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Organizations embracing promises of artificial intelligence
The ability to predict business outcomes affords obvious competitive advantages, but understanding why or how the outcome occurs is where artificial intelligence will shine in 2017, according to Michael Schmidt, CTO and founder of machine intelligence company Nutonian. Schmidt offers eight ways in which organizations will incorporate time series forecasting, defined as predicting future outcomes using historical datasets, into their data analysis efforts to understand what shapes the future and to change the outcome.
Predicting and preventing the next big cybersecurity attack
“Earlier this year, Dyn was hit by the largest DDoS attack on record, taking down major company websites including Netflix, Amazon, Reddit, Twitter, etc.,” Schmidt says. “Imagine if we had the anatomy of the cyberattack and the target in advance? In 2017, security teams will use AI and time series forecasting to identify items that they should quarantine and proactively investigate (i.e. honeypots). As a result, many companies will be able to mitigate the consequences and potentially prevent an attack.”