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Start DataOps Today with ‘Lean DataOps’

DataKitchen

We call this approach “ Lean DataOps ” because it delivers the highest return of DataOps benefits for any given level of investment. The best way to ensure error-free execution of data production is through automated testing and monitoring. Start with just a few critical tests and build gradually.

Testing 246
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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

While generative AI has been around for several years , the arrival of ChatGPT (a conversational AI tool for all business occasions, built and trained from large language models) has been like a brilliant torch brought into a dark room, illuminating many previously unseen opportunities. So, if you have 1 trillion data points (g.,

Strategy 290
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Bringing an AI Product to Market

O'Reilly on Data

Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. You must detect when the model has become stale, and retrain it as necessary. The Core Responsibilities of the AI Product Manager. The AI Product Development Process.

Marketing 363
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How to Set AI Goals

O'Reilly on Data

AI Benefits and Stakeholders. AI is a field where value, in the form of outcomes and their resulting benefits, is created by machines exhibiting the ability to learn and “understand,” and to use the knowledge learned to carry out tasks or achieve goals. AI-generated benefits can be realized by defining and achieving appropriate goals.

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Generative AI in the Enterprise

O'Reilly on Data

And everyone has opinions about how these language models and art generation programs are going to change the nature of work, usher in the singularity, or perhaps even doom the human race. 16% of respondents working with AI are using open source models. 54% of AI users expect AI’s biggest benefit will be greater productivity.

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Companies Test Possibilities and Limits of AI in Research and Product Development

Smart Data Collective

Generative design is a new approach to product development that uses artificial intelligence to generate and test many possible designs. The technique is helping product design firm Seattle reduce costs and improve the quality of its products. Automated Testing of Features. Quality Assurance. Bias in Data and Algorithms.

Testing 125
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Our Favorite Questions

O'Reilly on Data

Taking the time to work this out is like building a mathematical model: if you understand what a company truly does, you don’t just get a better understanding of the present, but you can also predict the future. Since I work in the AI space, people sometimes have a preconceived notion that I’ll only talk about data and models.