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Dec 17 2024

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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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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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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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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From Input to Insight: How Quality Data Drives AI and Automation

More and more enterprises are looking to automation and AI to deliver new efficiencies and give their organizations an edge in the market. Data is the engine that powers both automation and AI. But data must be clean and user-friendly for these systems to work effectively and deliver on their promise. Lots of organizations are […]

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Data Monetization: The Holy Grail or the Road to Ruin?

Unlocking the value of data is a key focus for business leaders, especially the CIO. While in its simplest form, data can lead to better insights and decision-making, companies are pursuing an entirely different and more advanced agenda: the holy grail of data monetization. This concept involves aggregating a variety of both structured and unstructured […]

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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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Delivering Personalized Recommendations Without Sacrificing User Privacy

In today’s fast-paced digital landscape, we all love a little bit of personalization. Whether it’s Netflix suggesting our next binge-worthy show or Spotify curating our playlists, these tailored experiences make us feel understood and valued. But with growing concerns around user privacy, how can companies achieve this level of personalization without compromising our personal data? […]

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Author: Ganapathy Subramanian Ramachandran

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Dec 10 2024

Beyond Ownership: Scaling AI with Optimized First-Party Data

Brands, publishers, MarTech vendors, and beyond recently gathered in NYC for Advertising Week and swapped ideas on the future of marketing and advertising. The overarching message from many brands was one we’ve heard before: First-party data is like gold, especially for personalization. But it takes more than “owning” the data to make it valuable. Scale and accuracy […]

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Ask a Data Ethicist: How Can You Learn More About Data and AI Ethics?

It was about this time last year that I pitched the team at DATAVERSITY the idea of this monthly column on data ethics. There’s certainly been no shortage of interesting questions to cover and I’ve enjoyed writing about both the practical and more philosophical aspects of this topic. As we wrap up this year and […]

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The Hidden Infrastructure Crisis: Why CIOs Face a Perfect Storm in IT Talent Management

As organizations navigate the complex landscape of digital transformation, CIOs are confronting an unprecedented crisis that extends far beyond the typical challenges of recruitment and retention. At its core, this crisis represents a fundamental misalignment between traditional IT infrastructure management and modern development practices – a gap that threatens to widen as experienced IT professionals retire […]

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Author: Daniel Clydesdale-Cotter

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Dec 6 2024

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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Mind the Gap: Architecting Santa’s List – The Naughty-Nice Database

You never know what’s going to happen when you click on a LinkedIn job posting button. I’m always on the lookout for interesting and impactful projects, and one in particular caught my attention: “Far North Enterprises, a global fabrication and distribution establishment, is looking to modernize a very old data environment.” I clicked the button […]

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5 Data Management Tool and Technology Trends to Watch in 2025

The market surrounding data management tools and technologies is quite mature. After all, the typical business has been making extensive use of data to help streamline its operations and decision-making for years, and many companies have long had data management tools in place. But that doesn’t mean that little is happening in the world of […]

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How to Foster a Cross-Organizational Approach to Data Initiatives

In today’s business landscape, data reigns supreme. It is the cornerstone of effective decision-making, fuels innovation, and drives organizational success. However, despite its immense potential, many organizations struggle to harness the full power of their data due to a fundamental disconnect between IT and business teams. This division not only impedes progress but also undermines […]

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Synthetic Data Generation: Addressing Data Scarcity and Bias in ML Models

There is no doubt that machine learning (ML) is transforming industries across the board, but its effectiveness depends on the data it’s trained on. The ML models traditionally rely on real-world datasets to power the recommendation algorithms, image analysis, chatbots, and other innovative applications that make it so transformative. However, using actual data creates two significant challenges […]

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Book of the Month: “AI Governance Comprehensive”

Welcome to December 2024’s “Book of the Month” column. This month, we’re featuring “AI Governance Comprehensive: Tools, Vendors, Controls, and Regulations” by Sunil Soares, available for free download on the YourDataConnect (YDC) website. This book offers readers a strong foundation in AI governance. While the emergence of generative AI (GenAI) has brought AI governance to […]

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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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A Financial Approach to Evaluating Data, Analytics, and AI Investments

Extracting tangible business benefits from data and analytics projects, including those involving AI, has proven challenging for most enterprises. In 2019, VentureBeat reported that 87% of data and analytics (D&A) projects failed to reach production. In 2022, Gartner found that only 20% of insights derived from analytics translated into business outcomes. Despite various reasons for […]

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Author: Prashanth Southekal, Varun Vemula, and Zain Raza Nayani

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Nov 29 2024

Chatbot Quality Control: Why Data Hygiene Is a Necessity

The rush is on to deploy chatbots. Chatbots rely on data to power their outputs; however, companies that prioritize data quantity over quality risk creating systems that produce unreliable, inappropriate, and simply incorrect responses. Success in this field depends on rigorous data standards and ongoing quality control rather than simply accumulating more training data. When […]

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Essential Components for Effective Data Management in the AI Era

Imagine a world where your data not only tells a story but also anticipates your next move – this is the promise of effective data management in the AI era. As organizations try to deal with vast amounts of information, three key components have emerged as essential for unlocking the full potential of data: metadata, […]

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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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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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Harnessing Data: From Resource to Asset to Product

Companies that are data-driven demonstrate improved business performance. McKinsey says that data and analytics can provide EBITDA (earnings before interest, taxes, depreciation, and amortization) increases of up to 25% [1]. According to MIT, digitally mature firms are 26% more profitable than their peers [2]. Forrester research found that organizations using data are three times more […]

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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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What to Expect in AI Data Governance: 2025 Predictions

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

Focusing on Data Privacy: Building Trust and Strengthening Security

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

From Input to Insight: How Quality Data Drives AI and Automation

Data Monetization: The Holy Grail or the Road to Ruin?

Modern Data Archiving: Managing Explosive Unstructured Data Growth

Delivering Personalized Recommendations Without Sacrificing User Privacy

Beyond Ownership: Scaling AI with Optimized First-Party Data

Ask a Data Ethicist: How Can You Learn More About Data and AI Ethics?

The Hidden Infrastructure Crisis: Why CIOs Face a Perfect Storm in IT Talent Management

Mind the Gap: Architecting Santa’s List – The Naughty-Nice Database

5 Data Management Tool and Technology Trends to Watch in 2025

How to Foster a Cross-Organizational Approach to Data Initiatives

Synthetic Data Generation: Addressing Data Scarcity and Bias in ML Models

Book of the Month: “AI Governance Comprehensive”

Technical and Strategic Best Practices for Building Robust Data Platforms

A Financial Approach to Evaluating Data, Analytics, and AI Investments

Chatbot Quality Control: Why Data Hygiene Is a Necessity

Essential Components for Effective Data Management in the AI Era

The Rise of Cloud Repatriation in Storage Solutions

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

Harnessing Data: From Resource to Asset to Product

AI Advancement Elevates the Need for Cloud

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