AI Articles and Analysis in Finance

This article is based on a presentation originally given by Daniel Faggella, CEO & Founder at Emerj (formerly TechEmergence) to a group of real estate executives at a Grupo4s "Future of Real Estate" event in San Francisco, in March of 2018.

Deloitte, EY, PricewaterhouseCoopers (PwC) and KPMG are among the largest service providers in the accounting industry— collectively referred to as the Big Four. Many of the financial and consulting services offered by these firms - such as advising on investment decisions - involve finding patterns in very large sets of data. This data is often beyond the understanding of a single person (or team of persons) and is often “noisy” and without a set format.

There is a consensus among industry experts (both from our own insurance AI secondary research, and according to a 2017 Accenture survey report) that AI is going to be a key driver in making insurance products "smarter" in the coming 2-3 years.

The following brand partnership article was written by BIS Research analyst Rahul Papney, and edited by Raghav Bharadwaj of Emerj. For information about our advertising and publishing arrangements with brands, please visit our partnerships page.

Professor Jonathan Tapson is Director of the MARCS Institute for Brain, Behavior & Development at Western Sydney University in Australia. He holds a PhD in Engineering from the University of Cape Town in South Africa. Professor Tapson's recent research has recently lead him to apply neural networks to problems in finance. See our partnership and thought leadership publishing options on our Emerj partnerships page.

Though in its nascency, the Indian banking sector is beginning to adopt artificial intelligence (AI). While large commercial and investment banks globally are incorporating AI and blockchain for both back-office and customer-facing purposes, in India, widespread adoption of these technologies has not yet come to fruition. 

Lending is a massive business in the United States which directly and indirectly touches almost all parts of the economy. With tens of millions of Americans holding loans worth trillions of dollars, any technology that can make even a small improvement in a company’s returns on the loans they hold, or that can improve their share of the market, would be worth a significant amount of money.

The insurance industry is a competitive sector representing an estimated $507 billion or 2.7 percent of the US Gross Domestic Product. As customers become increasingly selective about tailoring their insurance purchases to their unique needs, leading insurers are exploring how machine learning (ML) can improve business operations and customer satisfaction.