Considerations Slides | Factors to consider While Using Generative AI

Here are things to consider before you roll out generative AI in enterprise - who owns copyright of generated work? what will be legal challenges if content produced by AI violate law? Similarly there are compliance challenges related to how data used for trained was procured, data prep for training is unbiased. For data governance challenges focus on determining that data produced is of right quality. Also pay attention to data sharing challenges to ensure generated data does not have privacy issues.

What are other considerations

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From the blog
Build Dataproducts

How Dataknobs help in building data products

Enterprises are most successful when they treat data like a product. It enable to use data in multiple use cases. However data product should be designed differently compared to software product.

Be Data Centric and well governed

Generative AI is one of approach to build data product

Generative AI has enabled many transformative scenarios. We combine generative AI, AI, automation, web scraping, ingesting dataset to build new data products. We have expertise in generative AI, but for business benefit we define our goal to build data product in data centric manner.

Spotlight

Generative AI slides
Learn generative AI, LLM, foundation model

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Learn to Speak the Language of Large Language Models
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