How Artificial Intelligence is Changing the Landscape of Wi-Fi
Artificial Intelligence (AI) was everywhere in 2018 and whilst there is plenty of buzz surrounding it there are still few practical applications of it. Mobliciti’s new Wi-Fi partner Mist is one such business who has embraced AI from the outset. Where has Wi-Fi come from and how is Mist changing the landscape?
How has Wi-Fi evolved?
Whilst the genesis of Wi-Fi can be traced back to 1971, it has dramatically evolved since then to become an everyday essential in both our personal and professional lives with access points now available at home, in the workplace and public hotspots.
With the advent of the iPhone and subsequent smart devices in 2007, the demand for Wi-Fi has grown staggeringly. The average user now has 3 devices or more – all of which demand fast and secure Wi-Fi. As our dependence on Wi-Fi grows, as does our requirements for it to be reliable and predictable. However, with over 90% of Wireless LAN systems in current use based on architecture designed over a decade ago, many are out-dated and don’t match the needs of their users. Although Wi-Fi’s growth has seen greater convenience and use for devices, major outages can cause havoc for users, disrupting their work, education and home environments.
To meet ever-growing expectations, better, faster, smarter Wi-Fi is required. This is where Artificial Intelligence (AI) advancements can help us to match and exceed expectations.
A New Way
The integration of AI in WI-FI has been pioneered by wireless network company Mist, resulting in the world’s first AI-driven WLAN, designed specifically for the smart device era.
Mist’s AI and WLAN service are transforming wireless by constantly analysing data, which in turn leads to it learning patterns, trends and warning signs within a system. Through this, AI is then able to notify the IT Team of real-time predictive problems, alerting them to potential Wi-Fi issues before employees and customers are made aware. Whilst still in its youth, companies are subsequently able to use Mist’s AI driven helpdesk tool, Marvis, to improve technical support and manage their infrastructure. The AI efficiently handles lower-level support work, thus enabling staff to focus on other matters.
Mist’s micro service cloud model and standardised software remove the requirement of expensive custom-built specialist software tailored for individual companies, drastically speeding up the process. By analysing the company’s data, in addition to opt-in anonymous reference data, Mist can identify network problems. It’s simple to use: type a question into the search box, e.g. “Why is Client XXX having problems?” and it will provide you with easy-to-digest issues it has picked up.
A key requirement for AI is access to a large amount of high-quality data for it to learn from. Mist’s AI securely gathers relevant data, using it to perform functions such as baselining, anomaly detection, event correlation and predictive recommendations.
Such an example of this could be time-series data which is baselined and used to detect anomalies. This is then combined with event correlation, compounding together to allow the AI to determine the root causes of any wireless, wired and device issues. Uniting these techniques allows network administrators a lower mean-time-to-repair issues, overall saving time and money as well as maximising the end-user satisfaction.
The large variety of operating systems, devices and applications in use can cause difficulties in manual troubleshooting within an organisation. Introducing Mist’s AI onto these networks can help ease the process, allowing businesses to keep up in the ever-evolving world. The AI’s purpose to help increase business efficiency and remove the need for human troubleshooting, all while providing users with a flawless experience, is an exciting possibility for a forward-thinking company.
Mist collects over 150 pre- and post- connection states in near real-time to create a robust data set
Data Science Toolbox
Mist uses various data science techniques to analyse data and provide actionable insight
Domain specific classifiers set, monitor and enforce service levels
Marvis uses natural language to troubleshoot and applies data science and AI to analyses and correlate data
Key Components of Mist’s Marvis, the world’s first Virtual Network Assistant:
- Faster troubleshooting means less downtime
- Proactively fix problems before users know they exist
- Focus IT investments on strategic projects not on troubleshooting
- Prioritise helpdesk tickets based on scope of impact
- Analyse and correlate data to determine the magnitude and scope of problems
How can Mobliciti help?
Mobliciti’s complete managed wireless service can run the infrastructure, design and deploy the solution globally and support this on an on-going basis. Paired with Mist, we can offer a package which provides users with a seamless service, drastically limiting errors and enabling manpower to be concentrated on more important issues. Find out more here.