Vinod Khosla
Vinod Khosla
Vinod Khoslais an Indian/American businessman listed by Forbes magazine as a billionaire. Khosla made his early fortune as one of the co-founders of Sun Microsystems, where he was the founding CEO and chairman in the early 1980s...
NationalityAmerican
ProfessionEntrepreneur
Date of Birth28 January 1955
CountryUnited States of America
mind succeed failing
I don’t mind failing, but if I succeed it better be worth succeeding for.
data best-things knows
One of the best things data can enable us to do is to ask questions we didn't know to ask.
past
Future is not extrapolation of past
want
You have to invent the future you want.
persistence views ebay
In my view, it's irreverence, foolish confidence and naivety combined with persistence, open mindedness and a continual ability to learn that created Facebook, Google, Yahoo, eBay, Microsoft, Apple, Juniper, AOL, Sun Microsystems and others.
thinking trends humans
We humans think linearly but tech trends are exponential.
giving succeed failing
The willingness to fail gives us the freedom to succeed.
impact perfect enemy
Letting the perfect be the enemy of the good is one of the reasons we have a coal-dependent infrastructure, with the resulting environmental impact that all of us can see. I suspect environmentalists, through their opposition of nuclear power, have caused more coal plants to be built than anybody. And those coal plants have emitted more radioactive material from the coal than any nuclear accident would have.
jobs apples entrepreneur
Imagine the world of mobile based on Nokia and Motorola if Apple had not been restarted by a missionary entrepreneur named Steve Jobs who cared more for his vision than being tactical and financial.
dream trying enough
Success comes to those that dare to dream dreams and are foolish enough to try and make them come true.
dream entrepreneur trying
An entrepreneur is someone who dares to dream the dreams and is foolish enough to try to make those dreams come true.
opportunity problem bigger
Any problem is an opportunity. The bigger the problem, the bigger the opportunity.
doctors machines algorithms
By 2025, 80 percent of the functions doctors do will be done much better and much more cheaply by machines and machine learned algorithms,
data medicine years
In the next 10 years, data science and software will do more for medicine than all of the biological sciences together.