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MDM vs. CDP: Which Does Your Organization Need?


Most, if not all, organizations need help utilizing the data collected from various sources efficiently, thanks to the ever-evolving enterprise data management landscape. Often, the reasons include:   1. Data is collected and stored in siloed systems 2. Different verticals or departments own different types of data 3. Inconsistent data quality across the organization Implementing a central […]

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Author: Mahtab Masood and Arjun Vishwanath

The Cool Kids Corner: Data Leadership (and the Importance of TNADVTMADHGI)


Hello! I’m Mark Horseman, and welcome to The Cool Kids Corner. This is my monthly check-in to share with you the people and ideas I encounter as a data evangelist with DATAVERSITY. Last month we discussed data privacy. This month we’re talking about data leadership. What do we mean by data leadership? What are our challenges […]

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Author: Mark Horseman

Unlocking Business Potential: Leveraging Data Protection for Growth and Privacy


Data is undeniably the modern fuel that keeps organizations up and running in the dynamic business landscape. Admit it: Every organization catering to its customers online is handling heaps of customer data, which is collected for various purposes, including marketing and personalization.  While most customers may offer their consent to use their personal details, most […]

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Author: Rakesh Soni

Now Is the Time for Executives to Deploy Ethical Rules Around AI


For better or worse, AI is causing disruption in almost every field imaginable. Corporations around the world are embracing its possibilities to make work more efficient. The success of ChatGPT and other generative AI tools has also caught the attention of nearly every industry in an effort to meet profitability, efficiency, and sustainability goals. Money […]

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Author: Usman Shuja

Granularity Is the True Data Advantage


Commerce today runs on data – guiding product development, improving operational efficiency, and personalizing the customer experience. However, many organizations fall into the trap of thinking that more data means more sales, when these two factors aren’t directly correlated. Often, executives will become overzealous in their digital transformations and cut blank checks for data collection, […]

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Author: Fabrizio Fantini

Mind the Gap: The Data Chasm


Welcome to the inaugural edition of Mind the Gap, a monthly column exploring practical approaches for improving data understanding and data utilization (and whatever else seems interesting enough to share). This month, we start not with a gap but with a chasm – one that’s at the core of a bewildering paradox. We continue to see […]

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Author: Mark Cooper

SQL at 50: A Lesson in How to Stay Relevant Around Data


Structured query language (SQL) is now 50 years old. The original paper for SQL (then called SEQUEL) was published in May 1974 by Raymond Boyce and Donald Chamberlin, and provided a guide for data manipulation based on a set of simple commands. Today, we take SQL for granted around data – it is still the third most […]

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Author: Dave Stokes

Smart Data Fingerprinting: The Answer to Data Management Challenges


The world generated 120 zettabytes of data in 2023, on track for a 1.5x growth over two years to exceed 180 zettabytes in 2025. Unfortunately, data management strategies have not kept pace with the evolution and expansion of data, largely continuing to work with old-world processes and structured information stored in historical databases. There is an […]

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Author: Sunil Senan

The Rise of Augmented Analytics: Combining AI with BI for Enhanced Data Insights


Businesses today are drowning in data. The sheer volume and complexity of information available have made it increasingly difficult for organizations to extract meaningful insights using traditional business intelligence (BI) tools and the expertise of specialized data scientists. This is where augmented analytics comes in. This game-changing technology combines the power of artificial intelligence (AI) […]

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Author: Nahla Davies

Data Labeling Challenges and Solutions


In the rush to adopt AI across diverse sectors, today’s enterprises face a common hurdle: efficient data labeling at scale. Numerous enterprises are grappling with generating usable data despite having huge amounts of raw information. Organizations are overwhelmed by the influx of image data, highlighting the need to process and label it for practical use. Data […]

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Author: Hemanth Yamjala

Understanding Linear Regression Intercepts in Plain Language


I am often asked about the role of intercepts in linear regression models – especially the negative intercepts. Here is my blog post on that topic in simple words with minimal statistical terms.   Regression models are used to make predictions. The coefficients in the equation define the relationship between each independent variable and the dependent variable. […]

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Author: Prashanth Southekal

Human-AI Collaboration: How AI Can Enhance Human Capabilities and Ethical Considerations


Artificial intelligence is here to change the world, and it is up to us to embrace this technology and use it responsibly to reap its full potential. Although critics have expressed some valid concerns about the potential harm that AI technology could bring about, fostering an AI-human collaboration can allow us to use this powerful […]

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Author: Ed Watal

Preparing for La Niña: Adopting Predictive Maintenance Before Hurricane Season


With a La Niña watch issued for the summer, businesses operating in hurricane-prone regions face heightened concerns about the impending storm season. La Niña heavily impacts the wind shear and atmospheric conditions over the Atlantic, where most hurricanes form thanks to its warm waters. It’s rare to go a year without a hurricane hitting some part of […]

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Author: Kevin Miller

How AI Can Improve Company Performance Through Better DEX 


In tech circles these days, one topic drives every conversation: artificial intelligence (AI). Whether discussing the potential benefits of increased productivity or the potential risks, the role of AI in business is on the minds of everyone, from C-suite leaders to recent college graduate hires. AI is a hot topic because while people can see […]

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Author: Mike Marks

Signal vs. Noise: Balancing On-Call Hygiene for Data-Driven Teams


In the real-time software world, 24×7 uptime is critical for core software where millions of transactions occur every second. In 2018, Amazon’s Prime Day event experienced a 13-minute outage that, according to some estimates, may have cost the company up to $99 million in lost sales. Reliability is paramount when the business depends on it […]

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Author: Tejaswi Agarwal

Good Data Quality Is the Secret to Successful GenAI Implementation


You wouldn’t build a house without a concrete foundation. So why are many technology leaders attempting to adopt GenAI technologies before ensuring their data quality can be trusted? Reliable and consistent data is the bedrock of a successful AI strategy. Incomplete or inconsistent data prompts GenAI models to propose equally unreliable outputs, calling the basic […]

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Author: Stephany Lapierre

Why Selecting the Appropriate Data Governance Operating Model Is Crucial


To embark on data governance in an enterprise that spans divisions and diverse stakeholders, a well-defined operating model plays a vital role in achieving expected business benefits. Data mesh is a new concept that encourages data democratization within an organization in a decentralized way by promoting data products. Unlike the vintage architecture, which is centralized, data mesh […]

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Author: Tejasvi Addagada

Data-Driven Defense: AI as the New Frontier in Business Security


Major business setbacks due to risk management failures happen every year. They are also some of the costliest, adding up to millions of dollars in regulatory fines, lawsuits, payouts, and lost brand value. Leaders want to avoid these types of issues and rely on sound internal data management to mitigate risk and maintain confidence and […]

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Author: Prasad Sabbineni

Why Total Cost of Ownership Is a Critical Metric in High-Availability Databases


In the world of data management, the focus often zeroes in on the performance, scalability, and reliability of database systems. Total cost of ownership (TCO) is a crucial aspect that should hold equal – if not more – importance. TCO isn’t just a financial metric; it’s a comprehensive assessment that can significantly impact a business’s […]

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Author: Eero Teerikorpi

Overcoming Real-Time Data Integration Challenges to Optimize for Surgical Capacity


In the healthcare industry, surgical capacity management is one of the biggest issues organizations face. Hospitals and surgery centers must be efficient in handling their resources. The margins are too small for waste, and there are too many patients in need of care. Data, particularly real-time data, is an essential asset. But it is only […]

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Author: Jeff Robbins

Knowledge Graphs 101: The Story (and Benefits) Behind the Hype


Knowledge graphs, while not as well-known as other data management offerings, are a proven dynamic and scalable solution for addressing enterprise data management requirements across several verticals. As a hub for data, metadata, and content, they provide a unified, consistent, and unambiguous view of data scattered across different systems. Using global knowledge as context for […]

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Author: Doug Kimball

Data Detection and Response (DDR): The Future of Data Security


There’s a unanimous consensus that data is the lifeblood of organizations. From customer records to intellectual property, the explosion of information creates tremendous value – and equally tremendous risk. The pace of cyberattacks accelerates relentlessly, with disastrous data breaches becoming a mainstay in news headlines and the associated costs skyrocketing. Current approaches to data security are […]

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Author: Anastasios Arampatzis

Women in Data: Meet Christina Sandema-Sombe


The latest installment in our Q&A series with women leaders in data features Dr. Christina Sandema-Sombe, chief data steward of Nike, Inc. (Read our previous Q&A here.)  Dr. Christina Sandema-Sombe first learned the joys – and challenges – of working with data as the global impact measurement lead at a humanitarian aid organization. Over a decade […]

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Author: Tami Fertig

How In-Database Machine Learning Transforms Decision-Making


In the contemporary landscape of data-driven decision-making, enterprises are increasingly turning to predictive analytics to gain valuable insights into future trends and behaviors. Predictive analytics involves extracting patterns from historical data to forecast future outcomes, enabling organizations to make proactive decisions and optimize their operations. Traditionally, predictive analytics has been performed using standalone machine learning […]

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Author: Pankaj Zanke

Managing Software Entitlements and Billing: How Usage Data Supports Streamlined Processes


At some point in your life, you’ve probably joined a gym. In doing so, you had to decide what type of membership was right for your fitness goals and at the right price point for your budget. Maybe it was an all-access pass, billed monthly or annually, with unlimited use of the facility, including the […]

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Author: Victor DeMarines