How Semios uses imported and remote models for inference with BigQuery ML

Channel:
Subscribers:
274,000
Published on ● Video Link: https://www.youtube.com/watch?v=jFAPWSYlraQ



Duration: 10:53
181 views
7


in this video, we'll walk you through new inference engine feature of BigQuery ML and demonstrate how How Semios uses imported and remote models for inference with BigQuery ML

Learn more about BigQuery ML → https://goo.gle/3FU7pLV




Other Videos By Google Cloud


2023-04-04Episode 30: How Auto Trader transitioned to the cloud to analyze tricky customer data
2023-04-04Building an adaptable organisation without ‘change fatigue’
2023-04-04What is the true role of the CIO?
2023-04-04This is what helps SEB to find, attract and retain great tech talent
2023-04-03Introducing AlloyDB Omni
2023-04-03Proactively detect & investigate anomalies & data quality issues in BigQuery with Telmai
2023-03-31Delivering Cloud-Native Network Transformation
2023-03-31Davivienda Adopts Chronicle SIEM to Reduce Reliance on Manual Processes and Increase Visibility
2023-03-31Capture consumer perspectives for CPG using NLP and analytics with Harmonya and Google Cloud
2023-03-31Deliver your AI solutions up to 100 times faster with Google Cloud partner, Snorkel AI
2023-03-31How Semios uses imported and remote models for inference with BigQuery ML
2023-03-30Network modernization - how can CSPs start now?
2023-03-30Elisa Polystar and Google Cloud partner to bring the power of analytics and automation to CSPs
2023-03-30Building a conversational bot with Google Cloud Gen App Builder
2023-03-30Google Data Cloud & AI Summit 2023: Reveal opportunities to transform your business
2023-03-29Topaz - Canada
2023-03-29Reimagine conversational experiences with Gen App Builder
2023-03-29Make data more accessible and useful with Gen App Builder
2023-03-27Mobile World Congress 2023
2023-03-24Vint Cerf on Google Cloud Digital Leader
2023-03-24Achieve greater efficiency and improved business performance with Cloud SQL