A naukri.com initiative
VentureBeat
2M
285
Image Credit: VentureBeat
Credit where credit’s due: Inside Experian’s AI framework that’s changing financial access
- Experian has taken a measured approach to adopting and deploying AI, developing its own internal processes and governance models.
- Their approach blends advanced machine learning, agentic AI architectures, and grassroots innovation to improve business operations and expand financial access.
- Experian has been developing AI capabilities for nearly two decades, leveraging generative AI breakthroughs rapidly.
- The company has pioneered the use of Gradient-Boosted Decision Trees and explainable AI systems for credit underwriting.
- Experian was already experimenting with language models and transformer networks before the release of ChatGPT, allowing them to quickly leverage generative AI advancements.
- Their structured approach around strategic pillars offers a blueprint for enterprises seeking systematic AI implementation with measurable impact.
- Experian's platform architecture prioritizes adaptability and flexibility in technology choices to avoid one-way doors and accommodate evolving AI capabilities.
- The company's AI implementation has had a significant impact on addressing the challenge of 'credit invisibles' by approving more applicants from previously invisible populations.
- For enterprises aiming to lead in AI adoption, Experian recommends building adaptable architecture, integrating governance early, focusing on measurable impact, and considering agent architectures.
- Experian has demonstrated that responsible AI governance enables sustainable, trusted growth and significant business and societal impact for traditional data companies transitioning into AI-powered platforms.
Read Full Article
17 Likes
For uninterrupted reading, download the app