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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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Author: DATAVERSITY News

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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Author: Irina Steenbeck

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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Author: Cameron Ogden

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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Author: Suresh P

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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Author: Krishna Subramanian

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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Author: Dorababu Nadella

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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Author: Amol Dalvi

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

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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Author: Tara DeZao

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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Author: Katrina Ingram

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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Author: Mark Cusack

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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Author: Matheus Dellagnelo

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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Author: Mark Horseman

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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Author: Alok Abhishek

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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Author: Todd Fisher

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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Author: Bryan Eckle

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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Author: Neville Pattinson

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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Author: Mark Horseman

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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Author: Gopi Maren

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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Author: Rehan Jalil

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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Author: Jackson Shaw

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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Author: Eric Crane

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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Author: Stephen Kaufman

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