business

  • Benefits and Challenges of Using Synthetic Data for AI Model Training

    AI Model training requires vast amounts of data which are normally not readily available. As such, generating data sets artificially has become a need and an enterprise in itself. There are many pros and cons to using synthetic data, but let’s start with a definition: “A synthetic data set is any data set that represents

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  • Who is Afraid of the Big Bad AI Wolf?

    Originally, this article was intended to be a video on the series about data, experimental data science, AI and Operations, and how these tools can be used to run your company more effectively. I wanted to look at AI as a tool and I think it’s appropriate to cover it from an ethics point of

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  • Efficient Time to Market with Data Lakes: Modernize Your Data Management

    In this article I want to focus on how to keep your data ready to make use of it. One of the biggest challenges in business is “time to market.” You need to think about “data use” to answer business questions in the same fashion, “time to market.” The faster you can answer a question,

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  • AI in Business: Automation, Generative Content, and Personalization

    Today, I want to look at some use cases for AI in the context of a business tool. And as a case in point, I want to highlight the fact that I am using Generative AI tools to write this article. Here are a few areas I want to mention where major efficiencies are brought

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