Accelerating Innovation by Streaming IoT Data

This case study will tell you how we partnered with a leading pet health innovator to enhance nutrition technology through a cloud-based system that uses real-time data streaming. See how we used tools like Google Cloud IoT Core and Apache Kafka to build a scalable IoT solution that processes large amounts of telemetry data from wearable sensors and beacons, providing valuable insights into pet health and behavior.

Key Highlights:

• Enabling ongoing pet health monitoring through connected wearable sensors that track sleep, activity, and eating habits for personalized nutrition.
• Launching a fully managed, event-driven platform that ensures smooth data integration from IoT devices and lab datasets for effective analysis and teamwork.
• Reducing data latency from 24-hour batches to nearly real-time streaming analytics, allowing stakeholders to quickly gain actionable insights.
• Building a secure, scalable cloud infrastructure that reduces downtime and maintenance costs, ensuring platform reliability.
• Bringing data together into a central hub to speed up product innovation and encourage collaborative research in pet nutrition.

The IoT data platform and event streaming method supported faster model deployment and better decision-making, leading to more targeted pet nutrition solutions and positioned our customer as a leader in the industry.

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