Six AI and Big Data Trends in Banking for 2022
What financial institutions need to know to create the kind of consumer experience that provides a competitive edge.
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.
What financial institutions need to know to create the kind of consumer experience that provides a competitive edge.
Financial institutions anticipating ongoing disruption will be better prepared for future challenges and competitive opportunities.
The shift to an online landscape revolutionized banking. The industry is evolving how it shares data but consumers aren't prepared.
The promise of artificial intelligence won't be realized if financial institutions don't address issues of data relevance and quality.
Successful digital banking transformation requires prioritizing what is needed today against what's required for the future.
FIS Global is helping banks find the right investment in available technologies. Andrew Beatty, the head of Global Next Generation Banking, shares his projections for where the industry needs to focus efforts.
More than ever, banks need to accelerate digital transformation with data, applied analytics, cloud solutions and 5G functionality.
To keep up with what’s happening on the outside with technology and consumers, banks and credit unions must rethink what’s happening inside.
These data-driven AI technologies can help banks and credit unions pursue real digital transformation and generate more revenue.
How do banks deliver quality financial advice cost-effectively while complying with regulations and not coming across as a product pusher?
Smarter payment routing can reduce costs and complexity for payments system participants and improve consumers' checkout experience.
AI, cloud and other technologies are nearing 'exponential change,' says IBM's consulting lead. The stakes are high for financial institutions.
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Andy McKenna, Sr. Director of Conversion Rate Optimization at iQuanti, will reveal cutting-edge strategies for digital experience experimentation in financial services in this webinar.
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Artificial intelligence and APIs are critical, but some tech is still years from implementation in the banking sector (if ever).
COVID underscored financial institutions' need to serve quickly and conveniently. Often chatbots provide the self-service consumers prefer.
Banks need to blend multiple technologies to bridge the gap between basic chatbot conversations and more complex financial inquiries.
With consumer expectations outstripping institutions' ability to deliver strong CX, automation of engagement may be the only solution.
'COVIDnomics' expose more people to predatory lenders. With artificial intelligence traditional lenders can counter with advice and credit.
Most users of artificial intelligence in banking have not maximized their ROI. Here's how banks and credit unions can improve results.
People question the value of AI-enabled interactions, including basic chatbots. Six steps can accelerate AI's impact on customer experience.
Deloitte predicts that AI will drive evolution of advanced tech into a commodity and place renewed emphasis on marketing and management.
External data and analytic capabilities can be used by banking organizations, but internal teams must be trained to deploy these insights.
Finding the right balance of internal capabilities and outside expertise will be crucial to success and may prompt more fintech acquisitions.
To achieve your growth goals in the year ahead, you'll need to find big ideas and unleash new innovations. But you should start building your budget here first.
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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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