Cisco



From network automation and vulnerability assessments to anomaly detection and video noise reduction




Supprting Cisco AI

Cisco (NASDAQ: CSCO), utilizes AI to power everything from automation, baselining, and vulnerability assessments to anomaly detection and noise reduction. For multiple years, the OptimalAI scientists have supported the continuous development of robust AI defense mechanisms for Cisco's suite of products and services. These solutions include the bolstering of threat detection, malware analysis, vulnerability assessment, user authentication, incident response automation and predictive analytics.


Predictive Networks

Cisco uses AI to analyse network data, from telemetry to traffic patterns. From this they are able to understand anomalies and automate self-driving, self-healing networks that create optimal network configurations. Networks redirect traffic on their own and heal themselves from internal shocks, such as device malfunctions, and external shocks, such as cyberattacks. Machine learning is also used to identify malware inside encrypted traffic without decrypting it.

Cisco utilizes AI-powered predictive networks that can manage and secure massive torrents of data, while lessening the complexity of highly distributed endpoints, clouds, applications, and users. Their Full-stack observability (FSO) enables acute visibility into these disparate environments, while also delivering real-time business insights into users, apps, and infrastructures. Cisco's routed optical networking and Silicon One is increases connecting more people while significantly reducing energy usage.


Collaboration Technology

AI is also used to support Cisco's WebEx video meeting software which includes computer vision recognition for facial recognition and physical gestures, as well as real-time translation as users speak. AI has also been used to remove nearly 100 billion minutes of background noise from WebEx calls and meetings and moving forward, it will power Webex's immersive Hologram experience.

Additionally, the Webex Contact Center uses AI augments call center agents to improve customer experiences. AI-driven chatbots enhanced with Human-in-the-Loop (HITL) learning expands the scope of a chatbot’s intelligence, helping monitor virtual agents’ conversations to evaluate performance and seamlessly take over by a human agent if the conversation becomes too complex.


Explore Customer Impact



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