Juniper Mist is an AI-driven network aimed at helping organisations save costs by transforming their operations and support. Mist AI uses a combination of artificial intelligence, machine learning, and data science techniques to improve user experiences and device visibility across the entire WAN.
Juniper acquired Mist AI as a relatively young and new company in 2019 and Mist AI exists as a specialised team under Juniper that handles the AI-driven enterprise aspect of its product suite.
Below, we’ll explore Juniper Mist AI’s rise as one of the market leaders in the AI-driven enterprise space and how they aim to revolutionise the management of the network.
Juniper Mist is Now a Leader of the AI Enterprise Space
Before joining forces, Juniper and Mist were both rated highly as Visionaries in Gartner’s Magic Quadrant. However, they both still had room to grow in terms of their ability to execute and become leaders in their fields.
That came to pass when Mist AI became part of Juniper’s portfolio in 2019. The synergistic relationship between the two saw them reach the Leaders quadrant for the first time. They have now enjoyed their second consecutive year as market leaders, according to Gartner’s magic quadrant, being ahead in terms of both vision and ability to execute.
It’s a significant shift because the last two decades have passed seemingly without much change. Businesses have accepted the status quo without questioning how other vendors may help refresh or improve their networks. However, the arrival of AI has blown the doors wide open and newer, more agile players are in a prime position to stay ahead through constant innovation.
In Gartner Peer Insights, Juniper is again the leader concerning customer satisfaction, with an aggregated ranking of 4.9/5.
What Makes Juniper Mist Fundamentally Different?
Juniper, and Mist AI, take a different approach than most vendors. They effectively regard themselves as consultants whenever they engage with customers, being highly attentive to their unique needs and challenges. They understand the massive change that AI and machine learning brings to IT operations and business outcomes.
This enables them to help users achieve the following:
- Better user experiences
- Better business outcomes
Mist AI is highly focused on delivering the right infrastructure with clever software deployed over it to clients to achieve their business objectives. The full-service approach includes:
- Client-level visibility: Individual visibility into every device part of the WAN (wide area network), whether wired or wireless, including IoT devices. Mist AI can gather over 150 data points every second regarding what a device is doing on the network.
- AI-driven operations and support: AI increases businesses’ speed by providing intelligent insights into how devices operate and by delivering tailored recommendations on how the network can be optimised. It can also help provide insights into the performance and operation of IoT devices that don’t communicate in the typical fashion.
- Microservices cloud for agility: Most of the industry is still running on first and second-generation cloud technologies. These monolithic systems offer limited flexibility and scalability, without the ability to be managed globally. Mist AI has moved on to next-gen cloud-based microservices. A microservice architecture gives companies agility and the freedom to innovate while enjoying a highly stable and reliable network.
- Digital engagement with virtual (BLE): Most Mist AI deployments can have Bluetooth Low Energy (BLE) capabilities. Every device can be tracked to a precision of 30-40 inches. This allows for delivering highly differentiated services in specific use cases, like for hospitals. Banks and other businesses are also using these services to improve sustainability by optimising and reducing their physical office space. Finally, companies are using these capabilities to maximise employee experiences and productivity as employees are returning to offices, but in the context of remote/hybrid work.
Plus, all of this is underpinned by a 100% Open API-driven architecture.
Considering all this, it’s not surprising that Juniper Mist AI is making inroads among Fortune 500 companies and expanding its reach into the UK Legal market as well.
Here are some examples of these outcomes they’ve helped customers achieve:
- UPS: MTTR is down an average of 96% per ticket.
- GAP: 85% reduction in the required number of site visits by engineers.
- Walmart: Increase their daily deployment of APs from 1,000 to 3,000-3,5000 APs per night.
- Service Now: 95% reduction in outstanding user-generated support tickets per month.
Juniper Mist AI - A Vision for the Future
Mist AI now has its eyes firmly set on client-to-cloud automation and insights, as well as expanding its reach across the WAN. They aim to improve their ability to generate insights at ever more granular degrees, down to the level of individual video calls and end users.
Conclusion
Organisations need to wake up to the fact that just because a vendor is a traditional market leader doesn’t mean it will stay that way forever. The landscape is changing at an unprecedented speed, and new vendors like Mist AI are using their freedom from legacy obstacles to innovate and deliver forward-looking solutions rapidly.
Get in touch to find out how Juniper Mist AI can revolutionise the way your company thinks about wireless.
