Machine learning

Machine learning continues to be an essential tool in fighting increasingly complex hacking schemes. When it comes to fintech and the potential draining of billions from bank accounts, AI will be even more important to combat increasingly complex attacks. Engineers must be careful to track how their systems behaviors respond to security threats, however, or risk missing out on uncovering exactly which vulnerabilities exist.
If there is one trend that is expected to dominate cloud vendor priorities in the upcoming year it is machine learning and artificial intelligence. All three of the major vendors made big announcements in 2016 related to this field. Google released TensorFlow, an open source machine-learning platform. Microsoft introduced a cloud-based platform for machine learning and Amazon announced three new machine learning services at is re:Invent conference. Expect the drumbeat of ML and AI news to continue into 2017, with this technology becoming easier for everyday developers to use and integrate into applications they’re building atop these cloud platforms.

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