The messy truth of your AI strategies
Ryan welcomes Hema Raghavan, co-founder and head of engineering at Kumo.ai, to dive into all the messy stuff that comes with implementing AI, from pipeline sprawl to shadow AI. They discuss governance approaches like deploying models inside approved platforms and routing calls through monitored gateways, and how broken pipelines from complex feature-engineering motivated Kumo.ai’s approach of using a single foundation model with on-the-fly database queries. Episode notes: Kumo.ai allows you to train and run state-of-the-art AI models on your relational data, allowing you to make predictions about your users and transactions in seconds. Connect with Hema on LinkedIn or reach out to her at her email hema@kumo.ai. Congrats to user BalusC for winning a Populist badge on their answer to How to sanitize HTML code to prevent XSS attacks in Java or JSP?.TRANSCRIPTSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Ryan welcomes Hema Raghavan, co-founder and head of engineering at Kumo.ai, to dive into all the messy stuff that comes with implementing AI, from pipeline sprawl to shadow AI. They discuss governance approaches like deploying models inside approved platforms and routing calls through monitored gateways, and how broken pipelines from complex feature-engineering motivated Kumo.ai’s approach of using a single foundation model with on-the-fly database queries.
Episode notes:
Kumo.ai allows you to train and run state-of-the-art AI models on your relational data, allowing you to make predictions about your users and transactions in seconds.
Connect with Hema on LinkedIn or reach out to her at her email hema@kumo.ai.
Congrats to user BalusC for winning a Populist badge on their answer to How to sanitize HTML code to prevent XSS attacks in Java or JSP?.
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.