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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 […]

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

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

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

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 […]

The post Turning Data into Insights: A Smarter Playbook for Mid-Size Businesses appeared first on DATAVERSITY.


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Author: Ken Ammon

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

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 […]

The post The Rise of BYOC: How Data Sovereignty Is Reshaping Enterprise Cloud Strategy appeared first on DATAVERSITY.


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Author: Tristan Stevens

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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Author: Gaurav Belani

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 […]

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

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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Author: Kartik Patel

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

Data Sips: Interview with Shannon Kempe


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 […]

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Author: DATAVERSITY News

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

How IT Leaders Can Fight Back Against Vendor Lock-In


Enterprise IT leaders are experiencing growing frustration with software vendors who wield excessive control over their technology roadmaps. From restrictive licensing agreements to forced upgrades and shifting support models, IT departments often find themselves at the mercy of vendors rather than in control of their own digital strategies. With so-called vendor lock-in on the rise, […]

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Author: Eric Helmer

The Biggest Data Backup Disasters of 2024 – and How to Avoid Them in 2025


For businesses everywhere, 2024 was a wake-up call – and not the gentle kind. Major data breaches and catastrophic outages made headlines, reminding us all that data backup isn’t a “nice-to-have” but rather a mission-critical strategy. Let’s recap the year:  These high-profile failures weren’t just cautionary tales; they were full-blown cautionary sagas. The key takeaway? […]

The post The Biggest Data Backup Disasters of 2024 – and How to Avoid Them in 2025 appeared first on DATAVERSITY.


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Author: Stefan Voss

Data Quality Metrics Best Practices


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 […]

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Author: Suresh P

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 […]

The post What to Expect in AI Data Governance: 2025 Predictions appeared first on DATAVERSITY.


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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 […]

The post AI Predictions for 2025: Embracing the Future of Human and Machine Collaboration appeared first on DATAVERSITY.


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Author: Philip Miller

Focusing on Data Privacy: Building Trust and Strengthening Security


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

Why the Growing Adoption of IoT Demands Seamless Integration of IT and OT


Over the past year, cyberattacks on cyber-physical systems (CPS) have cost organizations around the world at least $500,000, highlighting the growing financial and operational risks of compromised security. As artificial intelligence (AI) continues to emerge as a key driver in nearly every sector, the need for trustworthy, secure data becomes even more crucial. To address these challenges, […]

The post Why the Growing Adoption of IoT Demands Seamless Integration of IT and OT appeared first on DATAVERSITY.


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Author: Julian Durand

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