Unlike some other industries, the risks of using generic AI are much higher in Life Sciences due to stringent regulations and rules around data and information processing.
See how you can avoid the common pitfalls of choosing generic AI and what you should require instead
- Avoid limited Siloed AI Capabilities
- Avoid Insufficient Data Security
- Ensure full Explainability & Auditability
- Specific LLM and Feature set
- Avoid Low-Quality Responses from poor prompts
- Non-Compliance with Templates, SOPs, and Guidelines
- No Wider Contextual Understanding
- Bolt-on Systems Lack the Right Architecture
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