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Jan 15 2025

Empowering Organizations Through Data Literacy, Governance, and Business Literacy

In my journey as a data management professional, I’ve come to believe that the road to becoming a truly data-centric organization is paved with more than just tools and policies — it’s about creating a culture where data literacy and business literacy thrive. Data governance, long regarded as a compliance-driven function, is now the backbone […]

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 […]

Crossing the Data Divide: A Case for Data Leaders Embracing Process Modeling

In the early days of enterprise data and business systems, process modeling and data modeling went hand-in-hand. It was standard practice to design processes and data structures simultaneously, ensuring a seamless alignment between how work was done and how information was captured, stored, and used. Tools like flowcharts, data flow diagrams, and entity-relationship diagrams were […]

The Brave New World of Embedded BI and Analytics

Your business users probably have their favorite legacy systems, best-of-breed solutions, and business apps. When your IT and management team introduce a new software application, it can often be seen as a nuisance or, at best, a tool whose day-to-day workflow value is not offset by the task of learning how to navigate the software. […]

Data Professional Introspective: Your Organization Can’t Create an EDM Strategy

Some countries successfully create long-term strategic plans. For example, China’s first 100-year plan was aimed at the elimination of extreme poverty by 2020. In 1980, there were 540M people living in extreme poverty; by 2014, there were only 80 million. The second 100-year plan, targeted for 2050, calls for achieving 30% of global GDP, to […]

Decentralized, Centralized, and Federated Data Governance

In my discussions with CIOs over the last several years, they have repeatedly told me that they strongly dislike traditional data governance. And asked at times, could they just be data custodians. When I asked why, they said they either forced it top-down on their organization, and everyone disliked them for doing it; or, IT […]

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 […]

Digital Transformation in Insurance: Overcoming Legacy Challenges

The insurance industry is experiencing a digital revolution. As customer expectations evolve and new technologies emerge, insurers are under increasing pressure to undergo digital transformation. However, legacy systems and outdated processes present significant hurdles for many companies. This article will explore the challenges of digital transformation in insurance, highlighting real-world cases and offering strategies to […]

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. […]

Building Robust Cybersecurity Frameworks with Outdated Infrastructure

Infrastructure security is a leading concern for cybersecurity professionals today. Cybercriminals are targeting industrial systems with increasing frequency, and these attacks can have devastating consequences. Further complicating the issue is the fact that many communities rely on outdated technology, leaving them vulnerable to disruption. Understanding the Security Challenges of Legacy Systems Although many heavy industries […]

From Chaos to Clarity: The Stealth Guide to Data Governance Success

In today’s fast-paced business world, data governance often feels like an insurmountable challenge. While teams focus on product development, innovation, and revenue generation, governance can seem like an abstract and expensive luxury. But as data volumes surge and complexity grows, the absence of proper governance creates a widening gap. Organizations are missing critical insights and […]

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Author: Subasini Periyakaruppan

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Dec 18 2024

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 […]

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, […]

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 18 2024

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 […]

Becoming a Citizen Data Scientist Can Improve Career Opportunities

When a business decides to undertake a data democratization initiative, improve data literacy, and create a role for citizen data scientists, the management team often assumes that business users will be eager to participate, and that assumption can cause these initiatives to fail. Like every other cultural shift within an organization, the management team must […]

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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