Consumer First AI: Building AI That Shows Up In Real Life Moments, Like Shopping For Insurance
We believe financial decisions should feel empowering, not overwhelming. Choosing how to protect your family, planning your next move, building your future, these are personal milestones. Yet too often, the tools meant to help consumers navigate them create friction instead of clarity.
We are changing that.
Our Consumer-First AI strategy starts with a simple belief: technology should make life easier for people. We’re building AI-powered experiences that meet consumers where they are, cut through complexity, and provide guidance that feels intuitive, supportive, and genuinely helpful.
Reimagining Insurance Shopping Through Conversation
One example is the launch of our Experian Insurance Marketplace, a leading platform to find and compare auto insurance rates[i], within ChatGPT.
Shopping for insurance has long been a frustrating process. Consumers jump from site to site, repeatedly entering information and trying to decode policy differences, often still unsure if they found the right coverage at the right price.
Now the experience can begin with a simple question inside ChatGPT.
Consumers now can start their journey with Experian and compare estimated rates from more than 35 leading insurance carriers in our network, receive clear coverage explanations, ask follow-up questions in real time, and seamlessly transition into the Experian experience to explore personalized savings and switch carriers. What once took hours across multiple websites can now begin in one guided interaction.

- Reimagining Insurance Shopping Through Conversation
- Powered by Experian’s Innovation Engine
- Just the Beginning
Experian has long helped people build credit, protect their identity, and improve their financial health. Bringing other capabilities, we offer like insurance into conversational AI is a natural extension of that mission
QA Marketing Technologists

At Experian, we believe that every individual deserves to feel valued, respected, and supported to thrive. We are dedicated to fostering a workplace where people can bring their full identities to work. This commitment extends beyond any single initiative; it is embedded in how we show up for one another and in how we build a culture where all employees feel seen, heard, and supported.
We are pleased that for the seventh consecutive year, our people-first approach has earned us a top score on the Human Rights Campaign Foundation’s Corporate Equality Index (CEI), securing our place on the Equality 100 list for LGBTQ+ workplace inclusion. This honor comes on the heels of winning Out & Equal’s 2025 Outie award for Workplace Excellence and Belonging, and reaffirms our efforts for a workplace that embraces inclusion.
![This Year’s Most Sought-After Data Roles [White Paper] #DataScience #CDO #BigData](https://stg1.experian.com/blogs/news/wp-content/uploads/2017/07/hands.png)
Organizations everywhere are looking to do more with their data assets, as well as better leverage open data and third party data sources for additional consumer insight. The good news is that there is no shortage of information available. The bad news is that wrangling and making sense of all that information can be very challenging. That is why we see 61 percent of U.S. companies stating inaccurate data is undermining their ability to provide an excellent customer experience. However, there is a new breed of data professionals trying to change all that. New talent is coming into organizations looking to unlock the power of data to transform business operations and better serve clients. Businesses everywhere are eager to bring on these data professionals; to the point it is creating a frenzy around data staffing. If you are looking to hire new data professionals, you are certainly not alone. According to a new Experian Data Quality report, Investing in Digital Transformation: This Year’s Most Sought-After Data Roles, businesses are hiring a mix of business- and regulation-focused data positions. Below is a chart showing the top roles being hired according to U.S. respondents and also c-level executives specifically: There are a few key roles I want to highlight. First, data analysts. They are the most sought-after data role by U.S. organizations, mainly because they are so versatile. They are individuals placed across departments to analyze data in such a way that it can be used for business intelligence. 57% percent of businesses spend a majority of their time analyzing data, and this role is key to ensuring they’re getting the right results. The most important role for c-level executives is the chief data officer (CDO). The CDO has seen a lot of hype in the past few years and at this point we are seeing more general adoption of the role. This individual is responsible for developing and implementing an information strategy, which includes disciplines like data security, governance, quality, and management. They also will oversee a team of data professionals who bridge the gap between the business and IT. We have more research on this role in particular coming out next month, but they will often shape cross-functional data organizations and how well businesses can achieve the data insight they desire. In general, with all of these roles, talent shortages are a problem. Relative to demand, very few experienced individuals exist on the market. This means organizations need to come up with creative ways to attract and maintain this talent to keep up with the changing business landscape. For more information on these and other data roles, download a copy of our new report: Investing in digital transformation: This year’s most sought-after data roles. Download the complete "The Year's Most Sought-After Data Roles" report.

The real-time economy is all around us. With the swipe of a finger, we can order a car, find a babysitter or make a mortgage payment.
Believe it or not, my personal journey as a woman in data science started with physics. I was always very curious by nature and tried to understand what happens around me. I studied for both a master’s in physics in Spain and a Ph.D. in astrophysics in the Netherlands before making my shift from academia to industry (first in a Big Four consultancy and later in Experian). Gradually, I realized that I liked the academic side of working with data and applying the scientific method to solving problems, but I wanted to do something faster-paced that had more tangible impact. So, before finishing my Ph.D., I joined a data boot camp to further develop my skills, and after defending my thesis I transitioned to data science. Now I’m a full-fledged data scientist at Experian DataLabs. The world is at a very interesting time in terms of technology and innovation, and STEM fields are only going to continue growing. As a data scientist myself, I may be biased, but I think the future of this field is particularly interesting. I can see data being applied in such a variety of ways – from self-driving cars to early medical diagnoses and beyond. In fact, I don’t see the momentum slowing down any time soon, which means that data scientists will continue to be in high demand. I want to do something about the disproportionate amount of men to women in science, showing girls that STEM is for them, too. There’s no quick-fix solution, but I think it’s essential to start educating girls when they’re young about STEM – both at home and in school. Young girls should be encouraged to be curious, to try and fail! For me, data science isn’t about getting it right the first time; it’s about the path of discovery and innovation along the way. The sooner and the longer that girls are encouraged to explore and play with less-conventional toys, like computer games, construction toys or logic puzzles, the likelier they may be to choose careers based on what they personally enjoy doing and not what society expects them to do. Gender stereotypes can be really constraining, especially for children. So, what can a diverse workforce offer that a narrow one can’t? The answer is easy: different approaches, different views and different solutions. With more women in fields like data science, everyone benefits. No one should have to automatically rule themselves out of a career path based on gender.
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Ally is a verb, not just a noun, at Experian. Our Experian Pride Employee Resource Group created an allyship training for all employees and a Parents Group to provide resources to parents, caregivers and family members so they can better support LGBTQ+ youth and family. New this year is our updated bereavement leave policy that acknowledges chosen family, which honors the experiences of many individuals in the community.
As Experian Chief Sustainability Officer Abigail Lovell says, “The world works best when everyone gets to live as they truly are.”
At Experian, we remain dedicated to making that a reality.
Learn more about Experian ‘s commitment to inclusion and belonging in its 2025 Power of YOU Reports: English | Portuguese | Spanish
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