Goldman Sachs has just led a $15 million funding round for
Kensho,
a financial data service that should have analysts quaking in their
boots. The company is seeking to replace equity analysts with software.
Here's what Kensho is trying to do, in its own words:
Kensho harnesses massively-parallel statistical
computing, user-friendly visual interfaces and breakthroughs in
unstructured data engineering to create the next-generation analytics
platform for investment professionals.
Addressing the most significant challenges surrounding
investment analysis on Wall Street today — achieving speed, scale, and
automation of previously human-intensive knowledge work — Kensho's
intelligent computer systems are capable of answering complex financial
questions posed in plain English, and in real-time.
If Kensho's claims are accurate, it should send a shiver down the
spine of every financial analyst and researcher. Previously, the huge
and growing amount of data available hasn't harmed analysts — the
numbers are often useless without some interpretation. But if that data
can be interpreted automatically, it's bad news for researchers and
analysts. They might not be needed anymore if a machine can do the
interpreting faster and better.
This process isn't just something that's hitting analysts.
White-collar jobs could be replaced by algorithms and robots all over
the place. Computers and robotic automation have replaced a huge
proportion of jobs in manufacturing and agriculture in the past hundred
years, but the trend isn't likely to spare service-sector desk-based
workers.
Platforms like Narrative Science
have already started to do this with journalism,
with firms' financial statements quickly turned into news articles by
the software. The stories are often indistinguishable from regular
human-written news. A combination of firms like Kensho and Narrative
Science mean you could soon be reading an article written by a robot
journalist, based on research done by a robot analyst.
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