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Oct 1 2025

Stop Feeding AI Junk: A Systematic Approach to Unstructured Data Ingestion

It’s go-time for enterprise AI. A PagerDuty global survey of 1,000 IT and business executives found that 62% of companies using agentic AI expect a return of 171% on average. But getting to ROI is no easy task. Recent surveys show mixed results on efforts thus far, with “getting strategies right” and “making data ‘AI-ready’” […]

The Good AI: Data Contracts for AI Transparency

“AI is only as trustworthy as the data that fuels it.” This statement has never been more relevant. AI systems now power decisions, affecting credit approvals, medical diagnoses, fraud detection, and countless other critical areas. Yet without transparency into data sources, quality, and lineage, AI can quickly become a black box — opaque, unpredictable, and […]

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Author: Subasini Periyakaruppan

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AI artificial intelligence compliance Data Blogs Data Education data governance Data Governance Blogs Data Governance News, Articles, & Education Data Management Blogs Data Management News, Articles, & Education data quality Data Topics ethics francis regulation compliance TDAN

Oct 1 2025

Strengthening Compliance with Better Data

Compliance today isn’t just about keeping pace with rules and regulations; it’s about keeping pace with culture. Globalization, geopolitical uncertainty, and rapid shifts in technology mean the risks companies face are more complex than ever. Yet too many organizations are still relying on legacy systems, outdated processes, and once-a-year, check-a-box training to protect their people […]

LLMs Are Rewriting the Rules of Behavioral Targeting

Marketers missed the real story while they scrambled to rebuild audience targeting without cookies: LLMs weren’t just changing how we write. They were rewriting the rules of how we understand consumer behavior online. The death of the third-party cookie was supposed to kill behavioral targeting. Instead, it’s about to become a lot smarter. The New […]

AI Governance Reaches an Inflection Point

A new survey of 1,250 data governance executives commissioned by OneTrust offers a detailed snapshot of how organizations are grappling with the realities of AI adoption. The findings are clear: Enterprise use of artificial intelligence has surged, but the governance structures required to manage it have not kept pace. As adoption accelerates, governance is no longer optional […]

The Next Frontier in Enterprise IT: Agentic AI That Takes Responsibility

Despite years of experimentation, most organizations agree: Artificial intelligence hasn’t remade the enterprise or shattered ROI goals — yet. In fact, McKinsey found that only about 1% of respondents in a recent survey believe they are at artificial intelligence maturity. 80% of respondents in a similar report failed to see a tangible ROI from generative AI.  The data above shows that AI system implementations from […]

Through the Looking Glass: Mahler, Creativity, and AI-Generated Music

It’s been just a few months since I checked off one of the top items on my bucket list. This past May, my wife and I traveled to London and Amsterdam. We built our trip around attending several concerts at the third-ever Gustav Mahler Festival [1]. We’d awoken at 3:30 a.m. back in February to […]

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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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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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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Optimizing retail operations through a practical data strategy

Given the pace of change in the retail sector, impactful decisions can be a competitive advantage, but many organizations are still in the dark. They’re not operating with actionable insights… trusting their gut to make decisions while keeping data in a silo. The solution? An all-inclusive data strategy that makes sense for the organization. This article […]

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Why Data Governance Still Matters in the Age of AI

At a recent conference, I witnessed something that’s become far too common in data leadership circles: genuine surprise that chief data officers consistently cite culture — not technology — as their greatest challenge. Despite a decade of research and experience pointing to the same root cause, conversations still tend to focus on tools rather than […]

A Leadership Blueprint for Driving Trusted, AI-Ready Data Ecosystems

As AI adoption accelerates across industries, the competitive edge no longer lies in building better models; it lies in governing data more effectively. Enterprises are realizing that the success of their AI and analytics ambitions hinges not on tools or algorithms, but on the quality, trustworthiness, and accountability of the data that fuels them. Yet, […]

The Book Look: Rewiring Your Mind for AI

I collect baseball and non-sport cards. I started collecting when I was a kid, stopped for about 40 years, and returned to collecting again, maybe as part of a mid-life crisis. I don’t have the patience today though, that I had when I was 12. For example, yesterday I wanted to find out the most […]

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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The Role of AI in Mitigating Next-Generation Cyber Threats

The digital age has witnessed an exponential increase in data creation and interconnectivity, resulting in unprecedented challenges in cybersecurity. Businesses, governments, and individuals are perpetually at risk of cyber-attacks ranging from data breaches and financial theft to espionage and infrastructure sabotage. While necessary, traditional cybersecurity measures are often reactive rather than proactive, struggling to adapt […]

AI and Business Transformation: Balancing Innovation and Control

AI is no longer just a concept or a futuristic tool. It’s here and it’s likely already integrated into many aspects of your business, potentially in ways you might not even realize. AI’s potential to transform how we operate, deliver services, and optimize workflows offers significant benefits, but it also comes with responsibilities — and […]

AI’s Newest Employee: Who Bears the Burden of Your Digital Co-Workers?

Digital co-workers are no longer hypothetical. AI-driven agents (“Agentics”) are creeping into every function, every decision process, and every interaction within organizations. In some ways, they are the executive dream — they don’t need coffee breaks, demand raises, or call in sick. And yet, they’re reshaping work in ways few leaders are prepared to handle. […]

Through the Looking Glass: Technology Solutions in Search of a Problem

When I read about new technologies, I often think of the movie “Field of Dreams.” The protagonist builds a baseball field in the middle of a corn field because he hears a voice. “If you build it, they will come.” In the movie’s case, “they” are ghostly baseball players. For technology companies, “they” are businesses […]

All in the Data: Too Soon for Q Governance?

Quantum computing, with its groundbreaking capabilities, is poised to redefine how organizations solve complex problems and innovate in ways previously unimaginable. As industries begin to explore its potential, a pressing question emerges: Are we ready to govern this new frontier? Much like the evolution of AI necessitated AI governance, quantum computing demands its own variation […]

The Book Look: AI & The Data Revolution

I am just going to start off by saying that I am a Laura Madsen fan. Her writing style combines laugh-out-loud humor with practical experience, making her books both enjoyable and educational. Even some of the book’s subheadings, like “Let’s Not Do Dumb Stuff Faster” and “Kwality Is Job One,” made me laugh out loud. […]

Legal Issues for Data Professionals: In AI, Data Itself Is the Supply Chain

Data is the supply chain for AI. For generative AI, even in fine-tuned, company-specific large language models, the data that is input into training data comes from a host of different sources. If the data from any given source is unreliable, then the training data will be deficient and the LLM output will be untrustworthy. […]

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Author: William A. Tanenbaum and Isaac Greaney

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Dec 4 2024

Through the Looking Glass: What Does Data Quality Mean for Unstructured Data?

I go to data conferences. Frequently. Almost always right here in NYC. We have lots of data conferences here. Over the years, I’ve seen a trend — more and more emphasis on AI. I’ve taken to asking a question at these conferences: What does data quality mean for unstructured data? This is my version of […]

Why GenAI Won’t Change the Role of Data Professionals

The recent rise of GenAI has sparked numerous discussions across industries, with many predicting revolutionary changes across a broad range of professional landscapes. While the processes data professionals use and the volume of work they can sustain will change because of GenAI, it will not fundamentally change their roles. Instead, it will enhance their abilities, […]

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The AI Chasm: Bridging the Divide Between Research and Real-World Applications

Imagine a world where AI can accurately predict earthquakes, giving us precious time to save lives. Yet, the same technology struggles to understand essential voice commands through your home assistant during a noisy family dinner. This striking dichotomy between the potential of cutting-edge AI research and its often underwhelming real-world applications underscores a significant yet […]

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Author: Srinivasa Rao Bogireddy

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Category Archives: artificial intelligence