Javier Antich

Principal Product Management Engineer

CTO Office - Provider Connectivity Group

Javier Antich has been in the Networking Industry for 25 years. He is currently Principal Product Management Engineer at the Provider Connectivity group’s CTO Office at Cisco, where he is connecting the dots between networking, automation, and AI. He has been researching the Art of the possible with LLMs in Networking with the Industry's first autonomous network troubleshooting agent (Anetta.ai). Javier is also an accomplished author of the best-selling book “Machine Learning for Network and Cloud Engineers”. He holds a BS Degree in Telecommunication Engineering from the ETSIT at the Polytechnic University in Valencia, an Executive MBA at the IE Business School, and a Data Science and Deep Learning master’s degree from the Madrid Institute of IoT.

Articles

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Javier Antich

Making Agentic AI Observable: How Deep Network Troubleshooting Builds Trust Through Transparency

6 min read

When 30+ AI agents diagnose your network, can you trust them? Imagine dozens of AI agents working in unison to troubleshoot a single network incident—10, 20, even more than 30. Every decision matters, and you need full visibility into how these agents collaborate. This is the final installment in our three-part series on Deep Network […]

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Javier Antich

Building AI You Can Trust for Network Troubleshooting with Deep Network Solutions

4 min read

AI is transforming network troubleshooting, but trust is critical. In part two of our series, discover how Deep Network Troubleshooting combines verified knowledge, advanced reasoning, and human oversight to deliver automation you can rely on.

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Javier Antich

Revolutionizing Network Troubleshooting with Deep Research AI Agents

5 min read

The first blog in this three-part series explores how deep research can be applied to network operations using a Deep Network Troubleshooting Agentic AI solution. It introduces a multi-agent approach that accelerates root cause analysis, enhances reliability and empowers engineers—especially those in complex, multivendor environments—by automating and augmenting troubleshooting processes while ensuring human oversight.