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Jun 30 2025

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 […]

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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 […]

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Author: Subasini Periyakaruppan

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Jun 20 2025

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 […]

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Ask a Data Ethicist: How Do Technical Data Choices in ML Lead to Ethical Issues?

A lot of times, ethical issues in AI systems arise from the most mundane types of decisions made about data such as how it is processed and prepared for machine learning (ML) projects. I’ve been reading Designing Machine Learning Systems by Chip Huyen, which is filled with practical advice about design choices in machine learning […]

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Mind the Gap: AI-Driven Data and Analytics Disruption

We are at the threshold of the most significant changes in information management, data governance, and analytics since the inventions of the relational database and SQL. Most advances over the past 30 years have been the result of Moore’s Law: faster processing, denser storage, and greater bandwidth. At the core, though, little has changed. The basic […]

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Why and How to Unlock Proprietary Data to Drive AI Success

These days, virtually every company is using AI – and in most cases, they’re using it through off-the-shelf AI technologies, like Copilot, that offer the same capabilities to every customer. This begs the question: How can a business actually stand out in the age of AI? Rather than just adopting AI as a way of keeping […]

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Unlocking Unstructured Data: Fueling AI with Insights

IDC reports that around 90% of the data in the digital world is unstructured. This encompasses data like PDFs, PowerPoints, emails and images, all containing valuable information that traditional structured databases can’t gather. As artificial intelligence (AI) becomes more widespread, the importance of unstructured data grows. Businesses now face the challenge of organizing and utilizing these diverse data sources so AI models can fully leverage their potential, which is much easier said than done. […]

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Data Sips: Interview with Shannon Kempe

Data Sips is a new video miniseries presented by Ippon Technologies and DATAVERSITY that showcases quick conversations with industry experts from last month’s Data Governance & Information Quality (DGIQ) Conference in Washington, D.C. The final episode of the Data Sips series features Shannon Kempe, DATAVERSITY’s chief digital officer, chatting with host Steve MacLauchlan, head of data at […]

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DGIQ + AIGov Conference: Takeaways and Trending Topics in Data Quality

In this series of blog posts, I aim to share some key takeaways from the DGIQ + AIGov Conference 2024 held by DATAVERSITY. These takeaways include my overall professional impressions and a high-level review of the most prominent topics discussed in the conference’s core subject areas: data governance, data quality, and AI governance. In the first blog post of […]

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Unlocking AI Success: Creating a Winning Data Strategy

AI has the power to transform industries by analyzing massive datasets and automating complex processes. However, AI’s effectiveness is directly tied to the integrity of the data fueling it. Data governance is required to drive accountability around privacy and ethics, while poor quality data results in inaccurate AI outcomes, leading to customer dissatisfaction, delayed decisions, […]

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Data Quality Metrics Best Practices

The amount of data we deal with has increased rapidly (close to 50TB, even for a small company), whereas 75% of leaders don’t trust their data for business decision-making. Though these are two different stats, the common denominator playing a role could be data quality. With new data flowing from almost every direction, there must be a yardstick or […]

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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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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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Future-Proofing AI Under a Federal Umbrella: What a 10-Year State Regulation Freeze Means

External Data Strategy: From Vision to Vendor Selection (Part 1)

Improving Data Quality Using AI and ML

Ask a Data Ethicist: How Do Technical Data Choices in ML Lead to Ethical Issues?

Mind the Gap: AI-Driven Data and Analytics Disruption

Why and How to Unlock Proprietary Data to Drive AI Success

Unlocking Unstructured Data: Fueling AI with Insights

Data Sips: Interview with Shannon Kempe

DGIQ + AIGov Conference: Takeaways and Trending Topics in Data Quality

Unlocking AI Success: Creating a Winning Data Strategy

Data Quality Metrics Best Practices

What to Expect in AI Data Governance: 2025 Predictions

Focusing on Data Privacy: Building Trust and Strengthening Security

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

Delivering Personalized Recommendations Without Sacrificing User Privacy

Beyond Ownership: Scaling AI with Optimized First-Party Data

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

5 Data Management Tool and Technology Trends to Watch in 2025

Book of the Month: “AI Governance Comprehensive”

Technical and Strategic Best Practices for Building Robust Data Platforms

Chatbot Quality Control: Why Data Hygiene Is a Necessity

Essential Components for Effective Data Management in the AI Era

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

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

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