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Predictive analytics: Your key to preventing network failures

Identifying and pinpointing potential network failures and performance issues has long been a matter of educated guesswork, but an emerging generation of tools promises to bring greater accuracy to network reliably forecasts, allowing staff to address and remedy specific issues even before they can even begin affecting network operations.

Identifying and pinpointing potential network failures and performance issues has long been a matter of educated guesswork, but an emerging generation of tools promises to bring greater accuracy to network reliably forecasts, allowing staff to address and remedy specific issues even before they can even begin affecting network operations.

Crystal Ball of IT

is a game-changer, giving CIOs the ability to literally look into the future. “There is a growing need for networks to adapt to dynamic application demands as well as address dynamically to special events, seasonality and so on,” says Diomedes Kastanis, head of technology and innovation for Ericsson. “Although we have a lot of automation systems and rules to manage and operate networks, it still it not enough to cope with the intense changing environment and proactively adapt to changing demands.”

incorporating processes such as machine () and artificial intelligenceArtificial Intelligence knows many different definitions, but in general it can be defined as a machine completing complex tasks intelligently, meaning that it mirrors human intelligence and evolves with time. () are relatively new concepts to many CIOs. “It takes time to prove a newer technology to the enterprise market and it is still early in this space,” says Brian Soldato, a senior director at cyber securityCyber Security describes the protection of computer systems. The systems' hardware, software, as well as data which is stored in it can be stolen, damaged, taken off line etc. While there is less sensitive data, it does make sense to protect for example customer data or systems which run nuclear plants from being hacked. research firm NSS Labs. “Most of the adoption is occurring among security platforms and endpoint technologies that have as a feature.”

Making each other better

has improved significantly over the past few years, thanks to advances in and related fields. “Forecasts based on time series data, like network logs, are increasingly accurate and therefore more useful,” says Chris Nicholson, CEO of Skymind, an developer supporting the open source framework Deeplearning4j. “The level of accuracy depends on the quality of the data set,” he notes. “On some problems, can achieve a double digit increase in accuracy.”  […]

  1. SwissCognitive

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  2. Amygdala Search

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