GENERATIVE AI
Blog Writer Genie: Commercial Pharma content creation
Technical teams are rich in knowledge, but translating that expertise into engaging written content is another story. Engineers and specialists often find it difficult to turn their deep insights into accessible, compelling articles for broader audiences.
The traditional process of creating technical content—research, writing, editing, and formatting—can be slow and resource-intensive. On top of that, it’s tough to strike the right balance between technical depth and readability, especially when tailoring content for different types of readers. This often leads to:
- Delays in publishing
- Inconsistent quality
- Underutilised technical talent
In short, content creation becomes a bottleneck—one that affects both productivity and impact.
Allot’s Blog Writer Genie is a comprehensive solution for content creation in a predefined format, built entirely on SnapLogic’s Genai platform. The system combines large language model technology with structured methodologies (SCIPAB) to transform how technical teams approach content creation. It effectively integrates internal research data with external public domain data to develop content in the defined format.
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Unlocking Insights from Pharma Field Force notes with Gen AI
In the drug commercial world, the insights captured by the field team are invaluable. In Veeva Vault, notes captured by Key Account Managers (KAMs) and Medical Science Liaisons (MSLs) following interactions with healthcare professionals are typically stored as annotations. While these notes contain valuable insights, they often remain unstructured, underutilised, and eventually lost in the system.
At Allot, we harness the power of Generative AI to transform this untapped data. By sourcing and processing these notes through the SnapLogic Gen AI platform, we extract actionable insights that empower field teams, enhance operational efficiency, and inform smarter marketing strategies.
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Enhance the drug commercialisation strategy by utilising health inequality data
In the UK, health inequalities focus on understanding and addressing the unfair and avoidable differences in health outcomes across the population. These differences are influenced by factors such as social conditions, socioeconomic status, ethnicity, and geography, affecting life expectancy, health conditions, and access to care.
The NHS has employed several key methods to assess health disparities, including the NHS Health Inequalities Dashboard, the Core20PLUS5 Framework, and the Index of Multiple Deprivation (IMD).
We aim to advance this process by exploring the application of Generative AI (Gen AI) to automate and accelerate the analysis of health inequality data for drug commercialisation strategy.
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