AI Articles and Reports about Customer service

Explore articles and reports related to artificial intelligence for customer service, including applications in claims management, email support, intelligent assistants, and more.

Why It's Exceedingly Difficult to Build and Adopt AI in Business

The Challenges of Building and Adopting AI in Business

Episode Summary: A lot of AI in the press is CMOs or marketing people talking about what a company can do in a way that really is aspirational. They're speaking about what they can do, but in reality, the things that they're talking about, the capabilities won't be unlocked for maybe a year or more. These are just things on the technology road map, but people speak about them like they exist now.

Natural Language Processing in Insurance - Current Applications

Natural Language Processing in Insurance – Current Applications

The applications of natural language processing (NLP) have been increasing as more companies find uses for their text data. This includes insurance companies with large stores of data from claims and customer support tickets.

Artificial Intelligence for Investment Research and Trading Insight

Artificial Intelligence for Investment Research and Trading Insight

Banks and investment organizations usually have large research teams that are tasked with investigating and monitoring events that might affect financial trading markets. Investment research is a business function in these firms and is a fundamental part of what is required from analysts, equity managers, investors, and traders.

Facial Recognition in Banking - Current Applications

Facial Recognition in Banking – Current Applications

Facial recognition software is making its way into the mainstream, with consumer applications such as the ability to unlock one’s smartphone with their face. The banking sector has been at the forefront of enterprise adoption of AI since machine learning became the hot topic of the business world in the early years of the decade; as such, it makes sense that facial recognition technology would start to make its way into banking.

An Overview of AI for Wealth Management – What’s Possible Today?

An Overview of AI for Wealth Management – What’s Possible Today?

According to a 2017 report by the Financial Stability Board, artificial intelligence (AI) and machine learning firms managed assets of over $10 billion in 2017, with further growth projected in the next five years. The reasons for this are clear; AI can now present wealth managers with new capabilities to enhance and further personalize their services, at scale.

AI for Customer Service in Banking

AI for Customer Service in Banking – Current Applications

IDC estimated the size of overall AI-related spending in the banking industry in their Worldwide Semiannual Cognitive Artificial Intelligence Systems Spending Guide report at around $3.3 billion in 2018. It follows that AI would find its way into the banking world. We covered the current state of AI banking applications in the US and India in our previous reports, and in this report, we're going to focus on where AI can be leveraged for customer service applications in banking. This report covers vendors offering software across three functions:

Customer service

Explore articles and reports related to artificial intelligence for customer service, including applications in claims management, email support, intelligent assistants, and more.