Use case type
Tooling that lets teams build, test, and ship AI applications and agents without assembling the stack themselves.
66
60
12
31 mo
Adoption over time
By case publish month · completed months only
38 cases documented across 37 months (Jul 23 – Jul 26), peaking at 8 in May 2026.
12 earlier cases before Jul 23 not shown
Each column counts every documented case of this type by its publish month, across the full corpus. The in-progress current month is excluded from columns and surfaced separately, and cases published before the charted window are summarized as earlier cases instead of plotted.
Company examples
10 shown from 66 use cases
Halodoc is an Indonesian digital healthcare platform working to improve healthcare access across Indonesia's 17,000 islands.The company partnered with AWS Enterprise Support to accelerate its cloud transformation, improve reliability, strengthen security, and introduce AI-driven capabilities with Amazon Bedrock.
CytoReason is an Israeli biotech and data platform that creates AI-based computational disease models using public and proprietary data.The company maps human diseases tissue by tissue and cell by cell to help pharma customers shorten clinical trials and reduce drug development costs.CytoReason moved PostgreSQL databases and analytics workloads to BigQuery to store and query very large datasets at speed.It also uses Google Kubernetes Engine for autoscaling and high-performance computing, and worked with WideOps to optimize Kubernetes infrastructure costs.The article says CytoReason built its own high-performance computing solution internally on GKE and uses Cloud Storage plus billing tools for cost optimization.
TELUS modernized its legacy on-prem data stack on Google Cloud to create a unified Enterprise Datahub for analytics and gen AI use cases.The company restructured more than 200 enterprise pipelines and migrated over 14 petabytes of data to BigQuery, using Cloud Composer and Dataflow for orchestration and transformation.TELUS partnered with Google Cloud and Onix to support code conversion, validation, and knowledge transfer for the multi-year modernization.
Datature provides a no-code computer vision platform that runs on Google Cloud and uses Cloud Storage and Google Kubernetes Engine as core infrastructure.The platform supports generic pipelines for data preprocessing, model training, and deployment across domains such as medical, manufacturing, retail, and utilities.
Vodafone built a centralized AI platform called AI Booster on Google Cloud to help data scientists reuse standard tooling and pre-built pipelines across multiple markets.The platform was designed to accelerate the path from proof of concept to production by automating environment provisioning and applying security and privacy guardrails.Vodafone uses the platform across its telecom operations to improve AI development efficiency and support more scalable customer experience initiatives.
Chironix, a software development company focused on AI and robotics, is using Google Cloud to support a genomics project helping Aboriginal Australians connect with their ancestry.The company utilizes the Cloud Life Sciences API and Google Cloud Compute Engine to run a Genome Analysis Toolkit pipeline for managing and analyzing large genomic datasets securely.The initiative, called the Aboriginal Heritage Project, collaborates with researchers and indigenous consultants to build a genetic map of Aboriginal Australia using hair samples and genealogical data.By leveraging Google Cloud's scalable infrastructure and machine learning, Chironix reduced the genomic data analysis from several months to weeks while providing a secure environment for sensitive data.The project empowers Aboriginal Australians to learn about their ancestral homelands and helps preserve cultural heritage through modern genomic science.
The Foundation for Precision Medicine aimed to detect Alzheimer's disease early, months or years before symptoms manifest, to enable timely treatment and alter disease trajectory.They migrated data analysis and machine learning model development to Google Cloud, leveraging BigQuery for fast processing of large electronic health record datasets and virtual machines for scalable compute power.This enabled faster, more accurate machine learning algorithm development and collaborative research, reclaiming significant researcher time for scientific discovery.
The Indiana Secretary of State transformed over 20 million historical government records into searchable intelligence using Google Cloud's Gemini and Vertex AI, enabling rapid data insights and modernized legacy systems.They deployed bilingual AI-powered conversational agents Liz and Otto to provide 24/7 resident support in English and Spanish, significantly increasing team capacity and user access.Additionally, the office launched a Notary Learning Management System (LMS) powered by AI on Google Kubernetes Engine, training over 50,000 statewide notaries with interactive micro-learning, leading to an award for Best Application Serving the Public at the State Level.
Manipal Hospitals deployed an AI-powered ePharmacy application and nurse handoff solutions to improve medication ordering and nurse shift handoffs, leveraging Google Cloud Vertex AI, Gemini 1.5, Apigee API Management, BigQuery, Cloud Healthcare API, Looker, and Google Kubernetes Engine.These solutions aim to reduce patient medication order time and nurse handoff delays to improve patient care and operational efficiency across their multi-hospital network in India.Deloitte supported the implementation as a partner, guiding integration and ensuring scalable infrastructure and analytics.The ePharmacy app allows patients to view prescriptions, order medications, and manage pickups or deliveries digitally, reducing order time from 15 minutes to under 5 minutes.The nurse handoff solution automates report generation summarizing patient status and treatment changes, reducing handoff time from 90 to 20 minutes per nurse.
Dasa, Brazil's largest integrated health network, implemented an OCR platform using Google Cloud's API Vision and Document AI to digitalize and automatically read digital and handwritten medical prescriptions, integrated with their Nav digital health platform.The solution was designed to improve patient experience by speeding up test and appointment scheduling, removing the need for manual entry of test names.The OCR platform has processed over 700,000 prescriptions with 97% of readings responding in under 15 seconds, serving 360,000 monthly requests, and improving scheduling conversion rates by 10%.This implementation reduces call center scheduling calls and enhances patient service and digital journey experience.
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