What Is Cisco’s Deep Network Model, and What Does It Mean for Business Workflows?
As artificial intelligence becomes embedded in enterprise operations, 97% of IT leaders agree that modernized network architecture is essential to support these intelligent technologies. To prepare, 91% plan to boost network investments.
But investment alone isn’t enough. Enterprises need networks that can scale seamlessly, minimize downtime and quickly pinpoint root causes.
To help companies make the most of AI, Cisco has created the Deep Network model, purpose-built for data-heavy workloads and infused with AgenticOps so organizations can optimize performance and work twice as fast.
EXPLORE: A few solutions from CDW and Cisco that can bolster your networking strategy.
How Cisco’s Deep Network Model Works
The Deep Network model is trained on 40 million tokens and more than 3,000 reasoning traces from Cisco experts. It can quickly identify and resolve network issues and is 20% more accurate with troubleshooting and configuration than a general-purpose large language model.
“Teams can use natural language queries, which removes the need to manually sift through logs,” says Dennis Mannon, solutions architect for Cisco SASE at CDW. “Instead, teams can ask things like ‘What’s causing high latency?’ and receive curated answers.”
With live telemetry, the model can also evaluate the networking environment in real time and respond. This allows IT leaders to gain rich insights at a reasonable speed, says Mannon, rather than having to interpret enormous amounts of data...
