Banks and credit unions must integrate machine learning into their digital marketing strategies, but where and how should they get started?
Artificial Intelligence in Banking
Articles about how banks can use artificial intelligence, applications for AI in banking, advanced data analytics, automation and machine learning.
IBM research explores the immense yet balanced potential of generative AI across innovating customer value, optimizing operations, and managing risks.
Popular Articles within Artificial Intelligence in Banking:
With computers using the power of AI to build and refine mathematical models on their own, financial institutions must manage new risks.
The success of any AI initiative hinges on the data collected — from channel usage and geolocational data, to consumer beliefs and behaviors.
New digital technologies like AI, IOT, Blockchain and APIs allow financial institutions to build a customer-centric 'bank of the future'.
Leveraging data is the key to driving growth, but financial institutions need to cultivate new analytics capabilities first.
Going beyond a rules-based voice or chatbot solution, USAA partners with Clinc and their artificial intelligence voice-first platform.
With the adoption of artificial intelligence and automated chatbots skyrocketing, banks and credit unions must get on top of this trend.
Consumers are wary of fintech innovations like chatbots and robo-advisors. Education and security are key to increasing adoption.
SoFi, one of the fastest growing fintech challenger banks, is expanding into checking accounts and wealth management services.
Combine artificial intelligence (AI) with big data, advanced analytics and digital technology to deliver an enhanced banking customer experience.
Banks and credit unions can mirror the success of Netflix by utilizing data analytics to create powerful cross-selling engines.
Artificial intelligence and machine learning are reshaping banking, including the ways in which financial institutions manage their marketing materials.
Services that scale with you.
As the financial landscape continues to evolve, check out these four anticipated financial marketing trends to focus on for maximizing ROI in 2024.
The concept of real-time, personalized service in banking will take a quantum leap forward with the integration of AI-powered chatbots.
Here are the initial steps your financial institution needs to take to implement an artificial intelligence strategy that ensures future success.
Predictive analytics combined with advanced digital delivery options can offer consumers financial solutions at the exact time of need.
Lemonade is an insurtech player that is positioned to disrupt the insurance industry using digital technology and machine learning.
Banks and credit unions that don't embrace artificial intelligence and invest in the power of advanced data analytics are doomed
Combining the power of artificial intelligence and social messaging, chatbots yield increased engagement with decreased costs.
AI can improve personalization and identify patterns in ways that humans can't, then answer questions about banking issues in real-time.
Does data analytics and automation threaten marketers' future job security? Do mathematical algorithms trump human judgment in the Digital Age?
Invisible banking is part of a broader connected way of life, where voice and advanced analytics power digital personal assistants.
Improvement in technology and the increasing acceptance of voice as a digital tool is opening doors for new banking applications.
Learn how institutions around the country are saying goodbye to phantom growth with a new approach that creates real growth that lasts. Download eBook.
Explore the transformative role of AI in the financial sector, uncovering insights on security, efficiency, and innovation for a future-proof financial landscape.