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Comparing EU and U.S. State Laws on AI: A Checklist for Proactive Compliance


The global market for artificial intelligence is evolving under two very different legal paradigms. On one side, the European Union has enacted the AI Act, the first comprehensive and enforceable regulatory regime for AI, applicable across all member states and with far-reaching extraterritorial scope. On the other, the United States continues to advance AI oversight primarily at the state level, resulting in a patchwork of rules that vary in focus, definitions, and enforcement…

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Author: Fahad Diwan

Ask a Data Ethicist: How Does the Use of AI Impact People’s Perceptions of You?


Last October, I wrote a column about the use of generative AI in producing a professional service. I pondered the question of whether or not others’ knowledge about the use of AI in producing a professional service – such as legal work, consulting, or creative work –  would devalue the service. My hypothesis was that […]

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Author: Katrina Ingram

Mind the Gap: Agentic AI and the Risks of Autonomy


The ink is barely dry on generative AI and AI agents, and now we have a new next big thing: agentic AI. Sounds impressive. By the time this article comes out, there’s a good chance that agentic AI will be in the rear-view mirror and we’ll all be chasing after the next new big thing. […]

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Author: Mark Cooper

Why Business-Critical AI Needs to Be Domain-Aware


We stand at a pivotal moment. Generative AI, with its large language models (LLMs) and retrieval-augmented generation (RAG) systems, promises to revolutionize how industries operate. We’ve all seen the impressive demos that can summarize articles, write code, or draft marketing copy. But when the stakes are high and an error could lead to a financial […]

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Author: Andreas Blumauer

Book of the Month: “Rewiring Your Mind for AI” 


This month, we’re reviewing “Rewiring Your Mind for AI” by David Wood. In this book, Dr. Wood shows us how to think differently to leverage the benefits of artificial intelligence (AI).  The book first sets us up to think in terms of growth mindsets instead of limiting mindsets – starting with some anecdotes about how calculators and […]

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Author: Mark Horseman

How to Overcome Five Key GenAI Deployment Challenges


Generative AI (GenAI) continues to provide significant business value across many use cases and industries. But despite the many successful customer experiences, GenAI is also proving to be challenging for some businesses to get right and deploy across their organizations in full production. As a result, plenty of projects are getting stuck in planning, experimentation, […]

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Author: Jim Johnson

Open Data Fabric: Rethinking Data Architecture for AI at Scale


Enterprise AI agents are moving from proof-of-concept to production at unprecedented speed. From customer service chatbots to financial analysis tools, organizations across various industries are deploying agents to handle critical business functions. Yet a troubling pattern is emerging; agents that perform brilliantly in controlled demos are struggling when deployed against real enterprise data environments. The problem […]

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Author: Prat Moghe

No PhD? No Problem: How Accessible AI Is Making Data Science Everyone’s Business


Not long ago, manipulating large datasets, training machine learning models, or visualizing results required advanced programming skills and specialized statistical knowledge.  Today, intuitive AI tools and natural language interfaces are allowing nearly everyone – not just data scientists, engineers, and technical experts – to analyze and act on data. In fact, nearly 8 in 10 organizations now […]

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Author: Rosaria Silipo

The Data Danger of Agentic AI


Agentic AI represents a significant evolution beyond traditional rule-based AI systems and generative AI, offering unprecedented autonomy and transformative potential across various sectors. These sophisticated systems can plan, decide, and act independently, promising remarkable advances in efficiency and decision-making.  However, this high degree of autonomy, when combined with poorly governed or flawed data, can lead […]

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Author: Samuel Bocetta

How to Future-Proof Your Data and AI Strategy


With AI systems reshaping enterprises and regulatory frameworks continuously evolving, organizations face a critical challenge: designing AI governance that protects business value without stifling innovation. But how do you future-proof your enterprise for a technology that is evolving at such an incredible pace? The answer lies in building robust data foundations that can adapt to whatever comes […]

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Author: Ojas Rege

Everything You Need to Know About Synthetic Data


Synthetic data sounds like something out of science fiction, but it’s fast becoming the backbone of modern machine learning and data privacy initiatives. It enables faster development, stronger security, and fewer ethical headaches – and it’s evolving quickly.  So if you’ve ever wondered what synthetic data really is, how it’s made, and why it’s taking center […]

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Author: Nahla Davies

Beyond Pilots: Reinventing Enterprise Operating Models with AI


The enterprise AI landscape has reached an inflection point. After years of pilots and proof-of-concepts, organizations are now committing unprecedented resources to AI, with double-digit budget increases expected across industries in 2025. This isn’t merely about technological adoption. It reflects a deep rethinking of how businesses operate at scale. The urgency is clear: 70% of the software used […]

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Author: Gautam Singh

Reimagining Data Architecture for Agentic AI


As agentic AI and autonomous systems transform the enterprise landscape, organizations face a new imperative: Fundamentally reimagining data architecture is no longer optional; it’s required for AI success. Many enterprises are coming to the realization that traditional data architectures, which are built for structured data and deterministic workloads, are ill-equipped to support agentic AI’s demands […]

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Author: Tami Fertig

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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Author: Dev Nag

Why and How to Enhance DevOps with AIOps


AIOps, the practice of enhancing IT and DevOps with help from artificial intelligence and machine learning, is not an especially new idea. It has been nearly a decade since Gartner coined the term in 2016. Yet, the growing sophistication of AI technology is making AIOps much more powerful. Gone are the days when AIOps was mostly a […]

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Author: Derek Ashmore

Deploying AI Models in Clinical Workflows: Challenges and Best Practices


The global healthcare AI market is projected to grow from $32.34 billion in 2024 to $431 billion by 2032. It is evident that artificial intelligence (AI) is transforming the healthcare sector, one workflow at a time. Even so, hospitals and clinics struggle to successfully integrate the technology into their workflows, as real-world deployment is fraught […]

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Author: Gaurav Belani

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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Author: Udaya Veeramreddygari

Generative AI Calls for a Master Class in Enterprise Storage


The data that is stored in vector databases is key to the success of generative AI (GenAI) for enterprises in all industries. Up-to-date, private data in company data sources, including unstructured data and structured data, is what is required during AI inferencing to make GenAI models more accurate and relevant.  To make the data systematically […]

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Author: Eric Herzog

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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Author: Mark Cooper

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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Author: Daniel Avancini

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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Author: Philip Miller

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

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

AI Predictions for 2025: Embracing the Future of Human and Machine Collaboration


Predictions are funny things. They often seem like a bold gamble, almost like trying to peer into the future with the confidence we inherently lack as humans. Technology’s rapid advancement surprises even the most seasoned experts, especially when it progresses exponentially, as it often does. As physicist Albert A. Bartlett famously said, “The greatest shortcoming […]

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Author: Philip Miller