Remove Conversational AI Remove Data Drift Remove Explainability
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Capital One’s data-centric solutions to banking business challenges

Snorkel AI

For example, when customers log onto our website or mobile app, our conversational AI capabilities can help find the information they may want. Together, these data ops efforts ensure that model development time is efficient, model performance is robust, and teams focus more on innovation and customer experience, which is what matters.

article thumbnail

Capital One’s data-centric solutions to banking business challenges

Snorkel AI

For example, when customers log onto our website or mobile app, our conversational AI capabilities can help find the information they may want. Together, these data ops efforts ensure that model development time is efficient, model performance is robust, and teams focus more on innovation and customer experience, which is what matters.

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Creating An Information Edge With Conversational Access To Data

Topbots

We will focus on the six requirements that seem most important for the task: accuracy, scalability, speed, explainability, privacy and adaptability over time. First, Text2SQL is typically applied in a conversation setting where predictions are made one-by-one. the changing distribution of the data to which the model is applied.