AI Sector Overviews Articles and Reports

Artificial intelligence “sector overview” reports are designed to help business leaders explore the possibilities and important AI trends across industries. Search our sector overview reports below:

Artificial Intelligence at Barclays - Current Initiatives

Artificial Intelligence at Barclays – Current Initiatives

Barclays is a UK bank ranked 20th on S&P Global’s list of the top 100 banks. Like other top banks, Barclays has forayed into AI for a variety of use-cases. The bank seems to work with AI vendors more than it builds AI applications in-house, which aligns with the general trend of AI adoption in financial services: 68% of the AI products we researched as part of our AI Opportunity Landscape research in financial services were bought from vendors.

Artificial Intelligence at UBS - Current Applications and Initiatives

Artificial Intelligence at UBS – Current Applications and Initiatives

UBS is a Swiss multinational investment banking and financial services company ranked 30th on S&P Global’s list of the top 100 banks. In addition to investment banking and wealth management, the company is looking to improve its tech stack through several AI projects.

Artificial Intelligence at Morgan Stanley - Current Initiatives

Artificial Intelligence at Morgan Stanley – Current Initiatives

Morgan Stanley is a US financial institution known mostly for its financial advisory services. According to our AI Opportunity Landscape research in financial services, approximately 10% of AI vendor products in the industry are wealth management solutions, and 4% are asset management solutions.

Artificial Intelligence at Progressive - Snapshot and Flo Chatbot

Artificial Intelligence at Progressive – Snapshot and Flo Chatbot

Progressive is one of the largest auto insurers in the US. The company has been experimenting with AI since the middle of the 2010s, with customer-facing applications that update insurance premiums based on driving habits and answer questions in a chat window. In this article, we discuss both of these AI use-cases. More specifically:

Artificial Intelligence at Goldman Sachs - Current Initiatives

Artificial Intelligence at Goldman Sachs – Current Initiatives

The top 100 global banks, including Goldman Sachs, are beginning to take AI strategies very seriously.

Machine Vision in Retail - Current Use-Cases and Applications

Machine Vision in Retail – Current Use-Cases and Applications

The retail industry collects massive amounts of data every day, and this makes its key processes ripe for automation with machine learning. Along with the manufacturing sector, the retail industry likely stands to benefit the most from one particular AI technique in the next few years: machine vision, also known as computer vision.

5 Ways Banking Chatbots Improve Customer Experience

5 Ways Banking Chatbots Could Improve the Customer Experience

In banking and finance, chatbots have the potential to improve the customer experience by allowing customers to check their account balances, transfer money, learn about interest rates, change their billing addresses, and more.

Artificial Intelligence for Digitizing Claims Processing - A Brief Overview

Artificial Intelligence for Digitizing Claims Processing – A Brief Overview

Many large insurers are finding ways to digitize parts of their business process in preparation for future projects involving machine learning. This is especially true in claims processing, which could become faster and less error-prone if claims adjusters did not have to search through large amounts of data or paper documents manually.