Leaders need to trust data within the organization to make sound business decisions. So, many turn to master data management (MDM), a solution to get and keep uniform and accurate data that increases business value. Yet, according to Gartner, 75% of all MDM programs across organizations fail to meet business objectives. Moreover, this trend has worsened since 2015, […]
Are Data Marketplaces the Future of AI?
AI is hungry for data. But while the algorithms get smarter, the supply chain that feeds them – called data marketplaces – is quietly reshaping how we build AI models. In the past, acquiring the right datasets was an arduous process marked by silos, proprietary agreements, and endless data wrangling. Now, with the rise of digital platforms […]
Mind the Gap: The Many Faces of ChatGPT in the Mirror
One of the most significant areas of data ethics concern is bias in generative AI models. Concerns about algorithmic bias are not new. Associative model (i.e., neural network) bias is not new. Even the ceding of consequential decisions to these models is not new. Just a few examples: AI is used to screen resumes and evaluate […]
Future-Proofing AI Under a Federal Umbrella: What a 10-Year State Regulation Freeze Means
The federal government’s proposal to impose a 10-year freeze on state-level AI regulation isn’t happening in a vacuum but in direct response to California. The state’s AI Accountability Act (SB 1047) has been making waves for its ambition to hold developers of powerful AI models accountable through mandatory safety testing, public disclosures, and the creation of a new regulatory […]
External Data Strategy: From Vision to Vendor Selection (Part 1)
In today’s data-driven business environment, the ability to leverage external information sources has become a critical differentiator between market leaders and laggards. Organizations that successfully harness external data don’t just gather more information – they transform how they understand their customers, anticipate market shifts, and identify growth opportunities. However, the path from recognizing the need for […]
Informatica Demo: Accelerate Your AI Governance Journey
Download the slides here >> AI governance is quickly becoming a critical extension of data governance in the enterprise, addressing the unique risks and complexities introduced by AI systems. But while data governance ensures data quality, integrity, and compliance, AI governance further builds on this foundation to drive how that data is used in model […]
Precisely Demo: AI Governance Is No Different – or Is It?
Download the slides here >> The answer is yes — and no. Our upcoming demo highlights a cutting-edge, flexible, and adaptable data governance solution tailored for AI governance. The solution is easily configurable to meet stringent regulatory standards, and we’ll share best practices that align with the latest global requirements — including the EU AI Act. […]
RWDG Webinar: The Future of Data Stewardship – Trends and Innovations
Download the slides here >> About the Webinar Data stewardship is evolving, and staying ahead of the curve is essential for any governance program. This webinar will explore the latest trends and innovations shaping the future of data stewardship and how you can harness them to enhance your organization’s data governance efforts. Bob Seiner will […]
Improving Data Quality Using AI and ML
In our fast-paced, interconnected digital world, data is truly the heartbeat of how organizations make decisions. However, the rapid explosion of data in terms of volume, speed, and diversity has brought about significant challenges in keeping that data reliable and high-quality. Relying on traditional manual methods for data governance just doesn’t cut it anymore; in […]
Data Governance and AI Governance: Where Do They Intersect?
Artificial intelligence (AI) is transforming businesses and industries worldwide with new data products and services. A recent Stanford University AI Index Report found that about 78% of companies were using AI in at least one business unit or function in 2024, up from 55% the previous year. To get the best results, organizations need to connect AI and its […]