Artificial Intelligence, Algorithms, Big Data & The Future of Banking
Futurist Mike Walsh discusses how banking leaders must use data, analytics and tech to change their culture, strategy and business models.
Articles about how banks can use artificial intelligence, applications for AI in banking, advanced data analytics, automation and machine learning.
Financial organizations must address privacy issues with their use of AI — or face legal risks that could undermine the technology's benefits.
Futurist Mike Walsh discusses how banking leaders must use data, analytics and tech to change their culture, strategy and business models.
Machine learning enables banks and credit unions to shift from life-stage segmentation to messaging that targets small clusters of consumers.
The world's most innovative banks leveraged digital technologies and advanced analytics to generate improved CX and stronger brands.
Half-baked thinking wastes financial institutions' money and time and won't produce the benefits that machine learning can produce.
Fast-moving changes impact consumer expectations, competition, business models, the need for digital-ready talent and profitability.
The future of mobile banking competitiveness will not be based on quantity of capabilities, but on the quality of mobile advice.
Financial institutions must decide how to prioritize investments to respond to fast technological and competitive changes in the industry.
The role of banks in the future will be as secure contextual data repositories in an open banking ecosystem.
Artificial intelligence is critical to digital banking transformation, improving innovation and delivering proactive contextual solutions.
Think of artificial intelligence not as your replacement but as a financial marketing assistant that can help bank and credit union brands.
Creating the ultimate customer experience requires that financial institutions build systems to deliver real-time insights.
The use of AI as part of digital transformation in banking will reduce costs, improve the customer experience,and limit risks.
As your financial institution prepares for the impending Great Wealth Transfer, ensuring that your digital strategy appeals to younger generations is essential.
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Mobile banking pioneer's leader says it's time banks bypass AI paranoia and bring consumers the benefits of this technology.
Before dismissing artificial intelligence as out of reach, banks and credit unions should consider collaboration as a way to tap AI's power.
The bank's chatbot, Erica, is growing rapidly, especially since adding proactive insights. But analysts hedge on calling it a win.
The big regional's ambitious journey to incorporate artificial intelligence software offers financial marketers many lessons.
The deployment of digital tools that turn data into proactive consumer insights will determine the fate of retail banks and credit unions.
In the future, artificial intelligence powering people's personal finances could become as commonplace as self-driving autonomous cars.
To tap the exciting potential artificial intelligence affords, financial marketers must learn from the early success of others.
What's next in the future of chatbots? Experts lay out the financial industry's path forward for bot-powered insights delivered via voice or text.
The world's most innovative banks were recognized by Efma and Accenture, highlighting the power of digital technologies and a customer focus.
Banks and credit unions must go beyond ease and simplicity in delivering digital banking services, humanizing the engagement process.
Listen to the brightest minds in the banking and business world and get ready to embrace change, take risks and disrupt yourself and your organization.
Discover how to harness data insights to predict needs, deliver relevant offers, and grow relationships with dynamic personal experiences.
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