Summary of posts on DATA+AI Summit 2023 (June 28, 2023)

Introduction

AP Communications has developed a portal site for DATA+AI SUMMIT 2023 in collaboration with local participants and members watching from Japan to deliver information about the event. [ This special site]

June 28, 2023 Data +AI Summit Post List

Data Analytics Visualization and BI

• Jet Streaming Data and Predictive Analytics

• How Rec Room Processes Billions of Events Per Day with Databricks and RudderStack

• Data Democratization at Michelin

• Building and Managing a Data Platform for a Delta Lake that Exceeds 13 Petabytes and Has Thousands of Users: AT&T's Story

Data Engineering

• Taking Your Cloud Vendor to the Next Level: Solving Complex Challenges with Azure Databricks

• Introduction to Data Engineering on the Lakehouse

• Databricks Connect Powered by Spark Connect: Develop and Debug Spark From Any Developer Tool

• Data Quality: Fast and Slow

Data Governance

• Introduction to Governance on the Lakehouse for Data, Analytics and AI

• Multicloud Data Governance on the Databricks Lakehouse

• Managing Data Encryption in Apache Spark™

• How Comcast Effectv Drives Data Observability with Databricks and Monte Carlo-01

• How Comcast Effectv Drives Data Observability with Databricks and Monte Carlo-02

Data Sharing

Data Strategy/management/Culture

• Getting Insight From Anything: Gathering Data With IoT Devices and Delta Live

• Optimizing Batch and Streaming Aggregations

• The Future is Open: Data Streaming in an Omni-Cloud Reality

• Using Lakehouse to Fight Cancer: Ontada’s Journey to Establish a RWD Platform on Databricks Lakehouse

• Build Your Data Lakehouse with a Modern Data Stack on Databricks

Machine Learning

• Building a Real-Time Model Monitoring Pipeline on Databricks

• Real-Time ML in Marketplace at Lyft

• Labcorp Data Platform Journey: From Selection to Go-Live in Six Months

• Ray on Apache Spark™　Part 1

• Ray on Apache Spark™　Part 2

Others

Conclusion

That's all for this article.

Thank you for reading until the end. We provide a wide range of support, from the introduction of a data analysis platform using Databricks to support for in-house production. If you are interested, please contact us.

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Translated by Johann