Foundations of AI Success: Data Governance and Quality
Learn how robust frameworks and high-quality data are essential for reliable AI outcomes, especially in sensitive sectors like healthcare and finance.
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Learn how robust frameworks and high-quality data are essential for reliable AI outcomes, especially in sensitive sectors like healthcare and finance.
For AI to be truly effective, it must rely on a rich foundation of internal data and rules, rather than solely on external information such as competitor analysis.
AI can be used in many different industries and can help a project manager be more efficient.
Data science service offerings are here to help you harvest the value of your data.
Knowing how to create a good prompt for a language model AI technology is a skill that can result in more complete and pointed results.
When evaluating AI models, the possibilities are endless. But when discerning how to use AI to best suit your company, the question becomes more complex: To build? Or to buy?
If you’re curious to learn more about ChatGPT, we can help you discover what this new technology can do for you and your business.
Josh Pack, PhD Principal Consultant, Data Strategy Group We’re not entering another “AI Winter” – those historical periods where progress is negligible, skepticism is high, and investors run for the hills. The past decade has shown way too much technological
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