The Transformation of Credit Reporting Through Cloud and AI Technologies
July 23, 2024
Note: We reveal investment insights through the quotes of top business leaders.
Key Takeaways
- Cloud and AI technologies are revolutionizing credit reporting by enhancing efficiency, scalability, and innovation.
- AI improves credit scoring and fraud detection, broadening the population assessed and providing real-time alerts for early fraud detection.
- Consumers and businesses benefit from reduced risk, labor savings, improved underwriting, and enhanced trust.
- Regulatory focus on safety, reliability, and security is increasing, ensuring robust oversight of cloud and AI technologies.
- Future trends in credit reporting will be driven by advancements in generative AI and cloud technologies, with significant investments from major tech companies.
Current State of the Credit Reporting Industry
Equifax's credit reporting business is experiencing growth, particularly in the U.K., and expects strong non-mortgage revenue growth despite a decline in U.S. credit inquiries. The company is also diversifying by providing income and employment data to government services, highlighting a broader scope beyond traditional credit reporting.
"The increase is due to growth in the credit reporting businesses in the U.K., as well as growth in our debt services business in the U.K. Local currency fluctuations against the U.S. dollar positively impacted revenue by $3 million, or 4%, for the first quarter of 2024." --- (EFX, sec filing, 2024/Q1)
"We expect strong constant dollar non-mortgage revenue growth of over 10% and our full year guidance is based on the assumption that the U.S. mortgage market continues at levels consistent with current run rates with U.S. credit inquiries down about 11% from 2023." --- (EFX, earning call, 2024/Q1)
"Bureau. For example, we have a $700,000,000 run rate business with the government in the U. S. Federal and state governments in the U. S. Using our income and employment data that's obviously not a credit bureau." --- (EFX, conference, 2024/05/07)
"And it's in markets that we're just credit bureaus are not in. Our largest vertical in workforce solutions is now government, as we call it, which is where our income data is used to deliver government social services to the 100 +1000000 individuals in the United States that receive rent support, childcare support, food care support." --- (EFX, conference, 2024/06/05)
"Mark Begor: Yes, we sell our credit reports to a number of companies that provide credit monitoring to consumers in the U.S. We have our own business, and including the sell to [ph] Experian and TU to lots of others that provide credit monitoring." --- (EFX, earning call, 2024/Q1)
Integration of Cloud Technology in Credit Reporting
Google, Oracle, IBM, Amazon, and Microsoft are all heavily investing in cloud infrastructure and flexible deployment models, enhancing efficiency and innovation. These advancements are crucial for integrating cloud technology into credit reporting, enabling more efficient, scalable, and innovative solutions.
"And it really goes to Sundar's comment, opening comment, that we're very committed to making the investments required to keep us at the leading edge in technical infrastructure to support the growth in Cloud, all the innovation and search that he and Philip have spoken about and our lead with Gemini." --- (GOOG, earning call, 2024/Q1)
"Not only are our cloud technologies vertically integrated to work together, but we offer flexible deployment models like public cloud, multi-cloud, sovereign clubs, dedicated cloud or any other way our customers ask us to deliver." --- (ORCL, earning call, 2024/Q4)
"Automation revenue increased 13.1 percent as reported (13.4 percent adjusted for currency), reflecting the contribution from Apptio, acquired in the third-quarter 2023, and the strength of our IT Automation portfolio, which together unlock the full benefits of a FinOps solution for technology investments across hybrid cloud environments." --- (IBM, sec filing, 2024/Q1)
"We work with those customers to use the Cloud more efficiently. This was a headwind to short term revenue but was key to how we seek to build customer relationships for the long term.As we move throughout 2023, we saw these cost optimizations diminish and our revenue growth rate accelerate." --- (AMZN, event transcript, 2024/05/22)
"The agreement will also accelerate productivity and new innovations in AI. Cloud Software Group's engineering organizations are deploying GitHub Copilot to all their engineers with the goal of increasing developer productivity by over 20% - thus accelerating the pace of R&D across the organization." --- (MSFT, press release, 2024/04/04)
Impact of AI on Credit Scoring and Fraud Detection
AI enhances credit scoring by broadening the population assessed, though it may exclude some consumers (FICO). It improves fraud detection through adversarial testing (GOOG) and advanced risk models (PYPL). Real-time alerts also aid in early fraud detection (FICO).
"I think on the margin, there are some consumers who will be left behind. So if the goal is to make sure that we are scoring as broader population as possible and providing mortgages and credit to everyone who can responsibly handle it, if that's your goal, and I think that is truly the goal, biomercial doesn't help, it hurts." --- (FICO, conference, 2024/05/08)
"We also do it by doing red teaming, a kind of adversarial testing against a range of risks, including cybersecurity vulnerabilities, as well as challenges like discrimination, fraud, or abuse." --- (GOOG, event transcript, 2024/06/07)
"All of that will move towards improving transaction margin. That said, we’re also getting better with our risk models and leveraging AI." --- (PYPL, earning call, 2024/Q1)
"This knowledge and empowerment transfers to other significant customer financial decisions, whether it is obtaining a home mortgage, starting a small business, or buying a car. With FNBO's Credit Watch, real time credit inquiry alerts also help customers monitor their accounts by supporting early detection of identity theft and fraud." --- (FICO, press release, 2024/05/02)
Benefits to Consumers and Businesses
Cloud and AI technologies in credit reporting enhance value for consumers and businesses by reducing risk, saving labor hours, improving underwriting capabilities, and building trust. These advancements drive economic activity, improve credit decisioning, and enhance identity validation and fraud protection, ultimately benefiting both parties.
"really important one for the company. We think it makes us a stronger partner to our customers because, as I said, we're bringing more value to them with new ideas to help them grow." --- (EFX, conference, 2024/06/04)
"This reduces risk for both the company and the customer. We were also impressed by the sheer amount of labor hours saved through their dynamic solutions." --- (FICO, press release, 2024/04/17)
"Demand for our services tends to be correlated to general levels of economic activity and to consumer credit and small business commercial credit decisioning and portfolio review, marketing, identity validation and fraud protection activity, employee hiring and onboarding activity, and activity in provisioning support services in the U.S. by government agencies." --- (EFX, sec filing, 2024/Q1)
"Together, we are helping businesses worldwide build trust with consumers, outpace the competition and improve the bottom line." --- (FICO, press release, 2024/04/18)
"That adds to the underwriting capabilities of that consumer and adds to the value of our credit file and our solution. And we're really energized about those kind of solutions that combine USIS and EWS products that will benefit both businesses, but we think make our credit file more valuable, which should drive credit file share." --- (EFX, earning call, 2024/Q2)
Regulatory Considerations for Cloud and AI in Credit Reporting
Regulators are increasingly focused on the safety, reliability, and security of financial ecosystems, including credit reporting. Recent actions, such as the UK payment system regulator's scrutiny of network fees, highlight the growing regulatory interest in ensuring robust oversight of cloud and AI technologies in credit reporting.
"But at the same time, as I said, regulators appropriately have taken a very keen interest in the safety, reliability and security of the payments ecosystem. And we need to continue" --- (V, conference, 2024/05/30)
"Love to get your perspective. For example, just recently, the UK payment system regulator put out a report saying, hey, we're actually looking at network fees where this is not interchange, this is network fees, right?" --- (V, conference, 2024/06/04)
Security and Privacy Concerns in Cloud and AI Adoption
Security and privacy concerns in cloud and AI adoption are being addressed through integrated AI security layers (Microsoft), tackling new cybersecurity challenges (IBM), prioritizing user safety and privacy (Google), leveraging built-in security and compliance (Amazon), and ensuring data privacy globally (Oracle).
"We start with the Microsoft Cloud. So we have infused AI at every layer of power platform, our security Power Platform, our security services." --- (MSFT, conference, 2024/05/21)
"However, this accelerated migration to the cloud also exposed vulnerabilities and created new cybersecurity challenges, such as securing remote endpoints, ensuring compliance with data privacy regulations, and defending against evolving cyber threats." --- (IBM, press release, 2024/05/23)
"Our discussions have included many emerging issues at the cutting edge of AI development from protecting the safety and privacy of users to our long standing commitment to human rights to developing ways to accelerate climate action." --- (GOOG, event transcript, 2024/06/07)
"By leveraging the rigorous security, privacy and compliance built into AWS, CrowdStrike enables organizations to responsibly adopt AI innovations with security and trust built-in natively. Amazon Enhances Security with the CrowdStrike Falcon Platform" --- (AMZN, press release, 2024/05/02)
"It allows us to get to every corner of the globe, and provide a level of privacy for your data that other cloud providers cannot provide." --- (ORCL, earning call, 2024/Q4)
Challenges in Implementing Cloud and AI Technologies
Implementing cloud and AI technologies in credit reporting faces challenges such as budgetary constraints impacting margins (EFX), strategic decisions on reinvestment (EFX), and difficulties in customer adoption and effective utilization (FICO). Despite these hurdles, cloud solutions can simplify processes and reduce upfront costs (FICO).
""By working together, we're striving to ensure a safe and secure future for real-time payments for multiple payment clearings such as FedNow, RTP, and SEPA Instant Credit Transfer." For banks of all sizes, this proposed cloud-based solution can be implemented on a pay-per-use or licensing basis, eliminating upfront costs and simplifying the process." --- (FICO, press release, 2024/04/17)
"I'm just curious, the dollars you're spending on that and going forward here, are you doing that within the context of, say, your normal technology budget, putting aside the cloud and stuff, within -- inside your normal technology budget here or it's just displacing other spending that you normally would do on the technology side… Mark Begor: No, no, there's.. Craig Huber: Incremental. Mark Begor: Yes. Craig Huber: That it's actually hurting margins?" --- (EFX, earning call, 2024/Q2)
"In response to this challenge and to ensure the continued affordability of cars for customers upon delivery, an automated procedure was implemented to reinitiate soft credit checks on customers and reassess their creditworthiness." --- (FICO, press release, 2024/04/17)
"I just -- what's the current thinking on flowing through the tech transformation savings into margin versus any change in thinking on reinvesting that to, I guess, best harvest the increased revenue opportunity from the cloud transition?" --- (EFX, earning call, 2024/Q2)
"We would get up at FICO World 4 years ago and share the picture of what we could do, but it was hard to find customers who were really implementing it and getting the power and the use out of it." --- (FICO, conference, 2024/05/08)
Future Trends in Credit Reporting with Cloud and AI
Future trends in credit reporting will be driven by advancements in generative AI and cloud technologies. Companies like AWS, Workday, Oracle, Microsoft, IBM, and Google are investing heavily in these areas, focusing on productivity, geographic expansion, and enhanced AI capabilities, which will transform credit reporting processes.
"Together, AWS and Workday will build generative artificial intelligence (AI) capabilities, jointly innovate new customer experiences, and invest in joint go-to-market initiatives to accelerate customer cloud transformation, helping customers increase productivity, grow and retain talent, and streamline business processes." --- (AMZN, press release, 2024/07/11)
"We believe these factors should contribute to future growth in our cloud and license business’ total revenues, which should enable us to continue to make investments in research and development and our cloud operations to develop, improve, increase the capacity of and expand the geographic footprint of our cloud and license products and services." --- (ORCL, sec filing, 2024/Q4)
"Today we announced our largest investment in our nearly three decades in Indonesia, as we partner to advance the country’s cloud and AI ambitions, and help Indonesia thrive in this new era. https://t.co/CqeLI9uVJd" --- (MSFT, twitter, 2024/04/30)
"So Gen AI is what we're all focused on right now in the synergistic effect with hybrid cloud and I couldn't be more happy." --- (IBM, conference, 2024/05/20)
"So typically, the trends we see carry over well. Overall, I think with generative AI in Search, with our AI overviews, we are definitely, I think we will expand the type of queries we can serve our users." --- (GOOG, earning call, 2024/Q1)