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. How are you looking at model evaluation for cases where data adapts rapidly? The same applies for buying a car with Capital One. KM: Final question before we end the session.

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. How are you looking at model evaluation for cases where data adapts rapidly? The same applies for buying a car with Capital One. KM: Final question before we end the session.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Creating An Information Edge With Conversational Access To Data

Topbots

Adaptability over time To use Text2SQL in a durable way, you need to adapt to data drift, i. the changing distribution of the data to which the model is applied. For example, let’s assume that the data used for initial fine-tuning reflects the simple querying behaviour of users when they start using the BI system.

article thumbnail

How MLCommons is democratizing data with public datasets

Snorkel AI

For instance, if you’re interested in a problem like testing a conversational AI solution or detecting out-of-distribution data, your ability to do that and reason about it is determined by your ability to have a great dataset. Peter Mattson: I think the rate of data drift is highly problem sensitive.

article thumbnail

How MLCommons is democratizing data with public datasets

Snorkel AI

For instance, if you’re interested in a problem like testing a conversational AI solution or detecting out-of-distribution data, your ability to do that and reason about it is determined by your ability to have a great dataset. Peter Mattson: I think the rate of data drift is highly problem sensitive.