Lumos Data’s Post

In today's fast-paced financial world, static credit scoring models just don't cut it anymore. Lesson #5 highlights the importance of dynamic scoring systems in adapting to the evolving credit landscape. Powered by AI, these systems offer flexibility and responsiveness, allowing lenders to incorporate real-time data and trending variables into their credit assessments. By harnessing AI for dynamic scoring, financial institutions can supercharge their risk assessment, make more accurate decisions, and swiftly adapt to market shifts. The ability to continuously refine scoring models based on the latest trends keeps lenders ahead of the game, aligning lending decisions with borrowers' dynamic needs. In the digital age, data is king, and customer preferences evolve rapidly. Adopting dynamic scoring systems isn't just beneficial—it's essential for optimizing lending operations, managing risks, and driving growth. By embracing AI-driven technologies and dynamic scoring, lenders unlock a world of innovation, efficiency, and competitiveness in modern lending. Join us as we dive deeper into the transformative impact of dynamic scoring in lending. Stay tuned for Day 4, where we'll explore lesson#6 and delve into the strategic importance of financial inclusion in the industry. Follow Crediflo for more insights! (All data is from Zest AI) #DynamicScoring #AIInFinance #FutureOfLending #CredifloInsights #FinancialInclusion #LendingInnovation #DataDrivenDecisions

Join Brett Wooden for an insightful podcast featuring Tom Tobin, the founder and CEO of Modelshop talking about how credit unions can utilize AI, cash-flow modeling, and their banking data to attract more Gen Z and underserved members. This is a must-attend event for anyone interested in the intersection of technology and inclusive lending practices. #GenZ, #Underbank, #Origination, #AutomatedDecisions, #AILending, #CreditUnions, #CashflowUnderwriting,

Dive into the future of banking with our latest blog posts: · Here’s Why Pentagon Credit Union (PenFed) is Turning to AI for Hyper-Personalization · Bank of America’s Erica AI Surpassed 1.5 Billion Client Interactions: Here’s What That Means for the Future of AI in Banking. These insights set the stage for what's to come at Future Digital Finance 2024, happening from April 2 - 3 at the Hyatt Regency in New Orleans. Forge your future and gain a deeper understanding of the trends shaping the financial landscape. Read these blog posts: https://bit.ly/3HZFZFf #FutureDigitalFinance #FDF #FinanceInnovation  

If you're looking to learn more on how Credit Unions and Financial Institutions can attract more Gen Z and Underserved customers, I'd highly suggest attending this upcoming webinar featuring Brett Wooden and Tom Tobin on Friday, 9/13, 10am PST. Here's the link to register: https://lnkd.in/ga4inKjD #GenZ, #CashflowUnderwriting, #Modelshop, #AILending,

🚨 Reminder! 🚨 Don't miss out! Tomorrow, September 13th, I'll be hosting an insightful conversation with Tom Tobin , founder and CEO of Modelshop to explore the transformative power of leveraging banking data and AI to attract new members and optimize portfolio performance. Join us as we delve into Tom’s journey, explore the innovative strategies behind Modelshop, and discuss the future of fintech. Mark your calendars and tune in to gain valuable insights into the world of fintech and AI. See Registration Link Below. See you there! #Webinar #Fintech #Entrepreneurship #Innovation

Key takeaway from The Brief: Banks are actively talking about AI more than they had before. We found that 22 of the 50 Evident AI Index banks have held Q2 calls, and AI was mentioned in 15 of them. That’s a higher share than we’ve seen before. However, one clear theme has emerged from the Q2 bank earnings season: AI costs are rising fast. And cost savings or revenue upside from the investment are still elusive, at least from the results the banks are putting out. Analysts pulled on that thread in their questions, forcing bank leaders to justify the strategic pivot to this technology. One example includes: - Bank of America expects to spend $4 billion on tech initiatives like AI in 2024, a 5% increase on last year. AI had “moved from cost savings ideas to enhancing the quality of our customer interactions,” CEO Brian Moynihan said. To find out what the likes of Goldman Sachs, Citi, Nordea, and JPMorganChase said in their most recent earning calls, click here: https://lnkd.in/e2Wi9mDg To receive our newsletter, The Brief, to your inbox every fortnight, sign up here: https://lnkd.in/e6D38aQc #evident #banking #finance #ai #artificialintelligence

https://lnkd.in/g8bqhB3n I am interviewed in this article in Virginia Business Magazine on how credit unions are leveraging Artificial Intelligence to create a better member experience.

Explore the future of lending with Earnix and AFSA! Discover how AI-powered pricing analytics are reshaping strategies for banks and auto finance companies, driving profitability and efficiency. Join us as we tackle the challenges of governance and compliance in this dynamic landscape. Don't miss out >> https://bit.ly/3vI1I29 #AI #autofinance #banks

Generative AI — it’s been one of the hottest banking topics of the year, and it shows no sign of slowing down. But is your bank truly prepared? If not, check out Mayur Vichare’s entry in the Mambu 2024 Predictions Report to find out why you need to act now: https://hubs.la/Q02bTdBh0

With a predicted CAGR of 32.6% from 2021 to 2030, the market for AI in the Banking sector is expected to reach $64.03 billion by 2030! Learn how AI is transforming the financial service industry. Read on - bit.ly/4bpJp0m #aiinbanking #fintech #futureoffinance #bankinginnovation #machinelearning #frauddetection #customerexperience #financialservices #fintech #fingentservices #corebanking #bankingtech