AI Adoption: Myths vs. Reality
Several misconceptions persist about AI, often creating barriers to its practical applications. Let's address the most common ones.
Thoughts on AI, strategy, and the life sciences industry
Several misconceptions persist about AI, often creating barriers to its practical applications. Let's address the most common ones.
Adopting new tech is a complex, yet well-studied problem. AI, as a platform, isn't different enough (yet) to warrant a unique approach.
AI is a matter of operations, not of strategy. Its importance is hard to overstate; however, for companies to successfully embrace it, it must be positioned in the right way.
Given the current price points of LLMs, you should always design your AI workflows to incorporate multiple agents, to refine, QC, and build on each other's outputs.
The ability to feed AIs large bodies of knowledge is a game-changer that promises to reduce hallucinations and allow the automation of many more processes.
Have we already slipped into the era of artificial intelligence, without even noticing?