1. Billy Beane, General Manager of the Oakland Athletics: Moneyball: Lessons for Life & Business from Baseball’s Best GM
- He has faith in the process and if the process is correct, it will lead to better outcomes. As a society, we romanticize and celebrate the luck of a decision or a gut feel (a football coach goes for it on 4th down on their own 40 yard line with :50 to play down by a field goal)
- We should be celebrating and striving for consistency, discipline and making decision based upon data.
- The end game is to eliminate subjectivity until the data is totally pure.
- Billy typically doesn’t watch any of the games as he feels like sitting there and living it is no way to run a baseball team. Noise affects decision makers.
2. Jim Adams, Executive Director, The Advisory Board: Overview of the Healthcare Analytics Market
- Whereas Billy Beane had cultural issues to overcome old school scouts, healthcare has a data governance issue. In baseball, there is only one definition for OBP or ERA. In healthcare, there are many different standards and vocabularies. What defines a diabetic?
- The #1 request Jim gets from clients is for assistance with data governance
- Healthcare will follow other retail and move to a model of dynamic pricing such as airlines employ – you pay more to see your doctor at a less convenient time.
3. Ray Kurzweil, Director of Engineering, Google and Leading Futurist: The Acceleration of Technology in the 21st Century: Impacts on Healthcare and Medicine
- IBM’s Watson makes up for the fact that it is a weak reader (a human can better interpret and make inferences from a Wikipedia page for instance) by reading more volume than the human can.There will come a time where humans will be able to “plug-in” their brains for more horsepower much as adding more RAM to a computer.
- When we started mapping the human genome we thought that it would take decades to map the entire genome. With the law of accelerating returns, it happened in 7 years.
- By 2020, we will witness 3D printing of clothing and potentially housing.
- Humans have a linear intuition about the future, however technologies like computers, genetics, nanotechnology, robotics and artificial intelligence have proven to have exponential growth.