AI Articles and Analysis in Finance

Explore articles and analysis related to artificial intelligence in finance, including coverage of banking, insurance, fintech, and more.

The Chatbot Landscape – 20 Chatbot Applications Across Industry Sectors

The Chatbot Landscape – 20 Chatbot Applications Across Industries

Chatbots are one of the most talked-about uses of natural language processing (NLP) software in business. Some of the most common application areas for chatbots include customer service, healthcare, and financial advisory.

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The State of RPA in Banking – With Charts and Graphs

Robotic Process Automation (RPA) is a rule-based software solution that automates repetitive tasks without any self-learning capabilities. It is not inherently artificial intelligence. RPA vendors now offer AI-tools as add-ons to their automation platforms. This includes RPA applications in banking where some form of AI, such as computer vision or natural language processing, is a part of the automation workflow.

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AI for Cybersecurity in Insurance – Current Applications

The insurance industry is responsible for a multitude of sensitive financial data concerning both its customer base and staff. Any breach to an insurance company's CRM or other claims database could compromise the personal data of multiple people at once, which puts the company at risk as well.

AI for Cybersecurity in Banking - Where Banks Are Investing Today

AI for Cybersecurity in Banking – Where Banks Are Investing Today

Hackers are cyberattackers are using more sophisticated methods to break into digital networks; they themselves have also started employing artificial intelligence techniques to bypass detection systems.

AI for Auto Lending - Improving Deal Flow and Risk Reduction with Data

AI for Auto Lending – Improving Deal Flow and Risk Reduction with Data

Ten years into the longest economic expansion on record, auto lenders are looking for ways to leverage new opportunities for growth and risk reduction.

AI and Financial Risk Management - Critical Insights for Banking Leaders

AI and Financial Risk Management – Critical Insights for Banking Leaders

Our research indicates that AI applications for risk-related banking functions are more numerous than applications for other business areas. Fraud and Cybersecurity, Compliance, Loans and Lending, and Risk Management collectively made up 56% of the AI vendor products in the banking industry, as shown in the graph below:

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AI for Compliance in Banking – Where Banks Should Focus Next

In the banking sector, supervisory organizations create and oversee the compliance rules that banks and other financial organizations need to follow. These compliance regulations are important for companies to carefully abide by, since non-compliance can potentially result in large fines or in extreme cases, even loss of banking licenses. 

How Lenders Can Win More Business with Machine Learning

How Lenders Can Win More Business with Machine Learning – with Jay Budzik of Zest AI

We interviewed Jay Budzik, CTO at Zest AI, about the business value of machine learning for auto lending. We speak with Budzik about how underwriting, lending, and credit scoring is evolving as a result of advances in machine learning - both in terms of new data sources, and more advanced algorithms.

Finance

Explore articles and analysis related to artificial intelligence in finance, including coverage of banking, insurance, fintech, and more.