Even after reaching the clinical trial phase, only about 10% of drugs receive approval from the U.S. Food and Drug Administration (FDA). Given these challenges, pharmaceutical companies increasingly use AI to improve the odds.

Interoperability Problems Across the Pond, Too

While the U.K. maintains a valuable stash of patient information that can significantly improve patient care and drive medical research, the data, like in the U.S., remains siloed in separate, incompatible data sets. In September, the NHS awarded a 12-month contract to the existing database provider to bring the data together. We need to pay close attention to the effort and learn how we can try to achieve the same.

AI Knows Who You Are

If AI can discern details about you from the phases you use in your online data, such as the words you use in your LinkedIn profile, how can we keep our data private? Several AI tools such as ChatGPT, Meta, and Google can use this data to accurately determine race, occupation, location, and more from benign conversations. We need protection, but by whom and how?

Is Your Success Due to Smarts, Hard Work, or Chance?

We know that sex, ethnicity, height, body type, race, talent, and effort all affect how successful you will be in your career. But what about luck? There is a long-running debate on the impact of luck on executive compensation. Luck may be something as simple as taking more chances. The more fish lines you have in a pond, the more likely you will catch a fish.

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