Data-driven embryo assessment
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Fairtility developed its AI-powered IVF solution, CHLOE, leveraging Google Cloud’s robust infrastructure to analyze thousands of data points daily for insights on embryo and egg viability. The system is implemented across 100 global clinics with remote deployment and near real-time updates, streamlining operational workflows and aiding embryologists with faster, data-informed treatment decisions.
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50% increased developer efficiency; 60% improved lab workflow efficiency
77
AI use cases in
Healthcare
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Cactus Life Sciences implemented Microsoft 365 Copilot to automate routine tasks and augment the generation of scientific content under human oversight. They integrated the tool into their Microsoft 365 workflows to assist with drafting, editing, and approving complex scientific communications, streamlining content creation and dissemination processes. This approach improved the efficiency of internal content workflows enabling faster communication of critical scientific data to stakeholders.
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Indegene integrated Microsoft 365 Copilot into its suite of productivity tools, including Word, Excel, PowerPoint, Outlook, and Teams, to automate routine email responses, document summarization, data analysis, and RFP development. The solution was implemented across departments such as content, pre-sales, finance, and project management, ensuring stringent data security and privacy standards while streamlining critical business workflows.
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Ontada leveraged Microsoft’s Azure OpenAI Service Batch API and Azure AI Foundry to build its ON.Genuity platform, which processes 150 million unstructured oncology documents to automatically extract nearly 100 critical data elements across 39 cancer types. They integrated the new platform with their structured iKnowMed system using Azure Databricks for data ingestion and Azure Document Intelligence for text extraction, transforming manual chart review processes into an automated workflow that supports clinical decision-making and life science product development.
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151
companies using
Data Agents
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wealthAPI implemented a next‐gen contract detection solution by integrating DataStax Astra DB on Google Cloud and leveraging Google Gemini models for AI‐powered analysis. They deployed DataStax’s vector search and real‐time insights capabilities to scale contract detection across millions of users in less than three months, streamlining wealth management workflows by dramatically reducing response times and efficiently handling massive data volumes.
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Aura Intelligence integrated Anthropic's Claude via Amazon Bedrock into its data pipeline to automatically classify over 200 million job titles and industry pairings from multi-language data, replacing manual lookups and fuzzy matching. They fine-tuned foundation models on proprietary datasets and leveraged AWS infrastructure, including SageMaker and prompt management, to automate QA, report generation, anomaly detection, and real-time hiring trend analysis.
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LaunchNotes leverages Claude in Amazon Bedrock in their product 'Graph' to transform engineering data into actionable insights. Graph functions as an ETL platform with Claude managing data pipelines, helping engineering managers understand development metrics, reduce incident identification time, automate updates, and generate customized release notes and technical documentation.
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263
solutions powered by
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TCS partnered with Google Cloud to integrate advanced AI and generative AI capabilities into retail service offerings. They launched the Google Cloud Gemini Experience Center at their Retail Innovation Lab in Chennai, enabling retail clients to ideate, prototype, and co-develop tailored AI solutions that optimize supply chain, warehouse receiving, customer insights, and content creation. This approach automated processes using tools like Vertex AI Vision for warehouse receiving and leveraged Vertex AI with Gemini 1.5 Pro and speech-to-text to transform service centers.
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Deutsche Bank developed DB Lumina, an AI-powered research agent built on Gemini and Vertex AI through a partnership with Google Cloud. The solution automates the creation of financial research reports by rapidly condensing extensive market data—such as converting a 400-page report into a three-page summary—thereby streamlining analysis workflows while maintaining rigorous data privacy standards.
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NVIDIA partnered with Google Cloud to enable on-premises agentic AI by integrating Google Gemini models with NVIDIA Blackwell platforms and Confidential Computing, ensuring data sovereignty and regulatory compliance for sensitive enterprise operations. The solution further optimizes AI inference and observability by deploying a GKE Inference Gateway alongside NVIDIA Triton Inference Server, NVIDIA NeMo Guardrails, and NVIDIA Dynamo to enhance secure routing and load balancing for enterprise workloads.
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15
AI use cases in
Middle East
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Implemented a hybrid cloud architecture by moving one-third of its servers to Azure public cloud and another third to Azure Local for edge capabilities, managed via Azure Arc to seamlessly integrate on-premises and cloud environments for advanced industrial AI use cases.
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KMS Lighthouse, a global technology company specializing in organizational knowledge management solutions, integrated Azure OpenAI Service into their platform to assist companies with content creation. The AI helps content authors be more efficient by generating summaries, automatic responses, enhancing content in knowledge articles, and producing FAQs and answers.
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Qatar Charity partnered with Netways to implement INNOV8 for Copilot Studio on a unified cloud-based call center platform built on Microsoft Azure and Dynamics 365 Customer Service, consolidating disparate communication channels into one integrated interface. They leveraged low-code tools such as Microsoft Power Apps and Azure Logic Apps alongside AI-driven automation via Microsoft Copilot Studio and Azure AI Services to streamline call handling processes, consolidate data management, and reduce IT maintenance complexity.
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