Cisco executives are making a compelling case that the line between product and model companies is fading away. They argue that tapping into the 55% of enterprise data growth that current AI overlooks will be the key factor that separates successful companies from those that fall behind.
A recent interview by VentureBeat with Jeetu Patel, Cisco’s President and Chief Product Officer, and DJ Sampath, Senior Vice President of AI Software and Platform, shed light on this transformative thesis. They believe that every thriving product company must evolve into an AI model company in order to thrive in the coming years.
The discussion revealed the inevitability of this transformation, supported by strong data points. The team emphasizes that a significant portion of data growth, 55%, consists of machine data that current AI models do not leverage. This untapped resource presents a massive opportunity for companies willing to adapt and innovate.
Embracing the Evolution from Product to Model Companies
VentureBeat: Why do you believe that every product company will eventually become a model company?
Jeetu Patel: In the future, the distinction between model companies and product companies will disappear. Successful product companies will seamlessly integrate models into their core operations. This symbiotic relationship between models and products will drive innovation and differentiation in the market.
DJ Sampath: As we transition to agent-driven systems, the importance of robust models becomes even more pronounced. Companies that can adapt and excel in building and deploying models will have a significant competitive edge.
Unlocking the Potential of Machine Data
VentureBeat: Why is leveraging machine data growth crucial for companies?
Patel: While current AI models excel at processing public data, the real untapped potential lies within the vast amounts of machine data generated by enterprises. Effectively harnessing this data can revolutionize how AI applications are developed and utilized.
Sampath: By focusing on unlocking machine data and providing enterprises with the tools to build and refine their own models, we are paving the way for a new era of AI-driven innovation.
Recognizing the Value of Hardware in the AI Era
VentureBeat: Why do you believe hardware companies have an advantage in the software and AI landscape?
Patel: Hardware remains a critical asset in the AI ecosystem. The integration of hardware, software, and AI models can lead to transformative outcomes, especially in industries like manufacturing where data volume is paramount.
Cisco’s expertise in infrastructure and AI positions us as a leader in enabling stability and innovation in industries that rely on data-intensive operations.
Commitment to Open Source and Collaboration
VentureBeat: What drives Cisco’s decision to embrace open-source security models?
Sampath: By making security models open-source, we empower defenders and foster a collaborative approach to enhancing cybersecurity. Our commitment to open-source initiatives reflects our belief in the power of community-driven innovation.
Patel: Our focus on open-source extends beyond security models to include tools like Splunk for time series data analysis. This collaborative approach not only strengthens cybersecurity but also drives innovation across various domains.
Customer-Centric Innovation and Adaptation
VentureBeat: How is Cisco navigating the shift from hardware-centric to software-centric solutions?
Patel: By prioritizing customer needs and offering a seamless transition path, we ensure that our customers can evolve at their own pace. Our platform approach, encompassing hardware, software, and AI, enables customers to adapt to changing market dynamics without unnecessary disruption.
Empowering Global Partners for AI Success
The interview concluded with a preview of Cisco’s upcoming Partner Summit, where significant partner activation initiatives are expected to be announced. Patel emphasized the importance of a strong partner network in realizing Cisco’s long-term AI vision, highlighting the need for sustained collaboration and innovation.
