IDG Contributor Network: Machine learning takes a load off in network management
As networks become more software-driven, they generate vastly greater amounts of data, which provides some challenges: adhering to compliance and customer privacy guidelines, while harvesting the massive amounts of data—it is physically impossible for humans to tackle the sheer volume that is created. But the vast amounts of data also provide an opportunity for businesses: leveraging analytics and machine learning to gather insights that can help network management move from reactive to proactive to assurance. This doesn’t just mean a massive shift in technology because the human element won’t simply go away. Instead, by combining human intellect and creativity with the computing power AI offers, innovative design and management techniques will be developed to build self-improving intelligent algorithms. The algorithms allow networks to operate in a way that far outweighs networks of the past.To read this article in full, please click here


Its vision is to replace the hardware, software, and services that operators have traditionally gotten from telecom vendors such as Cisco and Dell EMC.

Check Point’s mid-year report on cyber attack trends found that in 2018 new (and old) strains of malware are attacking cloud environments, mobile devices, and other burgeoning technologies.
EMA Senior Analyst Shamus McGillicuddy says this deal has less to do with Broadcom's technology strategy and everything to do with money.
Sift’s product, Cloud Hunter, uses machine learning, analytics, and graph visualization capabilities to detect and respond to threats across infrastructure-as-a-service platforms.
A former Huawei employee says he was fired for refusing to use a fake company name to gain access to the private TIP gathering. Huawei says this is just a labor dispute, and the claims are groundless.