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The Book Look: Enterprise Intelligence
Every once in a while, a book comes along that contains such innovative ideas that I find myself whispering “wow” and “interesting” as I read through the pages. “Enterprise Intelligence,” by Eugene Asahara, is one such book. Eugene takes three basic ingredients that are not so new (business intelligence, knowledge graphs, and large language models), […]


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Author: Steve Hoberman

How to Build a Robust Data Architecture for Scalable Business Growth
In the digital age, businesses rely on high-quality, easily accessible data to guide all manner of decisions and encourage growth. However, as a business grows, the way the organization interacts with its data can change, making processes less efficient and impairing progress toward business goals.  Businesses need to think critically about their data architecture to […]


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Author: Ainsley Lawrence

Why Your Business Needs Data Modeling and Business Architecture Integration


In the contemporary business environment, the integration of data modeling and business structure is not only advantageous but crucial. This dynamic pair of documents serves as the foundation for strategic decision-making, providing organizations with a distinct pathway toward success. Data modeling provides organization to your facts, whereas business architecture defines the operational mechanisms of your […]

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Author: Pankaj Zanke

The Analytics Sandwich: Understanding the Business Value of Data and AI
In discussions with data management professionals, conversations often veer toward the technical intricacies of migration to the cloud or algorithm optimization, overshadowing the core business objectives that originally spurred these initiatives. Yet, conversations with chief information officers (CIOs) and chief data officers (CDOs) reveal a relentless pursuit of concrete business value, a metric that determines […]


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Author: Myles Suer

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

The End of Agile – Part 4 (Lessons from Agile)
In my first article, I laid out the basic premise for this series: an examination of how Agile has gone from the darling of the application development community to a virtual pariah that nobody wants to be associated with, and an exploration of the very important question of what we should replace it with. We […]


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Author: Larry Burns

The End of Agile – Part 3 (What Is Agile Really?)
In the first article, I laid out the basic premise for this series: an examination of how Agile has gone from the darling of the application development community to a virtual pariah that nobody wants to be associated with, and an exploration of the very important question of what we should replace it with. We […]


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Author: Larry Burns

Crossing the Data Divide: AI Data Assistants — A Data Leader’s Force Multiplier
The focus of my last column, titled Crossing the Data Divide: Data Catalogs and the Generative AI Wave, was on the impact of large language models (LLM) and generative artificial intelligence (AI) and how we disseminate knowledge throughout the enterprise and the future role of the data catalogs. Spoiler alert if you have not read […]


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Author: John Wills

The Book Look: Cassandra Data Modeling and Schema Design
I love writing this column for TDAN. It lets me discuss what I learned from a newly released data management book. When I publish a book through Technics Publications, I see the manuscript mostly through the eyes of a publisher. But when I write this column, I see the manuscript through the eyes of a […]


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Author: Steve Hoberman

Explainable AI: 5 Open-Source Tools You Should Know
Explainable AI refers to ways of ensuring that the results and outputs of artificial intelligence (AI) can be understood by humans. It contrasts with the concept of the “black box” AI, which produces answers with no explanation or understanding of how it arrived at them. Explainable AI tools are software and systems that provide transparency […]


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Author: Gilad David Maayan

Facing a Big Data Blank Canvas: How CxOs Can Avoid Getting Lost in Data Modeling Concepts


The volume of data now available to businesses continues to grow exponentially. When looking to extract valuable insights into their business’s performance, C-level executives (CxOs) must navigate the big data blank canvas. This requires a strategic approach, in which CxOs should define business objectives, prioritize data quality, leverage technology, build a data-driven culture, collaborate with […]

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Author: Haroen Vermylen

The AI Playbook: Providing Important Reminders to Data Professionals
Eric Siegel’s “The AI Playbook” serves as a crucial guide, offering important insights for data professionals and their internal customers on effectively leveraging AI within business operations. The book, which comes out on February 6th, and its insights are captured in six statements: — Determine the value— Establish a prediction goal— Establish evaluation metrics— Prepare […]


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Author: Myles Suer

Handling Data Concerns in 2024 and Onwards


Looking back, then forward, is a traditional exercise by year-end. Which data concerns are important enough to worry about in 2024? Which of those do we stand a chance of doing something good for in 2024? Needless to say, money (budget and costs) is an issue. But even more needless to say, solving real business […]

The post Handling Data Concerns in 2024 and Onwards appeared first on DATAVERSITY.


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Author: Thomas Frisendal

Legal Issues for Data Professionals: A New Data Licensing Model
Setting the Stage: Data as a Business Asset This column presents a new model for licensing and sharing data, one that I call the “Decision Rights Data Licensing Model” (or the “Decision Rights Model,” in a shorter form) and one that has been met with acceptance in commercial transactions. The Decision Rights Model addresses current business […]


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Author: William A. Tanenbaum

Generative AI and Semantic Compliance


Only CPT and its peers know how many statements have been made based on results from generative AI. But there are loads of them. My background as a data modeler over many years makes me shiver a little bit, because what the friendly AI helpers help us produce is subjected to cognitive processes, where we, the readers, process […]

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Author: Thomas Frisendal

Modeling Modern Knowledge Graphs


In the buzzing world of data architectures, one term seems to unite some previously contending buzzy paradigms. That term is “knowledge graphs.”  In this post, we will dive into the scope of knowledge graphs, which is maturing as we speak. First, let us look back. “Knowledge graph” is not a new term; see for yourself […]

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Author: Thomas Frisendal

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