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Author: Christine Haskell
In Part 1 of this series, we established the strategic foundation for external data success: defining your organizational direction, determining specific data requirements, and selecting the right data providers. We also introduced the critical concept of external data stewardship — identifying key stakeholders who bridge the gap between business requirements and technical implementation. This second part […]
The post External Data Strategy: Governance, Implementation, and Success (Part 2) appeared first on DATAVERSITY.
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Author: Subasini Periyakaruppan
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 […]
The post Future-Proofing AI Under a Federal Umbrella: What a 10-Year State Regulation Freeze Means appeared first on DATAVERSITY.
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Author: Dev Nag
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 […]
The post External Data Strategy: From Vision to Vendor Selection (Part 1) appeared first on DATAVERSITY.
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Author: Subasini Periyakaruppan
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 […]
The post Improving Data Quality Using AI and ML appeared first on DATAVERSITY.
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Author: Udaya Veeramreddygari
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Author: Larry Burns
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 […]
The post Ask a Data Ethicist: How Do Technical Data Choices in ML Lead to Ethical Issues? appeared first on DATAVERSITY.
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Author: Katrina Ingram
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 […]
The post Mind the Gap: AI-Driven Data and Analytics Disruption appeared first on DATAVERSITY.
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Author: Mark Cooper
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 […]
The post Why and How to Unlock Proprietary Data to Drive AI Success appeared first on DATAVERSITY.
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Author: Daniel Avancini
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. […]
The post Unlocking Unstructured Data: Fueling AI with Insights appeared first on DATAVERSITY.
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Author: Philip Miller
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 […]
The post Data Sips: Interview with Shannon Kempe appeared first on DATAVERSITY.
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Author: DATAVERSITY News
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 […]
The post DGIQ + AIGov Conference: Takeaways and Trending Topics in Data Quality appeared first on DATAVERSITY.
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Author: Irina Steenbeck
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, […]
The post Unlocking AI Success: Creating a Winning Data Strategy appeared first on DATAVERSITY.
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Author: Cameron Ogden
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 […]
The post Data Quality Metrics Best Practices appeared first on DATAVERSITY.
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Author: Suresh P
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Author: Larry Burns
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 […]
The post What to Expect in AI Data Governance: 2025 Predictions appeared first on DATAVERSITY.
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Author: Krishna Subramanian
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 […]
The post Focusing on Data Privacy: Building Trust and Strengthening Security appeared first on DATAVERSITY.
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Author: Dorababu Nadella
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 […]
The post From Input to Insight: How Quality Data Drives AI and Automation appeared first on DATAVERSITY.
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Author: Amol Dalvi
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? […]
The post Delivering Personalized Recommendations Without Sacrificing User Privacy appeared first on DATAVERSITY.
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Author: Ganapathy Subramanian Ramachandran
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 […]
The post Beyond Ownership: Scaling AI with Optimized First-Party Data appeared first on DATAVERSITY.
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Author: Tara DeZao
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 […]
The post Ask a Data Ethicist: How Can You Learn More About Data and AI Ethics? appeared first on DATAVERSITY.
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Author: Katrina Ingram
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 […]
The post Navigating the Complex Landscape of Data Sovereignty appeared first on DATAVERSITY.
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Author: Mark Cusack
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 […]
The post 5 Data Management Tool and Technology Trends to Watch in 2025 appeared first on DATAVERSITY.
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Author: Matheus Dellagnelo
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 […]
The post Book of the Month: “AI Governance Comprehensive” appeared first on DATAVERSITY.
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Author: Mark Horseman
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, […]
The post Technical and Strategic Best Practices for Building Robust Data Platforms appeared first on DATAVERSITY.
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Author: Alok Abhishek