Shaip is a leader and innovator in the structured AI Data solutions category. Our strength is in the ability to bridge the gap between industries with AI initiatives and the high-quality data they require. The ultimate benefit we provide to our clients is the vast amounts of structured data to train their AI models with superior accuracy and the desired outcomes. And it’s all done right the first time to adhere to the most demanding project's specifications. We have the people, processes and human in-the-loop platform to meet these challenging AI projects and we do it within the set timeframes and budgets. This not only enhances an organization’s ability to get ahead in launching their AI products that work as designed, but they can reach their target markets whether they are local, regional, or worldwide. This is the Shaip difference, where better AI data means better results for you.
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Based on our record, Evidently AI seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
It is doable. However the main focus of MLFlow is in experiment tracking. I would suggest for you to look into another monitoring tools such evidentlyai . You can track more things than performance (e.g.data drift). Which may be helpful in a production setting. Source: almost 2 years ago
Evidently is an open-source Python library that analyzes and monitors machine learning models. It generates interactive reports based on Panda DataFrames and CSV files for troubleshooting models and checking data integrity. These reports show model health, data drift, target drift, data integrity, feature analysis, and performance by segment. - Source: dev.to / over 2 years ago
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