mark Bjerknes is interested in: Technology in financial services and capital markets; IT governance; capital market structure and regulation; centralized trading systems; high performance transaction processing; high frequency and algorithmic trading; complex event processing; compliance and surveillance technology; computer performance and capacity; data architecture and governance; enterprise IP management and patent portfolio development; exploratory data analysis; data mining; business intelligence analytics; data visualization; identity and network resolution.

Interests

Technology in financial services and capital markets, IT governance, capital market structure and regulation, centralized trading systems, high performance transaction processing, complex event processing, compliance and surveillance technology, computer performance and capacity, data architecture and governance, enterprise IP management and patent portfolio development, exploratory data analysis, data mining, business intelligence analytics, data visualization, identity and network resolution.