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:

Top 3 Most Funded AI Startups in Insurance – An Overview

Top 3 Most Funded AI Companies in Insurance – An Overview

Several key insurance carriers began to experiment with AI in the last decade, including Progressive, All-State, and State Farm. Although not as large as the banking and retail industries, the AI vendor landscape in insurance is growing.

Natural Language Processing in Retail - Current Applications

Natural Language Processing in Retail – Current Applications

The retail and eCommerce sectors were among the first to adopt natural language processing (NLP) in the enterprise, particularly by way of chatbots and conversational interfaces. In this article, we cover three ways retailers can use NLP to automate business processes and offer the customer a better experience. We also give examples of AI vendors that offer this technology and describe their products. The NLP capabilities we discuss include:

AI in Mental Health and Well-being - Current Applications and Trends

AI in Mental Health and Well-being – Current Applications and Trends

There are numerous AI initiatives in progress across the healthcare industry; some of these are for mental health and well-being. In this article, we offer an overview of how AI is facilitating mental healthcare.

NLP Use-Cases Primer

Natural Language Processing Use-Cases Primer – Chatbots, Search, Voice, and More

Emerj Technical Advisor, German Sanchis Trilles, PhD, defines natural language processing as:
“...everything which is related to human language. If you have a system that needs to recognize what a human wrote, that’s NLP. If you have a system that tries to understand what a human said with his voice or with her voice, that’s NLP as well. If you want a system to speak and to do some speech synthesis, that’s NLP as well.

Conversational Interfaces as Weapons of Mass Engagement - 6 Banking Use-Cases

Conversational Interfaces as Weapons of Mass Engagement – 6 Banking Use-Cases

The thoughts and opinions expressed by the author of this piece and the interviewee, Maruf Hossain, are entirely their own and do not reflect the opinions, views, or stances of the companies at which they work.

Artificial Intelligence at HSBC - Internal Products and Investments

Artificial Intelligence at HSBC – 2 Use-Cases

HSBC Holdings is a multinational banking and financial services holding company and is ranked 99th on the Fortune 500 list. The bank has worked with multiple AI vendors and provided evidence of success that other top banks lack. According to our AI Opportunity Landscape research on how the top global banks are using AI, besides Deutsche Bank, HSBC is the European bank with the most AI initiatives. HSBC's AI initiatives account for 12.5% of the AI initiatives at the European banks in our analysis. 

AI Startups for Auto Lending - 2 Well-funded Examples

AI Startups in Auto Lending – 2 Well-Funded Examples

The auto-lending industry stands to benefit from artificial intelligence in much the same way as insurance companies, particularly when it comes to underwriting and risk management. According to Deloitte, nearly $500 billion in new loans and leases are originated annually, and 86% of new car purchases rely on borrowed money. In this article, we discuss how AI startups aim to facilitate different processes within the auto-lending industry, looking to two well-funded startups as examples of what's possible in the space:

Artificial Intelligence in Policing

Artificial Intelligence in Policing – Use-Cases, Ethical Concerns, and Trends

In July of 2018, Daniel Faggella spoke at the Interpol--United Nations (UNICRI) Global Meeting on the Opportunities and Risks of Artificial Intelligence and Robotics for Law Enforcement. It was the very first event on the usage of AI in policing, security and law enforcement by the UN and INTERPOL.