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In Aprils Book of the Month, were looking at Bob Seiners Non-Invasive DataGovernance Unleashed: Empowering People to GovernData and AI.This is Seiners third book on non-invasive datagovernance (NIDG) and acts as a companion piece to the original.
As a frequent reviewer of data and strategy books, I am always interested in understanding authors’ perspectives on datagovernance. Two recent books have ideas that are worthy of datagovernance professionals: “Rewired” by Eric Lamarre, Kate Smaje, and Rodney W. Wixom, Cynthia M.
As I’ve been working to challenge the status quo on DataGovernance – I get a lot of questions about how it will “really” work. In 2019, I wrote the book “Disrupting DataGovernance” because I firmly believe […] The post Dear Laura: How Will AI Impact DataGovernance?
It has been eight years plus since the first edition of my book, Non-Invasive DataGovernance: The Path of Least Resistance and Greatest Success, was published by long-time TDAN.com contributor, Steve Hoberman, and his publishing company Technics Publications. That seems like a long time ago.
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.
generally available on May 24, Alation introduces the Open Data Quality Initiative for the modern data stack, giving customers the freedom to choose the data quality vendor that’s best for them with the added confidence that those tools will integrate seamlessly with Alation’s Data Catalog and DataGovernance application.
In this months Book of the Month, were looking at Fuad Hendricks The One About Data … The Coffee Shop Chats. The book sets up a true-to-life scenario of a bunch of peers having coffee and solving the worlds data problems […] The post Book of the Month: The One About Data appeared first on DATAVERSITY.
From Bob Seiner’s first book, Non-Invasive DataGovernance, we learned how to get the benefits of datagovernance without making major changes to our job roles or functions. That’s probably why Non-Invasive Data […]
Welcome to our new series, “Book of the Month.” In this series, we will explore new books in the data management space, highlighting how thought leaders are driving innovation and shaping the future.
Four years ago, in a fit of naivete, I decided to write a book about DataGovernance. I wasn’t naïve about DataGovernance – I was naïve about what that book would bring about. After I left my corporate gig, I did a state-of-the-state in the data industry to get a broader understanding […].
What makes a databook great? Our time is valuable, so a good databook should be concise and practical. It should show us how to do something, step by step, so we can apply the techniques to reinforce and always remember. The experiences of the author should shine through in every chapter. It should […]
As I’ve been working to challenge the status quo on DataGovernance – I get a lot of questions about how it will “really” work. In 2019, I wrote the book “Disrupting DataGovernance” because I firmly believe […]. The post Dear Laura: DataGovernance Budget Woes appeared first on DATAVERSITY.
Because of this, when we look to manage and govern the deployment of AI models, we must first focus on governing the data that the AI models are trained on. This datagovernance requires us to understand the origin, sensitivity, and lifecycle of all the data that we use. and watsonx.data.
As the role of data and data-driven decision-making increases and as the overall volume and velocity of available data grows, datagovernance is evolving to meet a changing set of business requirements. What are the biggest trends in datagovernance for 2023?
As I’ve been working to challenge the status quo on DataGovernance – I get a lot of questions about how it will “really” work. In 2019, I wrote the book “Disrupting DataGovernance” because I firmly believe […]. The post Dear Laura: Should I Leave My DataGovernance Job?
Her writing style combines laugh-out-loud humor with practical experience, making her books both enjoyable and educational. Even some of the books subheadings, like Lets Not Do Dumb Stuff Faster and Kwality Is Job One, made me laugh out loud. […] I am just going to start off by saying that I am a Laura Madsen fan.
As I’ve been working to challenge the status quo on DataGovernance – I get a lot of questions about how it will “really” work. In 2019, I wrote the book “Disrupting DataGovernance” because I firmly believe that […]. The post Dear Laura: What Role Should Leadership Play in DataGovernance?
Steve Hoberman has been a long-time contributor to The Data Administration Newsletter (TDAN.com), including his The Book Look column since 2016, and his The Data Modeling Addict column years before that.
The same could be said about datagovernance : ask ten experts to define the term, and you’ll get eleven definitions and perhaps twelve frameworks. However it’s defined, datagovernance is among the hottest topics in data management. This is the final post in a four-part series discussing data culture.
As I’ve been working to challenge the status quo on DataGovernance – I get a lot of questions about how it will “really” work. In 2019, I wrote the book “Disrupting DataGovernance” because I firmly believe that […]. The post Dear Laura: How Can I Build Traction for DataGovernance in a Start-Up?
Lean GovernanceTM is the next machine to change the world of DataGovernance and Enterprise Data Management. As proponents of lean thinking, we view corporations as data factories that produce information for operations, reporting, and financial modeling.
This past week, I had the pleasure of hosting DataGovernance for Dummies author Jonathan Reichental for a fireside chat , along with Denise Swanson , DataGovernance lead at Alation. Reichental’s book as well as my own experience as a datagovernance leader for 30+ years.
At the same time, there’s a growing opportunity to learn from customer data to deliver superior products and services. For these reasons, insurers are adopting datagovernance solutions for a range of use cases. What is DataGovernance in the Insurance Industry? Why is it Important?
The DataGovernance & Information Quality Conference (DGIQ) is happening soon — and we’ll be onsite in San Diego from June 5-9. If you’re not familiar with DGIQ, it’s the world’s most comprehensive event dedicated to, you guessed it, datagovernance and information quality. The best part? His major takeaway?
As IT leaders oversee migration, it’s critical they do not overlook datagovernance. Datagovernance is essential because it ensures people can access useful, high-quality data. Therefore, the question is not if a business should implement cloud data management and governance, but which framework is best for them.
His recent book, “The Coming Wave,” explores the urgent need for balanced AI governance, drawing from his unique experience straddling both the development and oversight sides of AI. His framework for AI governance emerges from this rare combination of deep technical knowledge and practical experience with regulatory challenges.
Developers often face challenges integrating structured data into generative AI applications. This includes difficulties training LLMs to convert natural language queries to SQL queries based on complex database schemas, as well as making sure appropriate datagovernance and security controls are in place.
Technics Publications has started publishing a line of Data-Driven AI books, and one of the first books in this series is “AI Governance” by Dr. Darryl J Carlton. The goal of the book in one sentence is to enable the reader to gain the knowledge and tools to effectively govern and oversee the use of […]
In some ways, the use of unregulated artificial intelligence services that fail to align with an organization’s IT policies and wider country-specific datagovernance controls might be seen as a positive i.e. it’s a case of developers and data scientists looking for new innovations to bring hitherto unexplored new efficiencies to a business.
Welcome to October 2024’s edition of “Book of the Month.” This month, we’re enjoying some time in the fall sun and the local library diving into Laura Madsen’s “AI & The Data Revolution.” The central theme of this book is the management and impact of artificial intelligence (AI) disruption in the workplace.
Sometimes I like to read a book purely for pleasure, like a good Dan Brown or Stephen King novel, and sometimes I like to read a book to learn something new. There are not many books that I read for both pleasure and to learn new things. One exception is Telling Your Data Story: Data […].
I never realized how complex data privacy rules can be for multinational companies until I read “Data Privacy Across Borders” by Lambert Hogenhout and Amanda Wang.
As some of you already know, I am dedicating these summer days to the writing of my new book, “99 Questions About Data Management,” which follows in some way the book “20 Things You Have to Know About Data Management.”
I love books that make you think. We The People, by Kathy Rondon, leads us down the path of rethinking what we do with data today and also, for most of us, makes us realize that we often do not consider ethics when using data today to make business decisions. To quote Kathy, “Just because […].
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.
To talk with Bob Seiner is to talk with a friend and a personal reference in the field of data management. The fact that I have collaborated with him in the translation of his first book, Non-Invasive DataGovernance: The Path of Least Resistance and Greatest Success, into Spanish is a source of pride. After […]
Achieving scale, reliability, and compliance Factors to consider in transitioning to full-scale production include scalability, datagovernance, privacy, consistent and responsible AI behaviors, security, integration with existing systems, monitoring, end-user feedback collection, and business impact measurement.
This trust depends on an understanding of the data that inform risk models: where does it come from, where is it being used, and what are the ripple effects of a change? Moreover, banks must stay in compliance with industry regulations like BCBS 239, which focus on improving banks’ risk data aggregation and risk reporting capabilities.
My new book, Data Model Storytelling[i], describes how data models can be used to tell the story of an organization’s relationships with its Stakeholders (Customers, Suppliers, Dealers, Regulators, etc.), and how data models can be used to help organizations get from where they currently are to where they would like to be.
You have a specific book in mind, but you have no idea where to find it. You enter the title of the book into the computer and the library’s digital inventory system tells you the exact section and aisle where the book is located. This is especially helpful when handling massive amounts of big data.
While the need for reliable, resilient, recoverable and corruption-free datagovernance has long been achieved by a backup and recovery routine, more modern techniques have been developed to support proactive measures that protect against threats before they occur. You can also book a meeting on the IBM FlashSystem page.
To further enrich the dataset, Fastweb generated synthetic Italian data using LLMs. High-quality Italian web articles, books, and other texts served as the basis for training the LLMs to generate authentic-sounding synthetic content that captured the nuances of the language.
Build a Holistic DataGovernance Framework Most enterprises have made significant progress in developing a sound datagovernance framework. Mainframe modernization can add significant complexity, requiring a fresh look at datagovernance and the implications of data replication. Best Practice 5.
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