Modernizing enterprise applications is a monumental undertaking. Doing so in [...]
Healthcare organizations can leverage edge AI solutions to streamline clinical workflows and assist in the protection of sensitive data, empowering clinicians to focus on patient care while striving for improved operational efficiency.
[#item_full_content] Healthcare organizations can leverage edge AI solutions to streamline clinical workflows and assist in the protection of sensitive data, empowering clinicians to focus on patient care while striving for improved operational efficiency. Read More Cisco Blogs
Managing multiple customer environments or internal departments shouldn't mean managing [...]
Learn more about how the Cisco MV44X dual-imager camera can help build a more sustainable, scalable network with simple deployment.
[#item_full_content] Learn more about how the Cisco MV44X dual-imager camera can help build a more sustainable, scalable network with simple deployment. Read More Cisco Blogs
Cisco IT recently evaluated fine-tuning embedding models using NVIDIA Nemotron RAG fine-tuning recipe as part of an effort to improve retrieval accuracy for domain-specific enterprise data. The objective was not to redesign existing retrieval-augmented generation (RAG) systems, but to understand whether targeted embedding fine-tuning could materially improve semantic search quality with reasonable effort and fast turnaround. Through this experiment, Cisco was able to validate firsthand that embedding fine-tuning, combined with synthetic data generation, can deliver measurable accuracy gains within a short time frame. The experiment also demonstrated strong time-to-value, enabling rapid iteration and clear performance signals without long training cycles or extensive manual labeling. The reduced turnaround of only a few days to understand the immediate benefits was a key outcome of this collaboration.
The embedding model training and evaluation workflow was executed on Cisco AI PODs running Cisco UCS 885A infrastructure powered by NVIDIA HGX platform.
[#item_full_content] [[{"value":"Cisco IT recently evaluated fine-tuning embedding models using NVIDIA Nemotron RAG fine-tuning recipe as part of an effort to improve retrieval accuracy for domain-specific enterprise data. The objective was not to redesign existing retrieval-augmented generation (RAG) systems, but to understand whether targeted embedding fine-tuning could materially improve semantic search quality with reasonable effort and fast turnaround. Through this experiment, Cisco was able to validate firsthand that embedding fine-tuning, combined with synthetic data generation, can deliver measurable accuracy gains within a short time frame. The experiment also demonstrated strong time-to-value, enabling rapid iteration and clear performance signals without long training cycles or extensive manual labeling. The reduced turnaround of only a few days to understand the immediate benefits was a key outcome of this collaboration.
The embedding model training and evaluation workflow was executed on Cisco AI PODs running Cisco UCS 885A infrastructure powered by NVIDIA HGX platform."}]] Read More Cisco Blogs
Zscaler ZPA: Securing GPU-Native AI Workloads on CoreWeave with Zero [...]
LangChain makes it easy to move from a working prototype to a useful agent in very little time. That is exactly why it has become such a common starting point for enterprise agent development.
Agents don’t just generate text. They call tools, retrieve data, and take actions. That means an agent can touch sensitive systems and real customer data within a single workflow.
[#item_full_content] [[{"value":"LangChain makes it easy to move from a working prototype to a useful agent in very little time. That is exactly why it has become such a common starting point for enterprise agent development.
Agents don’t just generate text. They call tools, retrieve data, and take actions. That means an agent can touch sensitive systems and real customer data within a single workflow. "}]] Read More Cisco Blogs
With April 1, 2026, approaching, schools and libraries are reminded that the E-Rate funding window will soon close. The E-Rate program, designed to make telecommunications and internet access affordable for educational institutions, has been instrumental in supporting connectivity in today’s digital landscape. What is the E-Rate Program? Since its launch in 1996, E-Rate has provided […]
[#item_full_content] With April 1, 2026, approaching, schools and libraries are reminded that the E-Rate funding window will soon close. The E-Rate program, designed to make telecommunications and internet access affordable for educational institutions, has been instrumental in supporting connectivity in today’s digital landscape. What is the E-Rate Program? Since its launch in 1996, E-Rate has provided Read More Cisco Blogs
Modernization is an essential investment in the long-term health and security of our digital infrastructure. We cannot defend against tomorrow’s sophisticated threats or effectively deploy AI while relying on antiquated IT equipment.
[#item_full_content] Modernization is an essential investment in the long-term health and security of our digital infrastructure. We cannot defend against tomorrow’s sophisticated threats or effectively deploy AI while relying on antiquated IT equipment. Read More Cisco Blogs
Cisco and Quest Alliance are changing India’s vocational schools to ensure every student has a path to the digital economy. See how this partnership is building a future-ready workforce.
[#item_full_content] Cisco and Quest Alliance are changing India’s vocational schools to ensure every student has a path to the digital economy. See how this partnership is building a future-ready workforce. Read More Cisco Blogs
