Data Lake / Data Warehouse Modernization · Document Processing · Enterprise Knowledge Search
Consider a global pharma company that would otherwise need to manually crawl through multiple platforms to identify suitable tenders among thousands available.
Reported impact
"Azure OpenAI Service's use of large language models, which are pre-trained with vast amounts of data, eliminated the need for us to spend time training models from scratch." By capturing and filtering data with more efficiency and customization, Cube RM has brought improved outcomes, visibility, and revenue to its clients.
Cube RM modernized its analytics estate on Azure OpenAI Service, Azure AI Services, Azure AI Translator, moving from fragmented legacy tooling to a governed cloud data platform. Power BI then serves dashboards, self-service exploration, and decision support to business users at scale. "Azure OpenAI Service's use of large language models, which are pre-trained with vast amounts of data, eliminated the need for us to spend time training models from scratch." By capturing and filtering data with more efficiency and customization, Cube RM has brought improved outcomes, visibility, and revenue to its clients.
Content and operational context are prepared in the application data layer, passed to Azure OpenAI for generation or extraction, stored in Azure storage services, and returned through the user-facing application to employees or customers with grounded responses.
"Azure OpenAI Service's use of large language models, which are pre-trained with vast amounts of data, eliminated the need for us to spend time training models from scratch." By capturing and filtering data with more efficiency and...
"With an advanced, user-friendly artificial intelligence (AI)-based software and Microsoft Power BI as our primary technology interface, we extract key details from tenders to deliver only the relevant ones to our clients.
Combining a Power BI interface, Azure Cognitive Services, Azure OpenAI Service, data processing and visualization capabilities, Cube RM has helped its customers discover the most relevant tenders among thousands based on their product...
Consider a global pharma company that would otherwise need to manually crawl through multiple platforms to identify suitable tenders among thousands available.
In exploring solutions, Cube RM combined the natural language processing (NLP) technologies and models that it has built with Azure OpenAI Service, and thus was able to bring much more precision to the process.
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