Refinitiv Perspectives Artificial Intelligence

AI & Machine Learning

Applying causal inference to machine learning problems

Jun 15, 2020 • Hanna H. • Hossein A.

AI & Machine Learning

Using spatial finance for sustainable development

Jun 10, 2020 • Christophe C.

FinTech

Fintech in 2020 and beyond: 5 big questions

Jan 10, 2020 • Refinitiv

AI & Machine Learning

Bias in AI: Scary monster or tamable beast?

Dec 16, 2019 • Debra W.

AI & Machine Learning

Harnessing data in the search for alpha

Nov 26, 2019 • Refinitiv

AI & Machine Learning

Using AI in financial services — the Twitter view

Nov 1, 2019 • Refinitiv

Future of Investing & Trading

Refinitiv Labs: Shaping the future of finance

Oct 15, 2019 • Sanjna P.

#SmarterTrading

A vision of the trading desk in 2024

Oct 4, 2019 • Michael C.

Generating Insights From Data

Can media sentiment help investing strategy?

Oct 3, 2019 • Richard P.

Evolving Trading Workflows

Trading technologies for today’s workflows

Sep 23, 2019 • Phil D.

Digitalization of Wealth Management

The evolution of financial markets in Japan

Aug 7, 2019 • David R.

AI & Machine Learning

Finding machine learning ready data

Jul 19, 2019 • Joe R.

Corporate Treasury

The next generation of treasury management

May 21, 2019 • Raj M.

Digitalization of Wealth Management

Exploring AI trends in wealth management

May 16, 2019 • Patrick D.

Managing & Integrating Data

How to compete for data science talent

May 9, 2019 • Tim B.

AI & Machine Learning

The forces driving machine learning adoption

May 1, 2019 • Geoff H.

KYC

Innovation for today’s KYC challenges

Apr 29, 2019 • Charles M.

AI & Machine Learning

The machine learning trends transforming finance

Apr 17, 2019 • Tim B.