The AI in Business Podcast
Overcoming the Data and Talent Challenges of AI in Life Sciences
This episode isn’t summarized yet
Create a free account and summarize it. In a few minutes you’ll have the key takeaways and a section-by-section summary.
Show notes
In this episode of AI in industry, Innoplexus CEO Gunjan Bhardwaj explores how pharma giants are working to overcome two critical challenges with AI: Data, and talent.
Pharmaceutical data is challenging because the same term (say "EGFR") might be referred to as a "protein", a "biomarker", or a "target". Gunjan explores how this kind of relevance and context for data - and how pharma companies may need to hire the talent issues involved with making life sciences and computer sciences teams work together productively.
See the full interview article online at:
techemergence.com/overcoming-data-talent-challenges-ai-life-sciences