Conference:  OpenAI + Data Forum 2022

Authors: Edward Cui

2022-06-21

High-quality data is the bottleneck of AI innovation in both enterprises and academia, a neutrally-governed open data community could be the key to solving this Community-led efforts to solve 3 critical problems in open data: 1.Dataset format: an interoperable data structure. 2.Dataset standard: unify open dataset standards in collecting, sharing and exchanging to promote open data collaboration and reduce liability risks 3.Dataset licensing: standardize data lineage and license review process to reduce contributors and distributors’ liability risks

Conference:  Transform X 2021

Authors: Drew Conway, Cassie Kozyrkov, Deepna Devkar, Jaclyn Rice Nelson

2021-10-07

Hosted by Tribe AI. Poor data quality. Inability to access the right talent. Failure to get models into production. When it comes to moving up the AI adoption curve, what's really holding businesses back? In this panel, you'll learn how technical leaders at enterprises like Google, CNN, and TwoSigma think about building higher performing teams and operationalizing machine learning projects to deliver business value in production.