Your community is the heartbeat of the consumer expertise. When it goes down, staff and prospects get pissed off, which might result in diminished productiveness, deserted gross sales, and different unwelcome enterprise outcomes. And there’s additional frustration if customers should name or submit a assist ticket to IT. This further step slows decision. How can a company keep away from this situation?
The reply is experience-first networking, which features a sturdy community infrastructure with visibility into the way it’s performing. This method offers the absolute best expertise for community operators who should maintain the community heartbeat thrumming, in addition to finish customers who maintain the enterprise shifting.
There are two crucial components of experience-first networking. First is having a cloud-native, microservices-based structure during which features like authentication, location, and the visitor community are disaggregated. This permits employees to shortly establish and patch the perform inflicting the difficulty so the complete community service shouldn’t be affected.
The second is a well-stocked information science toolbox that varieties the muse of a synthetic intelligence (AI) pushed community. It ought to embody, for instance, conversational AI, deep studying capabilities akin to a neural community and transformer-based language fashions, and machine studying (ML) functionalities.
Bringing all of it collectively
The Juniper Mist AI™ answer combines a microservices cloud structure with AI performance to make networking predicable, dependable, and measurable with complete visibility into the consumer expertise.
Underpinning Mist AI is its cloud platform, which supplies community groups a single level of management from which to handle routers, entry factors, switches, and so on. Its microservices structure makes it straightforward to shortly repair bugs, scale providers, and add or take away options.
The Mist AI platform makes use of open APIs, making it totally programmable for automated, seamless integration throughout LANs, WANs, safety options, and extra.
As well as, the Mist AI cloud makes use of AI and information science to research community information and supply actionable insights, akin to:
- Speedy root-cause identification utilizing ML to correlate occasions
- The power to find out the potential impression of unfavourable traits utilizing time-series anomaly detection
- Quick outcomes from complicated queries utilizing pure language processing
On the coronary heart of Juniper’s AI-driven community expertise is Marvis, a digital community assistant that has been threaded by way of the supplier’s switching, routing, and safety merchandise. Marvis has collected information from world networks and the units linked to them for over 5 years, constantly studying about community points and gaining data to make higher selections.
These options have been validated in an ACG Analysis research, which discovered that Mist AI reduces hassle tickets by 90%. As well as, the analysis confirmed that over 5 years, the Mist AI platform delivers operational expense financial savings of 85% and complete price of possession financial savings of 28%.
Delivering an important consumer expertise is about all the things between the consumer and the cloud, stated Rami Rahim, CEO of Juniper Networks.
“People merely can not sustain with the duty of manually managing rising complexity and the deluge of knowledge traversing our networks,” he stated. “For this reason our dedication is delivering networks which can be extremely automated, self-running by way of intelligence and software program, and more and more by way of AI. For this reason our true north is experience-first networking.”
Discover what Mist AI can do – watch a demo, take a tour of the platform in motion, or take heed to a webinar.
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