In his presentation, “What does it take to make Google work at scale?” Schwarzkopf discusses the architecture behind those 139 microseconds between submitting a search request in the Google input bar, and the pages of ads-and-search results that are returned.
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Imagine a world where commercial agreements are executed by digital smart contracts. Where the contract and payments are actually tied together by mathematical rules of the blockchain.
A commercial term like “Net-30” that obligates a business to pay its invoice in 30 days, could be automatically executed on the day it’s due. Or an agreement to pay on delivery could track that the product actually was received and signed off on as in good order, before payment is released.
Escrow systems, third-party agents, and intermediary networks could be rethought to be far more efficient.
Or perhaps even more exciting is the ability for business-to-business blockchains to enable digital native payment networks that can instantly settle funds directly between parties.
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Last year, a Spotify intern named Sander Dieleman applied a powerful machine learning technology called “deep learning” to their database, allowing the program to learn to analyze music. The neural network automatically — using nothing but raw audio data — came to recognize distinctive patterns in the music.
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How do industry experts view the development of the Internet of Things, and what would they change? A McKinsey Global Institute article.
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The sharing economy needs machine intelligence to set prices…With knowledge about the success of its tips, our system began adjusting the weights it gives to the different characteristics about a listing—the “signals” it is getting about a particular property. We started out with some assumptions, such as that geographic location is hugely important but that usually the presence of a hot tub is less so.
Dan Hill, product lead at Airbnb, wrote the lodging-rental website’s pricing algorithm.
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