A Quote by Anthony Goldbloom

Big data is mostly about taking numbers and using those numbers to make predictions about the future. The bigger the data set you have, the more accurate the predictions about the future will be.
With too little data, you won't be able to make any conclusions that you trust. With loads of data you will find relationships that aren't real... Big data isn't about bits, it's about talent.
The big thing that's happened is, in the time since the Affordable Care Act has been going on, our medical science has been advancing. We have now genomic data. We have the power of big data about what your living patterns are, what's happening in your body. Even your smartphone can collect data about your walking or your pulse or other things that could be incredibly meaningful in being able to predict whether you have disease coming in the future and help avert those problems.
The bigger a data set that you have, the more polls, the more surveys that you have that people undertake, the more accurate your models are going to be. That's just a fact of data science.
Never make predictions, especially about the future.
It's tough to make predictions, especially about the future.
We get more data about people than any other data company gets about people, about anything - and it's not even close. We're looking at what you know, what you don't know, how you learn best. The big difference between us and other big data companies is that we're not ever marketing your data to a third party for any reason.
It is not predictions but plans that make the future. If you want predictions, it is because you do not have the ability to make a plan and fulfill it.
It's always difficult to make predictions about the future.
It is the ability to make predictions about the future that is the crux of intelligence.
Well can I just make a point about the numbers because people talk a lot about police numbers as if police numbers are the holy grail. But actually what matters is what those police are doing. It's about how those police are deployed.
Rule 1. Original data should be presented in a way that will preserve the evidence in the original data for all the predictions assumed to be useful.
Every New Year comes with a list of predictions. Self-predictions, world predictions, how many times Lindsay Lohan will get arrested predictions, etc. I reserve the annual trend for people with genuine psychic ability and/or bloggers.
Both angels and demons are ignorant of the future, yet they make predictions. The angels do so when God reveals the future to them and commands them to prophesy, and what they prophesy comes to pass. Demons also make predictions, but these are only guesses based on what they see from afar.
Disruptive technology is a theory. It says this will happen and this is why; it's a statement of cause and effect. In our teaching we have so exalted the virtues of data-driven decision making that in many ways we condemn managers only to be able to take action after the data is clear and the game is over. In many ways a good theory is more accurate than data. It allows you to see into the future more clearly.
Science is not, despite how it is often portrayed, about absolute truths. It is about developing an understanding of the world, making predictions, and then testing these predictions.
One of the things that I think we have learned is that we should all be very careful about making predictions about the future.
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