Shri Santhanam is Executive Vice President and General Manager of Global Analytics and AI for Experian’s Decision Analytics business division. He is a frequent speaker on Artificial Intelligence and Machine Learning. Most recently, he has been quoted or interviewed in CIO.com, Artificially Intelligent podcast, AI in Business podcast and Tech Talks Daily. His industry expertise allows him to show clients how to take full advantage of the opportunities in advanced data analytics. Prior to Experian, Shri was a partner at the international management consulting firm Oliver Wyman. There he co-founded Oliver Wyman Labs, which helps clients use data, technology and advanced analytics to drive transformative business impact. Shri is an engineer by background and while studying at Stanford University focused on data science and analytics in flight control systems.

-- Shri Santhanam

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We can unequivocally say artificial intelligence (AI) is single-handedly transforming industries right in front of our eyes. From improving fraud detection to developing AI-powered chatbots to manage customer inquiries, AI is reshaping how businesses innovate and operate. As we navigate the rapidly evolving landscape of AI, businesses across the spectrum have to continue balancing innovation with ensuring the technology is used in a responsible and ethical manner. At Experian, we believe the dual focus not only drives our technological advancements forward but reinforces our commitment to helping provide fair and transparent outcomes for consumers. We recognize the power of AI lies in its ability to transform data into actionable insights, empowering businesses to make more informed decisions, enhance customer experiences and improve operational efficiencies. For instance, we recently launched the Experian Assistant, which is part of the Experian Ascend Platform™. This agentic AI tool leverages natural language inputs to help reduce the time it takes to develop complex analytical models and solve for multifaceted use cases. In addition, the tool allows financial institutions to explore vast datasets and deliver more value to customers.  However, with great power comes great responsibility. As we continue to harness the technology and unlock the full potential of AI, we are committed to understanding and defining the right frameworks for responsible innovation and the ethical use of AI solutions.  Our approach to the responsible use of AI allows us to get ahead of the potential risks instead of responding and reacting. Experian’s governance frameworks on the use of AI are built on intentional and deliberate choices about our policies and principles; it empowers us to innovate, as well as build trust with our clients, consumers and the broader community.  We believe that ethical AI use is a fundamental aspect of our corporate responsibility. In addition to our internal governance, we actively collaborate with our clients and other industry leaders to help shape the future of AI. Actively engaging with industry stakeholders allows to us to contribute to the standards that help promote transparency, fairness and accountability. While we are excited about the potential of AI and its ability to transform the financial services industry and beyond, we are steadfast in our commitment to its responsible use. To realize the full promise of AI, all stakeholders need to be a force for positive change. Related Posts

Published: April 7, 2025 by Shri Santhanam

I recently had the opportunity to discuss the current state of #data collection, analytics, and AI in an interview with @CIODive. As technology advances, businesses can collect and analyse more data than ever before. However, most of that information ends up languishing, seldom being used or even catalogued. Recent research suggests that partly, this happens because businesses are unaware of what data they store or don't know how to get actionable insights out of it. This lack of visibility into data stores affects organisations' readiness to apply artificial intelligence (AI) and machine learning (ML): advanced analytics require data to be properly managed and organised. At Experian, we believe in taking an outcome-focused approach to analytics and AI as we look at activating the power of our data AI outcomes. We work backwards, from high-impact client and consumer outcomes, and bringing to bear the analytics, AI and data to achieve them. This way, we can assess more accurately what effort across data collection and analytics is required to achieve an outcome. Executed effectively this can avoid an enormous amount of investment in people, time, data. If you're interested in this topic, I'd recommend you to read the article in full: http://bit.ly/AImlShri_CIODive

Published: November 22, 2019 by Shri Santhanam

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