Technology thought leader Brian Roemmele wants generative AI models to transform banking in positive ways and suggests ways to avoid pitfalls.
Data Analytics in Banking
Articles about data analytics in banking, including data analytics tools, big data, how to leverage data to personalize the digital banking experience, and other advanced data analytics strategies to drive business decisions.
A combined marketing-IT experiment at Ally Financial saved thousands of hours of staff time. Next year will see bigger and deeper implementation.
Popular Articles within Data Analytics in Banking:
Discover a proven roadmap for harnessing the power of LLMs and Generative AI in your customer service organization.
Think twice before you set generative AI loose to handle customer service. What private customer information could it expose to the world?
In this on-demand webinar from Klarivis, discover how data isn't just an option—it's the cornerstone of success.
Generative AI has the potential to transform loan approvals, customer service and more. But successful implementation requires bankers to focus.
As artificial intelligence advances and reshapes banking, AI maturity becomes crucial for financial institutions to remain competitive.
Artificial intelligence is reshaping banking, but few banks and credit unions have the AI maturity necessary to keep up. Evident's Alexandra Mousavizadeh breaks down the factors that determine an organization’s AI maturity.
By taking steps to build more meaningful personal relationships, U.S. banks could boost revenue from primary customers up to 22%. Learn how.
Personalization, cybersecurity and artificial intelligence are just a few use cases for quantum computing that Truist and IBM will research.
In the second part of an interview with Multiplex's Brian Roemmele, we discuss the potential of generative AI and ChatGPT in banking — and their impact on customer experience.
Banks and credit unions can win more business by using pricing models that take into account everything they know about customers.
Is AI stalling in your organization? Here's how to avoid the major pitfalls of artificial intelligence projects, drawn from real-life experience.
Brian Roemmele of Multiplex explores the impact of generative AI on customer experience and engagement, as well as AI's ethical considerations and regulatory challenges, in order to understand the transformative power of AI in banking.
A new, more destructive form of fraudulent activity has emerged: The Butterfly Effect. Here’s how banking data can provide protection for account holders, even when they unwittingly give crooks access to their account.
Here’s what industry leaders are saying about the promise and peril of generative artificial intelligence.
Enterprise AI projects often get derailed. An expert on artificial intelligence in banking details how Truist stays on track.
Federal student loan payments won't be coming back to the same credit environment that existed when the moratorium was put in place.
'85% right' might work for ChatGPT rough drafts, but giving someone just 85% of their bank balance wouldn’t fly. Execs talk margins of error and other AI issues.
Banks and credit unions sit on a wealth of data, but customer service staff has trouble finding it. Improving 'enterprise search' is imperative.
McKinsey's digital & artificial intelligence leaders offer a roadmap to transformation success, including a case study on how DBS Bank did it.
Eric Lamarre of McKinsey & Company explains how successful digital transformations require leaders to embrace dramatic change around their talent, operating models, technologies, and data capabilities.
Technology & third-party collaborations are not just value-added propositions, but fundamental elements to meet strategic banking urgencies.