Automating data labeling
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Roche, one of the world's largest biotech companies, uses AI Classification in Google Drive to automate the labeling and classification of millions of files. By implementing AI-powered data labeling, Roche enhances data security, standardizes the labeling process, reduces manual workload, and empowers security teams to implement more effective controls.
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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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24
companies using
Security Agents
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Integrated Microsoft 365 E5 platform with Microsoft Security Copilot to automate and centralize incident response, authentication, and security monitoring across multiple digital tools.
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AES deployed generative AI agents built on Vertex AI and Anthropic’s Claude models to overhaul its health and safety audit processes. They connected Claude via API calls within the Vertex AI environment, addressing security through configured service accounts and leveraging Vertex AI Model Garden for simplified deployment. This automation streamlined document reviews for large, multilingual audit files, significantly reducing manual labor.
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Stairwell uses Anthropic's Claude to analyze and summarize complex security data, helping protect companies from sophisticated cybersecurity threats. Claude's large context window allows Stairwell to process security data with over 40,000 characters and its ability to understand technical data without extensive prompt engineering enables Stairwell to convert technical security findings into clear, actionable insights for security teams of all experience levels.
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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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174
AI use cases in
Global
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Quillit integrated Anthropic’s Claude to automate qualitative research tasks by summarizing interview transcripts, generating contextual citations, and threading conversation data into comprehensive reports. They implemented the AI tool into their existing research workflow within three months, streamlining report writing, transcription, and analysis while ensuring data security and high precision.
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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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Quantium deployed Anthropic's Claude across its organization to empower over 1200 employees in functions such as coding, proposal drafting, training development, and leadership coaching. They implemented the AI solution by launching an "ALL IN on AI" strategy with clear guidelines, practical guardrails, and comprehensive hands-on training programs integrated into daily workflows. This approach streamlined routine tasks and enabled teams to focus on strategic initiatives.
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