Artificial Intelligence and Machine Learning

Transform IT with AI-driven operations and support

Artificial intelligence technologies are adopted in multiple business areas and network operations is no exception. The need to resolve complex network issues, prevent threats and grow business all lend themselves to AI. At Juniper, our solutions, driven by Mist AI, are proven to simplify network complexity and empower your network to more autonomously support your business over the next decade.

The Conversational AI engine: Marvis leverages a rich data science toolbox to implement algorithms such as mutual information, decision trees, reinforcement learning, and natural language processing. It understands user intent and proactively resolves network and client problems so IT teams spend less time looking for root cause. Juniper employs Marvis to tackle our customers’ trouble tickets in our own AI-driven support model. Each support ticket that comes is processed with Marvis, allowing our data science and support teams to work together to improve and retrain Marvis. This model improves the efficacy of Marvis creating a feedback loop between our customers, support, and data science teams. Due to this support model customers using Marvis frequently see a drop of 40% to 90% in user generated trouble tickets.

Assurance for Wired, Wireless and WAN: An essential part of our cloud services portfolio that leverages multiple Machine Learning algorithms to optimize network performance, simplify operations, streamline troubleshooting and provide visibility into user experience.

HealthBot: A highly automated network analytics solution that collects, aggregates, and analyzes large volumes of real-time telemetry data to provide a multidimensional view of device, network and service health. It offers various machine learning algorithms, which provide anomaly and outlier detection, as well as predictive behavior analysis for future device or network-level behavior.

Juniper Advanced Threat Prevention (ATP): Finds and blocks both known and unknown cyber threats by leveraging static and dynamic malware analysis coupled with machine learning algorithms. The ATP Cloud malware detection pipeline takes advantage of machine learning to correlate malware with the results of antivirus scans, static analyses, and dynamic analyses.

Location Services: Juniper’s AI-Driven Location-Based Service integrates enterprise-grade virtual Bluetooth LE (vBLE) and IoT with Wi-Fi to deliver the industry’s most accurate and scalable services, including User Engagement, Asset Visibility, and Contact Tracing. It leverages the Mist AI and cloud-based machine learning to bring new values to wireless networks through personalized location services while providing unparalleled user experiences.