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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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Author: Krishna Subramanian

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

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

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

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

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

Combat Governance Dilution: The CGO Solution
The term “governance” has become so widely used that it has lost much of its impact and precision. Originally, governance referred to the frameworks and processes for formalized and effective organizational control and accountability. However, its frequent and broad application across various contexts — ranging from IT to corporate, data, information, and AI governance — […]


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Author: Robert S. Seiner

The Data Governance Wake-Up Call From the OpenAI Breach


Shockwaves reverberated throughout the political and tech ecosystems this summer when OpenAI – the creator of ChatGPT – admitted it had been breached. The breach, which involved an outsider gaining access to internal messaging systems, left many worried that a national adversary could do the same and potentially weaponize generative AI technologies. National security aside, the […]

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Author: Jessica Smith

Avoiding the Pitfalls: Don’t Rush Chatbot Deployment


AI has rapidly emerged as a status symbol for companies worldwide because it signifies innovation and a commitment to staying ahead of technological trends. This has prompted the critical question, “Who can implement it first?” by businesses eager to position themselves as leaders in the field and distinguish themselves from competitors lagging in the AI […]

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Author: Cláudio Rodrigues

Revolutionizing Healthcare Through Responsible AI Integration


In late 2023, significant attention was given to building artificial intelligence (AI) algorithms to predict post-surgery complications, surgical risk models, and recovery pathways for patients with surgical needs. This naturally elevated the appropriate debate of whether using AI in this manner would result in hospitals and providers prioritizing revenue from automation over excellence in patient […]

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Author: Archie Mayani

Responsible-First AI Governance: Addressing Ethical Concerns for Scalable Adoption


The world of artificial intelligence (AI) is evolving rapidly, bringing both immense potential and ethical challenges to the forefront. In this context, it is essential to remember that intelligence, when misused, can be graver than not having it at all. As AI technologies scale and become increasingly influential in various sectors, responsible governance becomes paramount […]

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Author: Rajsekhar Datta Roy

Fast-Tracking SEC Compliance with AI for GRC and Cybersecurity Disclosure


This year, the U.S. Securities and Exchange Commission (SEC) implemented rules on Cybersecurity Risk Management, Strategy, Governance, and Incident Disclosure for Public Companies. These rules require listed companies to disclose material cybersecurity incidents within four business days and provide ongoing disclosures related to cybersecurity risk management, strategy, and governance. As the December 15 compliance deadline […]

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Author: Prasad Sabbineni

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