Artificial Intelligence in Banking

Articles about how banks can use artificial intelligence, applications for AI in banking, advanced data analytics, automation and machine learning.

How could Google’s latest update to its algorithm impact banks and their websites? Here’s a crash course on its “helpful content” update.

ChatGPT, the artificial intelligence chatbot, impressed us in a discussion about its abilities and its perspectives on the future of banking.

The regional bank is using a test-and-learn approach with its new digital assistant, which has already improved contact center efficiency.

Technology tools like crowdsourced innovation ideas and artificial intelligence create opportunities to push bank service to the next level.

Community financial institutions share artificial intelligence tactics that help them optimize their sales and marketing efforts.

Despite emphasis on data and the deployment of many artificial intelligence solutions, banking is far from achieving the full benefits of AI.

The competitive pressure for banks to increase use of AI is running smack into growing pushback over model bias. 'Explainable AI' can help.

More nuanced now, thanks to AI advances, chatbots increasingly work in concert with humans to serve customers and even train employees.

Relying too much on chatbots for online conversations frustrates customers. A hybrid approach integrates AI technology with human input.

Many banking technologies leverage artificial intelligence and machine learning, but not knowing what's inside the black box can be risky.

Chatbots can reduce bank call center workloads, but wrong ideas about the typical makeup of call and chat traffic leads to poor results.

Cardholders want timely insights into their spending habits. Unclear and misleading data gets in the way. Here's how to overcome that.

Tapping AI's banking potential has barely begun, but its impact on CX, operational efficiencies, and lending will be profound.

Personalization of banking services isn't a one-time event. It's a continuous process that only AI can deliver consistently.

A modern AI-supported loan platform can help community banks be competitive and grow, but requires care in deciding which features to use.

The payments battle grows hotter as it ranges from mobile technology to digital currency to invisible payments via the internet of things.

The 'Great Resignation' is an ongoing challenge. Here's how banks and credit unions can insulate their call centers from the staff shortfall.

Financial institutions are scrambling to jump on the artificial intelligence bandwagon. But before you leap, get your data in order.

'We need to do AI' is not a plan. Artificial intelligence can be critical to solving banking challenges, but they must be clear first.

With the future still undefined, banks need to rethink business models and be prepared for a permanent hybrid work environment.

Embedded banking and IoT is leading to a 'Thing Economy' where smart devices autonomously transact and engage in commerce.

Their emphasis can be grouped into three broad trends: Using data to know customers, humanizing marketing and optimizing with analytics.