As CEO of EfficiencyTactics ApS (AI advisory and upskilling company supporting the life sciences sector) and Startup mentor (via DTU Skylab - life science incubator) I spar 2 topics regularly with my clients:

1) How to protect the data / what AI licences to buy / what governance or policies to put in place to protect the sensitive, strategic and IP data

2) Is AI really for biotech companies? If yes - how to start? There is a misconception that structured data is the only way to implement AI (that is worth the time and money investment) and Generative AI is still - "for enthusiasts”.

Lastly: in terms of startups - most startups, even though they use AI a lot, have not been trained in effective prompting and strategic applications. Therefore, they often don’t harness the strategic advisory capabilities that they could benefit from.

In this session:

• I will tell you what AI licences most early companies have & why that’s dangerous + how to improve that
• Tell you where most biotechs are on their AI journey
• And give you a glimpse at what structured Generative AI prompts for strategic advisory look like - so you can decide if that’s something you want to pursue(you should). 

This is equally important to startups as to investors, who are more and more often reaching out to me wanting to secure their investments in the age of AI.