syte built an AI-driven property platform by integrating Google Cloud’s BigQuery to consolidate data from a data lake and execute rapid spatial queries across 25 million properties, reducing search response times from 60 seconds to around 2 seconds. They further enhanced processing by employing Compute Engine for parallel processing of massive LiDAR datasets and Kubernetes Engine to deploy and scale web applications, streamlining property analysis and re-densification workflows.

Bosch Software and Digital Solutions implemented an AI-powered ecosystem by leveraging Google Cloud products to integrate sustainability into business operations. They used Kubernetes to manage the lifecycle and scalability of solutions across multiple regions, BigQuery to build an AI-based cognition engine for real-time insights, and Firebase to alert specific user roles, thereby streamlining operational sustainability.

Bosch SDS deployed an AI-powered cognition engine by processing IoT sensor data on Google Cloud, using BigQuery for real-time insights and data analysis. They implemented Kubernetes for scalable lifecycle management across regions and integrated Firebase to provide real-time alerts to specific user roles. This approach digitizes sustainability tracking and optimizes operational decision-making through actionable, energy-efficient dashboards.