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Dec 17 2024

What to Expect in AI Data Governance: 2025 Predictions

In 2025, preventing risks from both cyber criminals and AI use will be top mandates for most CIOs. Ransomware in particular continues to vex enterprises, and unstructured data is a vast, largely unprotected asset. AI solutions have moved from experimental to mainstream, with all the major tech companies and cloud providers making significant investments in […]

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Focusing on Data Privacy: Building Trust and Strengthening Security

In today’s digital age, managing and minimizing data collection is essential for maintaining business security. Prioritizing data privacy helps organizations ensure they only gather necessary information, reducing the risk of data breaches and misuse. This approach addresses potential vulnerabilities at their source, mitigating the impact of breaches and avoiding regulatory penalties as scrutiny over privacy […]

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From Input to Insight: How Quality Data Drives AI and Automation

More and more enterprises are looking to automation and AI to deliver new efficiencies and give their organizations an edge in the market. Data is the engine that powers both automation and AI. But data must be clean and user-friendly for these systems to work effectively and deliver on their promise. Lots of organizations are […]

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Delivering Personalized Recommendations Without Sacrificing User Privacy

In today’s fast-paced digital landscape, we all love a little bit of personalization. Whether it’s Netflix suggesting our next binge-worthy show or Spotify curating our playlists, these tailored experiences make us feel understood and valued. But with growing concerns around user privacy, how can companies achieve this level of personalization without compromising our personal data? […]

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Author: Ganapathy Subramanian Ramachandran

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Dec 10 2024

Beyond Ownership: Scaling AI with Optimized First-Party Data

Brands, publishers, MarTech vendors, and beyond recently gathered in NYC for Advertising Week and swapped ideas on the future of marketing and advertising. The overarching message from many brands was one we’ve heard before: First-party data is like gold, especially for personalization. But it takes more than “owning” the data to make it valuable. Scale and accuracy […]

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Ask a Data Ethicist: How Can You Learn More About Data and AI Ethics?

It was about this time last year that I pitched the team at DATAVERSITY the idea of this monthly column on data ethics. There’s certainly been no shortage of interesting questions to cover and I’ve enjoyed writing about both the practical and more philosophical aspects of this topic. As we wrap up this year and […]

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Navigating the Complex Landscape of Data Sovereignty

In today’s rapidly evolving global landscape, data sovereignty has emerged as a critical challenge for enterprises. Businesses must adapt to an increasingly complex web of requirements as countries around the world tighten data regulations in an effort to ensure compliance and protect against cyberattacks. Data sovereignty regulations significantly impact an organization’s ability to conduct data […]

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5 Data Management Tool and Technology Trends to Watch in 2025

The market surrounding data management tools and technologies is quite mature. After all, the typical business has been making extensive use of data to help streamline its operations and decision-making for years, and many companies have long had data management tools in place. But that doesn’t mean that little is happening in the world of […]

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Book of the Month: “AI Governance Comprehensive”

Welcome to December 2024’s “Book of the Month” column. This month, we’re featuring “AI Governance Comprehensive: Tools, Vendors, Controls, and Regulations” by Sunil Soares, available for free download on the YourDataConnect (YDC) website. This book offers readers a strong foundation in AI governance. While the emergence of generative AI (GenAI) has brought AI governance to […]

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Technical and Strategic Best Practices for Building Robust Data Platforms

In the AI era, organizations are eager to harness innovation and create value through high-quality, relevant data. Gartner, however, projects that 80% of data governance initiatives will fail by 2027. This statistic underscores the urgent need for robust data platforms and governance frameworks. A successful data strategy outlines best practices and establishes a clear vision for data architecture, […]

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Chatbot Quality Control: Why Data Hygiene Is a Necessity

The rush is on to deploy chatbots. Chatbots rely on data to power their outputs; however, companies that prioritize data quantity over quality risk creating systems that produce unreliable, inappropriate, and simply incorrect responses. Success in this field depends on rigorous data standards and ongoing quality control rather than simply accumulating more training data. When […]

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Essential Components for Effective Data Management in the AI Era

Imagine a world where your data not only tells a story but also anticipates your next move – this is the promise of effective data management in the AI era. As organizations try to deal with vast amounts of information, three key components have emerged as essential for unlocking the full potential of data: metadata, […]

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Data Errors in Financial Services: Addressing the Real Cost of Poor Data Quality

Data quality issues continue to plague financial services organizations, resulting in costly fines, operational inefficiencies, and damage to reputations. Even industry leaders like Charles Schwab and Citibank have been severely impacted by poor data management, revealing the urgent need for more effective data quality processes across the sector. Key Examples of Data Quality Failures — […]

New Tools, New Tech, Same Roadblocks: Data Governance in the Age of AI

Organizations are racing to adopt AI for its promise of efficiency and insights, yet the path to successful AI integration remains fraught with obstacles. Despite advancements in tools like ChatGPT and Google’s Gemini, fundamental issues with data governance – such as high costs, poor data quality, and security concerns – continue to hinder progress. Stop me […]

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Identity as Infrastructure: Why Digital Identities Are Crucial and How to Secure Their Data

Whether it’s building roads or optimizing power supplies, investing in infrastructure is vital to the safety and efficiency of nations and organizations. And in today’s digital age, this investment must extend to establishing trusted identities for all. Identity is foundational for a robust public infrastructure, initiating substantial economic growth – like using driver’s licenses to […]

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Book of the Month: “AI & The Data Revolution”

Welcome to October 2024’s edition of “Book of the Month.” This month, we’re enjoying some time in the fall sun and the local library diving into Laura Madsen’s “AI & The Data Revolution.” The central theme of this book is the management and impact of artificial intelligence (AI) disruption in the workplace. Madsen shares her […]

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Data Crime: Cartoon Signatures

I call it a “data crime” when someone is abusing or misusing data. When we understand these stories and their implications, it can help us learn from the mistakes and prevent future data crimes. The stories can also be helpful if you must explain the importance of  data management to someone.  The Story The state of Rhode […]

Unleashing the Power of People and Culture: The Ultimate Drivers of Data Governance Success

In the high-stakes world of data governance, where organizations strive to protect and leverage their most valuable asset, one truth stands out: technology alone won’t get you there. The secret sauce? People and culture. They are the lifeblood of any successful data governance strategy, the pulse that drives data literacy, and the force that propels […]

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AI-Powered Data Preparation: The Key to Unlocking Powerful AI Use Cases

Generative AI (GenAI), specifically as it pertains to the public availability of large language models (LLMs), is a relatively new business tool, so it’s understandable that some might be skeptical of a technology that can generate professional documents or organize data instantly across multiple repositories. On the one hand, AI-powered data preparation sounds too good to be […]

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Unstructured Data Hinders Safe GenAI Deployment

Enterprises are going all in on generative AI (GenAI), with the technology driving a massive 8% increase in worldwide IT spending this year, according to Gartner. But just because businesses are investing in GenAI doesn’t mean they’re broadly implementing it in actual production. Organizations are eager to wield the power of GenAI. However, deploying it safely […]

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The Trouble with AI and Identity

Artificial Intelligence (AI) has earned a reputation as a silver bullet solution to a myriad of modern business challenges across industries. From improving diagnostic care to revolutionizing the customer experience, many industries and organizations have experienced the true transformational power of AI. However, that’s not the case for the masses. Organizations that view AI as […]

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Charting a Course Through the Data Mapping Maze in Three Parts

Companies are dealing with more data sources than ever – sales figures, customer profiles, inventory updates, you name it. Data professionals say, on average, data volumes are growing by 63% per month in their organizations. Data teams are struggling to ensure all that data hangs together across systems and is accurate and consistent. Bad data is bad […]

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Data Crime: Your Phone Isn’t Here

I call it a “data crime” when someone is abusing or misusing data. When we understand these stories and their implications, it can help us learn from the mistakes and prevent future data crimes. The stories can also be helpful if you must explain the importance of data management to someone. The Story Last year, a […]

The Journey to Sustainability: How PIM Helps Brands Get Their Data in Order

In today’s economy, sustainability is no longer a buzzword but a business imperative. From clothing to dog food, cleaning supplies to packaging, buyers increasingly seek brands and manufacturers that prioritize transparent and environmentally responsible business practices. They want to know where the products they buy are sourced from, the carbon footprint of production, how recyclable […]

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It’s Not the Tools, It’s the Culture: How to Roll Out Data Democratization

You want to implement data democratization, so you deployed all the new tooling and data infrastructure. You have a data catalog to manage metadata and ensure data lineage and a data marketplace to enable data discovery and self-service analytics. You’ve invested in the latest technologies to enable full self-service operation. The data management architecture you […]

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Category Archives: Data Governance Blogs