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Identifying and Addressing Data Overload
Increased data generation requires modern businesses to manage vast volumes of information. All this data holds immense potential for insights and informed decision-making, but its value depends on effective utilization. Without the right tools, frameworks, and strategies, even established companies risk being overwhelmed by data overload.  Let’s take a closer look at data overload and […]


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Author: Irfan Gowani

The Data-Centric Revolution: Putting Knowledge Into Our Knowledge Graphs
I recently gave a presentation called “Knowledge Management and Knowledge Graphs” at a KMWorld conference, and a new picture of the relationship between knowledge management and knowledge graphs gradually came into focus. I recognized that the knowledge graph community has gotten quite good at organizing and harmonizing data and information, but there is little knowledge […]


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Author: Dave McComb

The Challenges of Data Migration: Ensuring Smooth Transitions Between Systems
Data migration — the process of transferring data from one system to another — is a critical undertaking for organizations striving to upgrade infrastructure, consolidate systems, or adopt new technologies.   However, data migration challenges can be very complex, especially when doing large-scale data migration projects.   Duplicate or missing data, system compatibility issues, data security problems, […]


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Author: Ainsley Lawrence

Cybersecurity Strategies for Insurers: Protecting Data in the Digital Age
We’ve become numb to the headlines. Data breaches happen almost daily, making cybersecurity a top priority for insurers. With its vaults of personal and financial data, the insurance industry is a prime target for cybercriminals. This blog post will explore effective cybersecurity strategies for insurers, highlighting real-world cases and spotlighting new technologies reshaping the cybersecurity […]


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Author: Christine Haskell

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

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 […]

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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, […]

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Author: Julian Durand

Modern Data Archiving: Managing Explosive Unstructured Data Growth


As unstructured data creation rates have soared, the timeframe for active use of data has shrunk due to edge computing, IoT systems, machine-generated data, and, let’s not forget, GenAI. The data use period today has largely been reduced to around 30 to 90 days before the flood of new data appearing makes the existing data […]

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Author: Steve Leeper

Navigating the Complex Landscape of Data Sovereignty


In today’s rapidly evolving global landscape, data sovereignty has emerged as a critical challenge for enterprises. Businesses must adapt to an increasingly complex web of requirements as countries around the world tighten data regulations in an effort to ensure compliance and protect against cyberattacks. Data sovereignty regulations significantly impact an organization’s ability to conduct data […]

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Author: Mark Cusack

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 […]


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Author: Randall Gordon

Combining IoT and Blockchain Technology to Enhance Security
The Internet of Things (IoT) technology has taken the world by storm. From smart homes and wearables to connected cars and fitness trackers, IoT devices are becoming prevalent across various industries and aspects of daily life. There are approximately 15.14 billion connected IoT devices in 2023, and this number is expected to grow to around […]


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Author: Hazel Raoult

Technical and Strategic Best Practices for Building Robust Data Platforms


In the AI era, organizations are eager to harness innovation and create value through high-quality, relevant data. Gartner, however, projects that 80% of data governance initiatives will fail by 2027. This statistic underscores the urgent need for robust data platforms and governance frameworks. A successful data strategy outlines best practices and establishes a clear vision for data architecture, […]

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Author: Alok Abhishek

The Rise of Cloud Repatriation in Storage Solutions


In recent years, a large number of businesses have jumped on the wave and moved their applications and data to the cloud, with nine out of 10 IT professionals considering the cloud a cornerstone of their digital strategy. While the cloud can offer flexibility, the reality is managing cloud expenses and resulting security liabilities have become significantly […]

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Author: Roger Brulotte

Crafting a Secure Future: Integrating an AI-First Security Posture


It is now well understood that integrating AI into an organization’s digital infrastructure will unlock real-time insights for decision-makers, streamline internal workflows by automating repetitive tasks, and enhance customer service interactions with AI-powered assistants. This technology will accelerate everything from purchases to personalized service requests. These benefits have made AI an essential component of modern […]

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Author: Donnchadh Casey

AI Advancement Elevates the Need for Cloud


The widespread adoption of artificial intelligence (AI) and machine learning (ML) simultaneously drives the need for cloud computing services. Enterprises aiming to effectively train huge datasets and navigate advanced neural networks will need to rely on more flexible and dependable solutions for managing challenging computing tasks. That is why organizations should look to hybrid solutions […]

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Author: Richard Copeland

Identity as Infrastructure: Why Digital Identities Are Crucial and How to Secure Their Data


Whether it’s building roads or optimizing power supplies, investing in infrastructure is vital to the safety and efficiency of nations and organizations. And in today’s digital age, this investment must extend to establishing trusted identities for all. Identity is foundational for a robust public infrastructure, initiating substantial economic growth – like using driver’s licenses to […]

The post Identity as Infrastructure: Why Digital Identities Are Crucial and How to Secure Their Data appeared first on DATAVERSITY.


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Author: Neville Pattinson

5 Cutting-Edge Innovations to Boost Your Cybersecurity Defenses


With everything on a business leader’s plate, cybersecurity can often feel like an afterthought. Between managing teams, pursuing new opportunities, and dealing with the bottom line, who has time to keep up with the latest hacker threats and security defenses? Especially if you don’t have your IT staff focused solely on locking down the castle […]

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Author: Ashok Sharma

How to Make Generative AI Work for Natural Language Queries


As businesses increasingly rely on data-driven decision-making, the volume and complexity of data within enterprises have grown exponentially. However, processing this data and deriving actionable insights remains challenging due to the reliance on human analysts. The explosion in interest surrounding text-to-SQL (T2SQL) solutions and the capabilities of large language models (LLMs) like ChatGPT have presented […]

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Author: David Mariani

Chief Officers: Do You Know What Your Data is Costing You?


CXOs this year have witnessed a rollercoaster economy amid plenty of turbulent events – from ongoing inflation affecting consumer spending to large stock market swings, major overseas conflicts, and the uncertainties of an election year. Not surprisingly, the economic forecast remains murky at best. According to a CNBC CFO survey, CFOs seem to agree that […]

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Author: Benjamin Henry

Scalability in Data Engineering: Preparing Your Infrastructure for Digital Transformation
In the present era of data-centricity, institutions are amassing an immense amount of information at an unparalleled pace. This inundation of data holds the solution to unlocking invaluable perceptions, but only with proficient management and analysis. That is precisely where the art of data engineering comes into play. Data engineering services engineer systems that collect, store, and […]


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Author: Hemanth Kumar Yamjala

Data Leader’s Playbook for Data Mapping
I’ve been thinking a lot about data mapping lately. I know, weird, right? With analytics, AI, cloud, etc., why would someone do that? What’s even stranger is that I’ve been thinking about its impact on data leaders. For clarity’s sake, I’m not talking about geographic maps with data points, I’m referring to the process of […]


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Author: John Wills

The Hidden Pitfalls of Cloud-Based Managed MySQL Services


Cloud-based managed MySQL data services are being aggressively marketed to organizations with the promise of streamlining their database management. These “managed data services” are an alternative to more traditional “non-managed data services” – software solutions with embedded intelligent proxies and cluster management using native MySQL run on-premises, in the cloud, or a hybrid cloud.  These […]

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Author: Eero Teerikorpi

The Hidden Language of Data: How Linguistic Analysis Is Transforming Data Interpretation


From Fortune 500 companies to local startups, everyone’s swimming in a sea of numbers, charts, and graphs. But here’s the thing: While structured data like sales figures and customer demographics have long been the backbone of analytics, there’s a growing realization that unstructured data is the real goldmine. Think about it. Every tweet, email, customer review, and social […]

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Author: Nahla Davies

Achieving Cost-Efficient Observability in Cloud-Native Environments


Cloud-native environments have become the cornerstone of modern technology innovation. From nimble startups to tech giants, companies are adopting cloud-native architectures, drawn by the promise of scalability, flexibility, and rapid deployment. However, this power comes with increased complexity – and a pressing need for observability. The Observability Imperative Operating a cloud-native system without proper observability […]

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Author: Doyita Mitra

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