Biopharma's Tech Adoption Challenges

The video discusses the role of Benchling in modernizing biotech R&D through software solutions. It highlights challenges in information sharing and technology use in the biotech industry, emphasizing the need for digital transformation. The state of tech in biopharma report reveals excessive software use and data silos. AI and machine learning are explored as promising yet challenging areas due to talent gaps and tool limitations. Benchling's efforts in automation and data integration aim to address these challenges, enhancing scientific progress.

What insights were gained from the state of tech in biopharma report regarding digital transformation?

In what ways can automation and machine learning improve scientific experimentation?