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Jul 1 2025

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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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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External Data Strategy: From Vision to Vendor Selection (Part 1)

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 […]

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Author: Subasini Periyakaruppan

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AI AIOps Data Blogs | Information From Enterprise Leaders Data Education DATAVERSITY DevOps Enterprise Information Management Information Management Blogs Smart Data Blogs Smart Data News, Articles, & Education

Jun 26 2025

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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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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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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Rethinking Data-Driven Leadership

After reading a piece a while back on why people “don’t trust data, they only trust other people,” I found myself agreeing — but also seeing another side to the story. In my experience, leaders don’t trust data directly — they trust the story data helps them tell. Sometimes that story reinforces what they already […]

Data Is Risky Business: Sustainability and Resilience in Data Governance

This quarter’s column is co-authored with Anthony Mazzarella, a fellow practitioner-academic doing research into what makes data governance “tick.” There has been a lot of commentary on social media and elsewhere in recent months about how data governance has failed and how we need to reframe the discussion on what it means to govern data, […]

Thoughts on the DAMA DMBoK

Many years ago, I contributed material on Database Development and Database Operations Management to the first edition of DAMA International’s “Data Management Body of Knowledge” (the DAMA DMBoK).i Now that work has begun on the Third Edition of the DMBoK, I’d like to share a few thoughts and critiques on the DMBoK for consideration. Some […]

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 […]

Legal Issues for Data Professionals: Preventive Healthcare and Data

This column addresses the role of data in the field of healthcare known as “preventive healthcare.” Preventive healthcare is undergoing changes as data increases its scope and the role it plays in healthcare. What Is Preventive Healthcare and Its Data? For the purpose of this article, traditional healthcare refers to patient care received from a […]

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 […]

Turning Data into Insights: A Smarter Playbook for Mid-Size Businesses

In today’s hyper-competitive economy, data is a critical asset that drives innovation, strategic decision-making, and competitive advantage. However, for many mid-sized organizations, turning raw data into actionable business intelligence (BI) is challenging. The rapid pace of technological advancements, coupled with increasingly complex data environments, presents significant hurdles, particularly for those with limited resources to build […]

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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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The Rise of BYOC: How Data Sovereignty Is Reshaping Enterprise Cloud Strategy

Enterprise technology leaders face mounting pressure to balance competing priorities. Cloud platforms offer unprecedented innovation, potential, and scale, but regulatory compliance requirements and data control mandates create friction when trying to consolidate everything in a public cloud. And shifting to a full SaaS environment just gives up too much control for these large companies, creating […]

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Real-Time Financial Data: Transforming Decision-Making in the Banking Sector

Think of a bank’s treasurer responsible for international cash movement across its global accounts. He receives a notification that a significant amount has been credited to one of the accounts in Asia. A few minutes later, the funds have been transferred to clear up a cash requirement on the other side of the world in Europe. […]

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Ask a Data Ethicist: How Do Technical Data Choices in ML Lead to Ethical Issues?

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 […]

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Analytics and Citizen Data Scientists Ensure Business Advantage

Do you want your business users to embrace and use analytics? You want your business to enjoy the benefits of fact-based decision making? You want your business to use the tools of business intelligence to improve market presence, customer satisfaction and team productivity and collaboration? A scarcity of data scientists will no longer hinder the […]

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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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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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Is the Scope of Data Governance Enough?

Data governance has long been the backbone of responsible data management, ensuring that organizations maintain high standards in data quality, security, and compliance. According to Jonathan Reichental in “Data Governance for Dummies,” the scope of governance extends well beyond data ownership and stewardship. It encompasses metadata, data architecture, master and reference data management, storage, integration, […]

Continuous Delivery for Data Pipelines: A Practical Guide

What Is Continuous Delivery? Continuous delivery (CD) refers to a software engineering approach where teams produce software in short cycles, ensuring that software can be reliably released at any time. Its main goals are to build, test, and release software faster and more frequently. This process typically involves deploying every change to a production-like environment […]

The Data-Centric Revolution: The Year of the Knowledge Graph

Signals are converging and leading me to believe that 2025 is the Year of the Knowledge Graph. But before we get carried away with this prognosis, let’s review some of the previous Year of the Knowledge Graph candidates and see why they didn’t work out. 2001 The first candidate for the Year of the Knowledge […]

Through the Looking Glass: On the Data (and Lack of Such) About Busking

I started playing cello in fourth grade, in the suburbs of Hartford, Conn. I can’t remember when I discovered that musicians played in the New York City streets and subways. But I recall that by high school, I had decided that would be the absolute coolest thing to do. Sometime later, I learned that this […]

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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Category Archives: Data Education