Jason Smith, CTO, AI & Analytics, Within3, describes the possibilities made by AI in supporting the life sciences sector, and how it can allow pharma experts to produce real time results and yield better insights.
Key insights:
- AI innovation in life science can support and enhance what trial teams and other life science teams can achieve.
- It can enable human decision-makers to obtain more tailored, specific and condensed conversation summaries to inform next steps.
- AI-powered natural language processing can let teams source information as quickly as possible to inform strategic decisions.
- Many pharmaceutical and medical device companies still remain reluctant to leverage the innovations of AI, with 37% of people saying they fear technology they don’t understand.
Practical, real-world applications of artificial intelligence (AI) are widely known and used by many industries. For many, the term still carries perceptions influenced by movies and science fiction. If people are new to AI, these stereotypes can be intimidating. But to people more invested in the AI space, the term connotes possibility above all else.