Home > Search Results

Large Margins


sort by: Relevancy | Title | Rating try advanced search for more options

  1. Reedy explains that eBay has 670 million page views a day, 120 million searches, and 4 billion database calls. She talks about how eBay uses a special platform to handle this large volume.

  2. Wallace describes the various steps he takes at KLA-Tencor to ensure that their technology doesn't get outdated by a fresh start-up.  He discusses a unique organizational structure that fosters growth and innovation, an investment arm of the company which monitors start-ups, and large financial barriers to entry.

  3. Set your business model sights to large.  Think globally, use multiple languages, and build your software products to be scalable.  Not only will this improve your own company's growth, says Google Analytics' Group Product Marketing Manager Brett Crosby, but it makes you a more appealing fit for acquisition by a larger player.

  4. Limit theorems, Markovs inequality theorem, Chebyshevs inequality theorem, Law of large numbers.

  5. Carol Bartz, president and CEO of Autodesk, Inc., argues that entrepreneurship is more important in large companies. The companies that survive do so because they know how to innovate, take risks, and reward risk-taking organizational behavior and structure.

  6. Limit theorems, Markovs inequality theorem, Chebyshevs inequality theorem, Law of large numbers.

  7. Bellas talks about where innovation is currently happening in biotech and medical device companies. The large pharmaceutical companies aren't covering the same innovative ground as the smaller companies, which is a trend seeing in every tech field.

  8. Zuckerberg discusses the evolution of Facebook's founding team from a bunch of college friends to a large team of several engineers, its changing dynamics and his role as a leader in the company.

  9. Levinson believes it is easy to feel like a little fish in a big pond when you're starting your company. He talks about leveraging what you have to make your company stand out from the rest, and it all comes back to customers.

  10. Most people might assume that Stanford University generates a large number of high profit licenses. Ku explains what the financial numbers really look like on average.

  11. (Long-26 minutes) Presentation on spreadsheet to show that the normal distribution approximates the binomial distribution for a large number of trials.

  12. Is the stimulus large enough to offset the demand shock caused by the contraction in credit? Will it lead to inflation?