Technology & Data

Systems and technology offer immense potential to the development of the fund management industry and the possibility of rapid evolution in how fund groups operate. Here we explore some of the latest ideas and industry developments in technology, including current and future technology applications and new innovations being explored and trialled.

Why fund operators need to back test more frequently

Matthew Stiling, Senior Operational Due Diligence Analyst, Investcorp-Tages, discusses best practices for fair valuations, proprietary models, and enhancing data int...

Private Credit Outlook: Insights on Scalability, Technology, and Outsourcing

Piyush Singhi, Senior Managing Director at IVP Credit and Private Funds, and Obinna Nwankwo, Managing...

EU signs off on “AI Act” - what does it mean?

The European Union has given the go-ahead for ground-breaking Artificial Intelligence legislation; but what does this mean for the investment operations space?

Empowering your data platform with a security master

Investment managers that are forced to prioritise decisions between the front- and back-office often focus on the income-generating potential of the front office. Bu...

How do you responsibly incorporate ESG into an investment strategy?

Rodrigo Dupleich, Managing Director - Head of Systematic Strategies at UBS Asset Management, discusse...

Four burdens in dealing with tax regulations and how financial institutions can ease them

Taxation rules and regulations are constantly evolving and creating new reporting standards, necessitating greater re...

Crypto Reconciliation: Navigating challenges and solutions in blockchain accounting

Tom Wheatley, COO at Watson Wheatley, shares insights on efficiently reconciling crypto data, adapting systems, manag...

The role of AI and natural language programs for fund operators

Three industry experts look at what artificial intelligence (AI) is offering and what operational pro...

Why avoiding ESG data silos is difficult

Industry figures discussed ESG data issues around regulatory compliance, balancing consistency with efficiency, and the never-ending problem of silos.
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