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.

Artificial Intelligence for Credit Cards - Current Applications

Artificial Intelligence for Credit Card Companies – Current Applications

Credit card companies could make use of AI applications across multiple business areas. AI-based fraud detection is among the most widely discussed AI applications in the financial sector, and it seems to work for credit cards similarly to how it works for banks. Additionally, credit card companies and financial institutions could use AI software to improve customer service and develop customer-targeted marketing campaigns.

Artificial Intelligence in Retail Banking - Current Applications

Artificial Intelligence in Retail Banking – Current Applications

Many business processes in retail banking are ripe for automation with AI. All types of banks may appreciate the use-case of payment processing automation and fraud detection, but retail banks may also benefit from automated credit scoring and customer service chatbots.

AI Search Applications in Finance - Insights from Customer Interactions

AI Search Applications in the Financial Sector – Insights from Customers Interactions

The financial sector has been an early adopter of AI. It is likely that the use of algorithms in trading and the fact that most large financial firms already have teams of software developers aided the transition into data science and AI applications in the industry.

AI for Attracting Millennial Insurance Customers - What's Possible

AI for Attracting Millennial Insurance Customers – What’s Possible

Machine learning has far-ranging applications in the finance space broadly from document digitization to document search, chatbots to fraud detection. The insurance space in particular, however, stands to benefit from AI and machine learning applications in a few unique ways. They could help insurance firms with a challenge that’s at the forefront of the insurance world: attracting and meeting the needs of millennial customers.

How Natural Language Processing Will Impact Brick-and-Mortar Banking

How Natural Language Processing Could Impact Brick-and-Mortar Banking

In recent years, there seems to be a sense of urgency for banks to go digital and expand into new communication channels. In ten years time, physical brick and mortar banking might not be the preference of the majority of customers. To attract younger millennial customers, banks seem to be realizing the need to understand their preferences and interact with them in the way they want to be communicated with.

Natural Language Processing for Insurance Customer Insights

Natural Language Processing for Insurance Customer Insights

Along with the rise in popularity of chatbots and simple conversational interfaces, there is growing interest around other natural language processing (NLP) capabilities in the banking, finance, and insurance industries.

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.

Customer service

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