A Quote by Jerry Yang
There's definitely a huge opportunity for businesses to transform their operations and decision making by using data.
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My Ph.D. is in operations research. I was interested in making things work better and using mathematics to help do that. So operations research is what I studied as an undergraduate and graduate student.
Every day we go over data and use science and data to drive policy and decision-making.
Errors using inadequate data are much less than those using no data at all.
What I learned from my work as a physician is that even with the most complicated patients, the most complicated problems, you've got to look hard to find every piece of data and evidence that you can to improve your decision-making. Medicine has taught me to be very much evidence-based and data-driven in making decisions.
You have to be willing to have the decision-making follow the data.
Using the ‘military decision-making process’ is extremely valuable when making policy decisions.
There is a huge need and a huge opportunity to get everyone in the world connected, to give everyone a voice and to help transform society for the future. The scale of the technology and infrastructure that must be built is unprecedented, and we believe this is the most important problem we can focus on.
With the communication internet, whole industries have been disrupted. You're in the publishing industry, you understand that. Before, we had newspapers, magazines - now you're on the web. I'm in book publishing. I don't have to tell you what's happened to us. Television has taken a hit. The music industry. But, thousands of new businesses have emerged on this new communication revolution platform. Not just Google, Facebook, and Twitter. There are thousands of operations. Businesses that are doing the platforms, the apps. They're mining the big data. They're creating the connections.
When I talk about the ability for fintech to promote kind of economic growth and productive citizens coming in, using different data and being able to lend to small businesses, see those small businesses start to grow - of course, that means more money for their families, you know, the small-business owner families. They start to hire people.
One third of the economy goes through 'QuickBooks' in terms of businesses invoicing other businesses. Each invoice contains a connection between vendors, suppliers, and customers, and also the price of that connection. Representing the payment graph is huge opportunity and something no other company can do.
The Pentagon should use data to guide financial decision-making.
The data is clear: If you give a woman an opportunity, she will make a huge difference.
A lot of U.S. businesses are really going into the agenda of sustainability, and some are making their own commitments in emissions reductions in their own operations.
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.
Watson augments human decision-making because it isn't governed by human boundaries. It draws together all this information and forms hypotheses, millions of them, and then tests them with all the data it can find. It learns over time what data is reliable, and that's part of its learning process.
If you're going to decide to run a data-driven campaign, decision-making has to follow it.
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