
How to Use a Semantic Layer on Big Data to Drive AI & Bi Impact
Learn about using a semantic layer to make data accessible and how to accelerate the
Generative AI refers to the ability of AI models to create new data and content that imitates human-like qualities, such as creativity and intuition. In recent years, generative AI has gained significant attention in the data science community due to its potential to transform a wide range of industries, from music and art to healthcare and finance. With the development of advanced generative AI models, data scientists are now able to create more sophisticated and realistic data, opening up new opportunities for innovation and creativity.
Learn about using a semantic layer to make data accessible and how to accelerate the
Juliana Novic Data Scientist Pandata
Rodrigo Aramayo Global Head of Data Insights & Analytics
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