At A Glance
Trustworthy AI depends on AI data governance. Automated systems rely on governed data that is accurate, fresh, consented, and interoperable at every stage. Without governance at the data foundation, organizations lack visibility, accountability and confidence in AI-driven decisions. Responsible automation begins with privacy-first data governance that supports transparency, compliance, and long-term sustainability.Why AI data governance determines trust in automated decisions
AI is reshaping audience strategy, media investment, and measurement. Automated systems now make more decisions at scale and in real time. Trust in those decisions depends on the data that informs them.
AI data governance provides the framework that allows organizations to answer foundational questions like:
- Which information or inputs guided this decision?
- Is the model respecting consumer rights?
- Could bias be influencing the outcome?
- If AI made the wrong call, how would we know?
Without governed data, these questions remain unanswered. AI data governance creates accountability by establishing quality controls, consent validation and auditability before data enters automated systems.
Most organizations are still building their readiness to govern data at scale. Many vendors highlight “fast insights” or “transparent reporting,” but few can support true data governance — the auditability, privacy-by-design, quality controls, and continuous compliance required for responsible AI.
That foundation is where responsible automation begins. And it’s why trust in AI starts with data governance.
Responsible automation begins with governed data
Automation produces reliable outcomes only when data is accurate, current, consented and interoperable. AI data governance makes responsible automation possible by applying controls before data reaches models, workflows, or activation channels.
AI systems may interpret context, predict signals, and act in real time. But no model, logic layer, or LLM can be responsible if the data feeding it isn’t governed responsibly from the start.
This raises a core question: How do we ensure AI systems behave responsibly, at scale, across every channel and workflow?
The answer begins with trust. And trust begins with AI data governance.
Governing the data foundation for responsible AI
Experian’s role in AI readiness begins at the data foundation. Our focus is on rigorously governing the data foundation so our clients have inputs they can trust. AI data governance at Experian includes:
By governing data at the source, we give our clients a transparent, accurate, and compliant starting point. Clients maintain responsibility for bias review within their own AI or LLM systems — but they can only perform those reviews effectively when the inputs are governed from the start.
This is how AI data governance supports responsible automation downstream.
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Privacy-by-design strengthens AI data governance
Privacy gaps compound quickly when AI is involved. Once data enters automated workflows, errors or compliance issues become harder, and sometimes impossible, to correct. AI data governance addresses this risk through privacy-first design.
Experian privacy-first AI data governance through:
- Consent-based, regulated identity resolution
- A signal-agnostic identity foundation that avoids exposing personal identifiers
- Ongoing validation and source verification before every refresh and delivery
- Compliance applied to each delivery, with opt-outs and deletes reflected immediately
- Governed attributes provided to clients, ensuring downstream applications remain compliant as data and regulations evolve
Experian doesn’t govern our client’s AI. We govern the data their AI depends on, giving them confidence that what they load into any automated system meets the highest privacy and compliance standards.
Good data isn’t just accurate or fresh. Good data is governed data.
How AI data governance supports responsible automation at scale
With AI data governance in place, organizations can build AI workflows that behave responsibly, predictably, and in alignment with compliance standards.
Responsible automation emerges through four interconnected layers:
Together, these layers show how data governance enables AI governance.
AI integrity starts with AI data governance
Automation is becoming widely accessible, but responsible AI still depends on governed data.
Experian provides AI data governance to ensure the data that powers your AI workflows is accurate, compliant, consented, and refreshed with up-to-date opt-out and regulatory changes. That governance carries downstream, giving our clients confidence that their automated systems remain aligned with consumer expectations and regulatory requirements.
We don’t build your AI. We enable it — by delivering the governed data it needs.
Experian brings identity, insight, and privacy-first governance together to help marketers reach people with relevance, respect, and simplicity.
Responsible AI starts with responsible data. AI data governance is the foundation that supports everything that follows.
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About the author

Jeremy Meade
VP, Marketing Data Product & Operations, Experian
Jeremy Meade is VP, Marketing Data Product & Operations at Experian Marketing Services. With over 15 years of experience in marketing data, Jeremy has consistently led data product, engineering, and analytics functions. He has also played a pivotal role in spearheading the implementation of policies and procedures to ensure compliance with state privacy regulations at two industry-leading companies.
FAQs about AI data governance
AI data governance is the framework that manages data quality, consent, compliance and auditability before data enters AI systems.
AI decisions reflect the data used as inputs. Governance provides transparency, accountability and trust in automated outcomes.
AI data governance does not eliminate bias in models. It provides governed inputs that allow organizations to identify and address bias more effectively.
Privacy-first governance applies consent validation and compliance controls before data is activated, reducing downstream risk.
Organizations govern their AI systems. Data providers govern the data foundation that feeds those systems.
Latest posts

With the impending deprecation of third-party cookies, marketers find themselves at the crossroads of innovation and adaptation. As we bid farewell to this identifier, the emphasis shifts to forging deeper connections, understanding customer needs, and navigating the marketing landscape with data-driven precision. At Experian, we stand as your trusted partner, committed to guiding you through this transition. In this blog post, we'll explore: How third-party cookie deprecation is impacting digital advertising Six alternatives to third-party cookies and where they fall short How Experian can help you navigate a cookieless world Four ways third-party cookie deprecation is impacting digital advertising Third-party cookie deprecation is causing significant challenges within the AdTech industry, manifesting in four key areas: Reach: Advertisers and demand-side platforms (DSPs) will face difficulties in reaching their target customers due to the absence of third-party cookies. Understanding audiences: Advertisers will find it challenging to understand the demographics and behaviors of their customer base without third-party cookies. Similarly, publishers are struggling to identify their audiences accurately, resulting in less addressable and appealing inventory. Measurement: Measurement providers may encounter obstacles in accurately assessing the effectiveness of advertising campaigns. Additionally, DSPs are finding it hard to measure the impact of their ads without the assistance of third-party cookies. Matching: Data providers may experience challenges in matching users with the appropriate audience segments, leading to difficulties in delivering targeted advertising. Six alternatives to third-party cookies As the deadline approaches for Google's removal of third-party cookies from Chrome by the end of 2024, marketers are scrambling to discover alternative methods for delivering effective advertising. Fortunately, various alternatives are emerging. However, the abundance of options can create confusion rather than clarity. Which alternatives are worth considering? Here are six compelling alternatives to third-party cookies: 1. First-party data Acquiring consented first-party data directly from users is becoming increasingly vital as it can lay the groundwork for more precise targeting. 2. Universal IDs Alternative identifiers like The Trade Desk's UID2 and ID5’s Universal ID are becoming increasingly important, offering the ability to maintain a comprehensive consumer view across channels and platforms, leading to enhanced personalization and addressability across various channels, even in cookieless environments. 3. Identity graphs As browser-based IDs shift and digital signals decline, the need for an identity graph grows, with companies adopting a "graph-of-graph" strategy by combining their own robust first-party data with licensed identity graphs, as highlighted in recent announcements by industry giants such as Disney, VideoAmp, and Magnite. 4. Contextual targeting Contextual targeting aligns publisher content with relevant ads, ensuring ad delivery based on content rather than individual identifiers. This privacy-respecting approach is less dependent on third-party cookies, providing effective audience activation. 5. Data collaboration In a cookieless world, it becomes more difficult for companies to "communicate" with one another. We expect to see more pick up of data collaboration in the market, using addressable IDs and identity resolution to power connectivity between partners and their data sets. 6. Google Privacy Sandbox The primary goal of Google’s Privacy Sandbox is to continue to deliver valuable consumer information that yields relevant marketing and media strategies, while protecting a user’s privacy. How these alternatives to cookies fall short While it's promising to see numerous alternatives to cookies emerging, it's essential to recognize that each alternative has its limitations and is not a perfect one-to-one replacement for third-party cookies. Let’s review the shortcomings of these alternatives, and then we’ll walk through how Experian can help you navigate these alternatives to cookies. 1. First-party data First-party data, which is data directly collected from your users with their consent, is highly valuable. However, you will likely face limitations in terms of the number of consumers in your database, the identifiers linking them, and the insights into their demographics and behaviors. To overcome these limitations, it's essential to expand both the quantity and quality of your first-party data. 2. Universal IDs Universal identifiers are valuable for tracking users across different devices and websites. However, no single universal identifier has enough reach to fully replace third-party cookies. Universal IDs are most effective in terms of scaling, when they are combined with other universal identifiers or alternative addressable identifiers. 3. Identity graph Identity graphs excel at connecting digital audiences. However, establishing an identity graph from scratch is a significant accomplishment, demanding expertise, financial resources, and more. 4. Contextual targeting Contextual targeting and advertising aim to place your ads next to relevant content. However, there's a risk that your ads might appear alongside misaligned content, reaching audiences who are uninterested or unintended. 5. Data collaboration Data collaboration is beneficial for enhancing your consumer data and informing your strategies. However, it can introduce potential data security risks, if not done in the right framework, and may lead to subpar matching results due to issues like data hygiene or discrepancies in identifiers. 6. Google Privacy Sandbox Google’s Privacy Sandbox aims to balance effective advertising with consumer privacy and data security. However, it lacks transparency and has yet to prove its effectiveness, raising concerns about whether it meets industry standards. How Experian can help you navigate a cookieless world As an industry innovator and leader in data and identity, we've developed solutions to address the challenges posed by the shift away from third-party cookies. Our products are designed to adapt to these changes and ensure your success. We've anticipated industry shifts and proactively prepared our offerings to support you through this transition. Below we outline how our products are ready to support you through the transition away from third-party cookies. Graph The Experian Graph facilitates connectivity without relying on cookies. Our Graph helps ensure connectivity by supporting a variety of addressable identifiers, not limited to but including universal IDs, like Unified ID 2.0 (UID2) and ID5's universal ID. Whether you have first-party data or not, our Graph can be used to expand the reach of your first-party data or provide you with access to the full scope of our Graph's 126 million households and 250 million individuals. Activity Feed Supported by our Graph, Activity Feed can help you deliver digital connectivity and resolution in a cookieless environment. Activity Feed can resolve disparate activity to a single, consumer profile. It can expand the quantity of addressable identifiers associated with your first-party consumers. Additionally, Activity Feed, by joining disparate activity and identifiers, provides clearer insights, more addressable targets, and more holistic measurement. Our Marketing Attributes and Audiences In a cookieless environment, our Marketing Attributes and Audiences provide valuable information and insights about who your consumers are, like their demographics, shopping patterns, and more, to facilitate more informed decision-making. You can use our Marketing Attributes and Audiences to enrich your first-party data, giving you crucial insights into your customers so you can make informed, strategic decisions. They can be matched to universal identifiers, expanding their utility. Additionally, our Marketing Attributes and Audiences are sourced from non-cookie dependent offline and digital sources, ensuring they are unimpacted by third-party cookie deprecation. Collaboration While third-party cookies have primarily served to connect data in the industry, many companies are turning to data collaboration in lieu of having third-party cookies. In doing so, they can connect data with key partners, which they can use to make better media decisions. Experian Collaboration helps make data collaborations better, powering higher match rates by using the various identifiers supported in our offline and digital graphs. Through our current support of collaboration in three environments, within Experian, through crosswalks, and in clean rooms, such as AWS, InfoSum, and Snowflake, we ensure that you only share the data you intend to share, while the sensitive information remains secure. This way, your partner and you can focus on how to use the data to benefit you and not on anything else. Get started with alternatives to third-party cookies today While many view the deprecation of third-party cookies as disruptive, we see it as an opportunity for the industry to embrace a new era of advertising while prioritizing consumer privacy. Achieving this balance is crucial, and Experian's solutions are here to help you navigate it effectively. As the AdTech industry gravitates toward a few tactics to effectively advertise in the cookieless future, Experian is here to understand your core needs and recommend products that will help. In a rapidly evolving marketing landscape, Experian stands as your trusted partner, offering expertise in data-driven and identity solutions. Connect with our team to seamlessly transition into these alternatives to third-party cookies, ensuring your marketing strategies remain effective, privacy-compliant, and focused on meaningful connections. Get started today Latest posts

In the ever-evolving and soon-to-be cookieless advertising world, brands and agencies need help finding and maintaining access to accurate and comprehensive marketing data that enables them to reach the audience segments that matter most. Flashtalking by Mediaocean and Experian have a collaboration in place to do just that. Through this partnership, Experian’s more than 2,400 syndicated audiences are available for activation within the Flashtalking platform and its Social Ads Manager. “There are a lot of audience segments and data disappearing within the advertising industry right now because of the deprecation of third-party cookies, but Experian’s syndicated audiences are built for this new privacy-first world. Through this partnership, Flashtalking's clients gain access to some of the industry's most actionable on-the-shelf and custom audience capabilities for activation and targeting across the publishers and social platforms that matter most. It’s as easy as identifying the segments that matter to your brand and activating them everywhere they exist with a few simple clicks.” – Ben Kartzman, COO, Flashtalking by Mediaocean This partnership unites the power of Flashtalking's best-in-class independent omnichannel advertising platform with Experian’s comprehensive audience intelligence, which spans 126 million households and 250 million consumers. “For the same reason that brands are investing more deeply in first-party data in the wake of third-party cookie deprecation, having access to the right audience segments has never been more important. Mediaocean offers access to the only independent ad server that’s powering truly omnichannel, personalized experiences, and we’re thrilled to be amplifying their ability to do that through Experian’s expansive audience segments.” – Colleen Dawe, Director, Sell-Side Sales, Experian The Flashtalking Social Ads Manager has long-standing relationships and technical integrations with all major platforms, including Facebook, Google Demand Gen, Instagram, LinkedIn, Pinterest, Snap, TikTok, and a forthcoming integration with Reddit. Experian data can be deployed through custom and syndicated segments within these platforms, providing clients with both reach and precision. The power of the Experian – Flashtalking collaboration Benefits to marketing organizations that tap Experian data and audience segments via the Flashtalking platform include the following: A unified customer view: Marketers can use Experian's comprehensive data within Flashtalking to create a unified view of the customer across multiple channels. This helps craft cohesive marketing strategies that deliver consistent messages, enhancing customer experiences and brand perception. Enhanced targeting and personalization: Marketers can access Experian's detailed audience segmentation and insights within Flashtalking to target campaigns effectively. They can personalize messages at scale based on demographic, psychographic, and behavioral data to increase engagement and conversion rates across all channels. Optimized cross-channel strategies: With Flashtalking's cross-channel capabilities, marketers can integrate Experian's insights to understand how different segments interact with various channels. This enables the design of optimized cross-channel strategies that cater to the preferences and behaviors of different audiences. Data-driven decision-making: This partnership combines Experian's in-depth consumer insights with Flashtalking's analytics and reporting tools to help marketers make informed decisions. This data-driven approach can improve campaign performance, optimize media spend, and reveal untapped market opportunities. Local market activation: Marketers can also use Experian's geographic and location-based data within Flashtalking to tailor campaigns to local markets. This localized approach can enhance relevance and response rates, providing a competitive edge in regional marketing efforts. Improved media efficiency: This collaboration also enables organizations to harness the power of Experian's data within Flashtalking to improve media planning and buying. They can identify the most effective channels and timeframes for reaching specific audiences, leading to more efficient and cost-effective media investments. Why choose Experian in Flashtalking For over 50 years, we have been a trusted single-source provider of data management solutions. Our expertise in offline and digital identity has enabled us to curate data from over 200 direct and active sources, offering a comprehensive view of consumers with granularity, accuracy and scale. Using this data, we can craft our syndicated audiences to cover many verticals and specialty categories. For example, a Flashtalking client in the automotive industry can supercharge its campaign efforts. Experian has found that automotive advertisers build segmentation using four major data categories: Automotive Demographics Lifestyles and Interests Retail Shoppers: Purchase-Based Directly within the Flashtalking platform, multiple syndicated audiences from Experian in each major data category specific to automotive are available that brands and agencies can activate on-the-shelf to reach consumers with targeted messaging and retargeting. Experian and Flashtalking are future-proofing advertising Together, Flashtalking and Experian will ensure advertisers can continue to deliver personalized, relevant, and impactful messages and experiences to consumers despite ongoing shifts within the data-driven marketing landscape, including the deprecation of third-party cookies in Chrome. This partnership offers greater access to audience segments built on privacy-safe insights with expansive reach, scale, and flexibility. Connect with us to learn more about how you can access Experian’s syndicated audiences through Flashtalking by Mediaocean. Contact us today About Flashtalking by Mediaocean Flashtalking unleashes the power of creative to make media work better. As the leading independent platform for personalization and intelligence across all marketing channels, our Creative Ad Tech bridges the gap between creative and media. We provide AI and automation to connect the silos between teams and deliver more efficient production, versioning, and distribution of creative. Our solutions operate at scale across CTV, Video, Display, Social, Native, Audio, DOOH, and Retail Media channels. As part of Mediaocean, Flashtalking is tied into the industry’s core ad infrastructure for omnichannel planning, buying, and billing. Visit flashtalking.com to learn more. Latest posts

Shoptalk 2024, the premier event for retail and e-commerce professionals, brought together industry leaders to discuss the latest trends and innovations shaping the future of retail. As the retail landscape continues to evolve, here are four key takeaways from Shoptalk 2024: 1. The continuing rise of retail media networks The evolution of retail media is propelling us into a new era of advertising and first-party data monetization. Retailers are using their valuable first-party data to offer targeted advertising opportunities on both their owned and operated channels — from sponsored content to personalized ads — and through offsite programmatic ads. However, the full potential of retail media networks (RMNs) is hindered by challenges in understanding and targeting shoppers beyond retail data, reaching customers across channels and validating measurement. To unlock the true value of RMNs, and turn these challenges into opportunities, companies should focus on four areas: Gain insights: Learn more about your customers and the customers your marketing partners care about. Create audiences: Use enriched data to build addressable audience segments for advertisers to target. Maximize reach: Expand your addressability and monetize your data on and off platform. Demonstrate success: Validate marketing impact by connecting ad exposures to outcomes. “It was evident at Shoptalk 2024 that the rise of retail media is unstoppable. The conversations, collaborations, and insights shared at the event cemented the position of retail media networks as the driving force behind the future of commerce.”Alison Hofelich, Sr. Account Executive, Big Box Retail & Grocery 2. Content-led commerce Content is becoming increasingly pivotal in driving commerce, with retailers investing in shoppable video to stimulate conversations and foster customer engagement. While video may not always lead to immediate transactions, it can start dialogues, offering retailers a platform to enhance customer loyalty and influence future sales. Retailers talked about their focus on connecting with Gen Z on a deeper level. PacSun highlighted initiatives like the launch of a gender-fluid line and continuous engagement with young consumers via social media for feedback. Additionally, PacSun talked about embracing "conscious capitalism" by co-creating with influencers and customers, recognizing the growing consumer preference for brands that make a positive impact. By collaborating with influencers and using user-generated content, retailers can create authentic experiences that resonate with their customers. 3. Data privacy and trust With data playing a central role in retail strategies, ensuring data privacy, and building trust with consumers are imperative. Retailers must prioritize transparency and security to safeguard customer information and nurture long-term relationships. While the focus may currently be on capturing Gen Z market share, businesses need to anticipate shifts in consumer demographics and adapt their strategies accordingly. Using customer data in a privacy-compliant way enables retailers to implement effective personalization strategies that drive long-term engagement and loyalty. “Retail media networks were at the center of Shoptalk 2024. In addition to retail media networks, the seamless integration of data to enhance customer personalization and the rising importance of targeting Gen Z were recurring themes."Kai Rood, Account Executive, Retail Apparel 4. The time to embrace AI is now Technology continues to drive innovation in retail, with advancements in AI reshaping the shopping experience. From virtual try-ons to personalized product recommendations, retailers are using AI to engage consumers and enhance product discovery. Testing and learning are essential for AI implementation, as companies navigate the risks and rewards of technological innovation. Navigate the future of retail with Experian Shoptalk 2024 provided invaluable insights into the future of retail, highlighting the importance of retail media networks, content-led commerce, data privacy, and tech innovation. By embracing these trends and innovations, retailers can position themselves for success in an ever-evolving marketplace. At Experian, our solutions are tailored to empower businesses in navigating this dynamic landscape. Through our Consumer Sync solutions, we bridge the gap between online and in-store touchpoints, ensuring a unified strategy for reaching audiences across channels and evaluating campaign performance. Our Consumer View solutions enable you to tap into 5,000 demographic and behavioral attributes to fill in any gaps on your customer. Go beyond category buyers by combining your first-party data and Experian's top ranked data to build custom audiences that lead to higher ROI for your advertisers. Connect with a member of our team today to get started. Latest posts