
How to use Google Bard in BigQuery (quickstart)
Google just announced you can use Bard in BigQuery to do Generative AI at scale. That means you can run your queries right inside of your data warehouse, where your data lives.
· Seamus AbshereGoogle just announced you can use Bard in BigQuery to do Generative AI at scale. That means you can run your queries right inside of your data warehouse, where your data lives.
· Seamus AbsherePredictions are complex, and consumer predictions for marketing aren’t an exception. In many cases, you might find yourself given the green or red light to go after a lead, prevent a churn, or approach a customer in another way that’s specific to a business goal your org has.
· Patrick DohertyAn algorithm contains the biases of its builder. At Faraday, we have a handful of approaches we use to minimize these effects at each level of our machine learning pipeline.
· FaradayUsing machine learning to identify customer personas in your data can help improve your understanding of your customer base, and with the right infrastructure, deliver personalized experiences at a greater scale.
· FaradayTo get accurate propensity predictions, you need a good propensity model. Here’s how Faraday approaches propensity modeling.
· FaradayPython-based csvkit chews through it in a respectable-and-now-expected 4m16s. xsv takes 1.8 seconds. I don't even have time for a sip of my coffee.
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