AI-powered diagnosis for India with SmartQR
SmartQR accelerates time to market with AI-powered diagnostic solutions and reduced development time by 20% with Google Cloud
Why SmartQR on Google Cloud?
SmartQR chose Google Cloud primarily due to its scalability, security, and compliance features. The company needed a cloud provider capable of handling large medical datasets, training AI models efficiently, and ensuring patient data privacy. Google Cloud's robust infrastructure, pre-built AI tools, and compliance capabilities met these critical requirements, enabling SmartQR to develop and deliver AI-powered diagnostic solutions effectively and securely.
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Achieve Scale With Google Cloud
SmartQR uses AI and cloud tech to modernize health diagnostics. They turned to Google Cloud to help them reach a larger market, handling more users and data without performance issues. Google's AI tools sped up development, cut costs, and improved diagnosis accuracy. SmartQR also streamlined operations, boosting efficiency by 30%. This meant better access to healthcare for millions in India.
Improved Accuracy With TensorFlow
SmartQR leverages Google Cloud's comprehensive suite of services to provide the scalability and reliability to achieve its goals. Cloud Run and Cloud Functions streamline development, while Vertex AI powers AI and ML outputs. BigQuery and Pub/Sub handle data storage and pipelines. Google Kubernetes Engine enables scalable containerized workloads. Compute Engine and Cloud Storage provide virtual machines and storage. Security Command Center helps maintain HIPAA compliance. TensorFlow accelerates development and improves accuracy.
Managing these large volumes of sensitive and diverse data, including medical images, patient records, and diagnostic reports, in accordance with strict compliance requirements, was essential to our business. This led us to Google Cloud.
Sambit Ghosh, Founder and Group CEO, SmartQR
