Remove tales-of-data-modelers
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Tales of Data Modelers

Dataversity

Reading Larry Burns’ “Data Model Storytelling” (TechnicsPub.com, 2021) was a really good experience for a guy like me (i.e., someone who thinks that data models are narratives). The post Tales of Data Modelers appeared first on DATAVERSITY. I agree with Larry on so many things.

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Domo’s Commitment to Generative AI Security

Domo

The allure of models like GPT-4 lies in their potential to significantly boost productivity and creativity. However, this enticing promise is accompanied by a cautionary tale. It’s important to note that these benefits come at a cost: the necessity of sending data to external servers for processing.

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5 Ways AI Can Help Choose Good SEO Agencies

Smart Data Collective

Artificial intelligence has substantially helped many companies substantially improve their business models. Ways that AI Can Help Businesses Avoid Low-Quality SEO Companies We have talked about some of the ways that big data can help with technical SEO. AI technology is very helpful for marketing. Let’s get stuck in… 1.

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How to Prioritize Responsibility Over Reactivity in Evaluating AI

Domo

For decades, artificial intelligence (AI) was the realm of PhD-level data scientists. Some have concerns about sensitive company data being used to train models—especially hearing cautionary tales about AI gone wrong. Misconception #3: AI will take my job or the jobs of people around me.

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Agile Teams Need More Than User Stories To Build Great Products

BA Squared

A Tale of Two Teams. Let’s take a look at backlog refinement from two approaches: . A customer provides the team with feedback on their website ordering process and says “I want a button on my email receipt for my order to “view shipping details”. The team prioritizes this and gets to work. They build it quickly in a sprint and release it.

Agile 100
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Agile culture – what's behind, what's in it?

Agile Business Consortium

There is the often-described story of the five monkeys, a story that is a tale based on a study of learned responses among Rhesus Monkeys (Stephenson, 1966): Bananas hung on the ceiling of the monkey cage, too high to reach but with a ladder underneath it. Information: transparency with information and data. Look at forests or fields.

Agile 40
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How To Write Good User Stories – An Aggregate of User Story Articles

BA Squared

If your user stories have names like “code profile page” or “write SQL for DB call” or “map data for credit card validation,” your project might be in trouble. Slice them based on the valuable pieces of data that make up the profile, instead of the application components the profile touches. A Tale of Two Teams.

Agile 246