February 25, 2022
Not everything that is faced can be changed, but nothing can be changed until it is faced ~ James Baldwin
What do you get when you cross a wall unit with artificial intelligence . . . shelf-awareness?! It’s finally here, the age of machine learning, digital ecosystems, universal data, and artificial intelligence (AI), all combined to influence business results and accelerate cultural changes. AI is the link that transforms massive amounts of data into valuable insights for business.
Wikipedia defines AI as the “ability of a computer program or machine to think and learn.” Create&Learn for kids has simplified what AI does – – “AI enhances the speed, precision and effectiveness of human efforts.” Bingo!
So why do banks across the board have such difficult times adapting to new technologies? Be’eri Mart’s recent September article on Analyzing Bank Behavior shared his insights:
- “A recent McKinsey reportsays that global and regional banking leaders increasingly rely on digital ecosystems driven by artificial intelligence (AI) and analytical capabilities to inform their business processes. To that end, the main challenges banks face today stem from their inability to operationalize vast amounts of data and deploy advanced analytics.”
- “Banks that successfully integrate advanced analytics and data operationalization into their technology infrastructure hold a significant competitive advantage over banks that rely on manual processes. Although transitioning to digital, data-driven systems can be challenging for banks, the benefits are tremendous – product personalization, faster pricing processes, enhanced risk management and more.”
Historically, banks have created bias loan systems built around inaccurate credit information, lack of data, manual mistakes, ineffective analysis, and discriminating practices, excluding a large segment of the population deemed not worthy of credit, all contributing to deficient product offerings. Implementing AI capabilities in a thoughtful, unbiased manner will reduce errors, customize products, increase speed, identify fraud, limit unfairness, automate data management, and most importantly, expand loans to a more inclusive population. Unfortunately, many banks are not equipped with the expertise to execute analytics driven solutions. In today’s high-powered world of technology, only addressing the business needs in the financial arena is a partial solution, however, having the technical knowledge to leverage AI as a means to the end is the critical missing piece.
RIBBIT, the bank behavior experts, uses AI as one of their deep digging tools, which has created the most insightful window into a consumer’s ability-to-pay for products and services. As more payments are paid through our bank accounts, consumers’ financial footprints will be reflected in their transaction information. The RIBBIT team of data analysts has cracked the risk assessment code, making sense out of the bank account data to analyze and predict future fiscal behavior based on current banking patterns. The insights garnered through AI give data scientists the ability to predict affordability with a high level of reliability and accuracy. The RIBBIT team claims the resulting probability score is more effective than the credit score however, when used together, the outcome is a more comprehensive assessment tool benefiting both lenders and consumers.
Adding AI to the risk formula creates diverse opportunities for banks and for the underserved so that accessibility and fairness can thrive, opening doors to a myriad of successful loans. No longer will affordability be underestimated.
Stay tuned . . .
Former FactorTrust Founder/CEO, Greg Rable, Joins RIBBIT Board of Directors
OXFORD, Ohio, April 12, 2022 /PRNewswire/ — Today, RIBBIT Inc. announced the appointment of Greg Rable to the RIBBIT Board of Directors. As the former Founder/CEO of FactorTrust, since acquired by TransUnion in 2017, Greg brings over 25 years of management and strategy experience, combined with a history of building successful fintech and alternative data businesses for the consumer finance space. In his role, Mr. Rable is helping guide the RIBBIT leadership team and promote the growth of bank behavior data as a powerful and necessary predictive data solution.
Getting Real with Financial Inclusion
Financial inclusion matters not only because it promotes growth, but because it helps ensure prosperity ~ Sri Mulyani Indrawati
How arbitrary are the words ‘financial inclusion’; who’s in, who’s out and why is it so unfair? If a consumer is ‘in,’ there are financial opportunities for building a better life. If a person is ‘out,’ good luck with climbing out of a deep money pit. Today’s financial institutions think they are building a more inclusive process. However, many are still using information reflective of historical bias so if it didn’t work then, it ‘ain’t gonna work now’.
Why Interpretation of Data Matters
When a man gives you a rose, what you see may not be what he intends~ Patrick Rothfuss
Assessing information is the foundation of most of life’s important decisions. Mistakes are made when the data is unavailable, unclear, inaccurate, insufficient, immaterial, or unjust. How many people have suffered throughout history by poor decision-making? Like it or not, today’s world is data driven, hopefully an information mecca for making insightful, educated, proven and unbiased decisions. However, data is just that, information on a page, it becomes meaningful only when it is wisely analyzed and interpreted.