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Silicon Flash > Blog > Technology > Unlocking the Full Potential of AI: Why Machine Data is Essential for Enterprises
Technology

Unlocking the Full Potential of AI: Why Machine Data is Essential for Enterprises

Published October 17, 2025 By SiliconFlash Staff
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Unlocking the Full Potential of AI: Why Machine Data is Essential for Enterprises
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Cisco leaders argue that the line between product and model companies is blurring, emphasizing the importance of tapping into the 55% of enterprise data growth overlooked by current AI systems to determine success in the future. VentureBeat recently spoke with Jeetu Patel, President and Chief Product Officer at Cisco, and DJ Sampath, Senior Vice President of AI Software and Platform, to delve deeper into their shared belief that every thriving product company must evolve into an AI model company to thrive in the coming years.

Cisco executives are adamant that the distinction between product and model companies is rapidly disappearing, with the ability to leverage the substantial growth in enterprise data being a key factor in separating successful businesses from those that lag behind. In a recent interview with VentureBeat, Jeetu Patel, President and Chief Product Officer at Cisco, and DJ Sampath, Senior Vice President of AI Software and Platform, shed light on their shared perspective that for any product company to thrive in the next decade, the incorporation of AI into their business model is imperative.

As the landscape of product development evolves, the integration of digital twin technology to expedite the launch of next-generation products has become increasingly essential. Patel and Sampath highlight the necessity of transitioning towards becoming AI model companies, emphasizing the critical role that data plays in driving innovation and competitiveness in the market.

The conversation with the Cisco executives underscored the inevitability of this transformation, supported by compelling data points. The team emphasizes that a significant portion of data growth, about 55%, consists of machine-generated data that current AI models do not effectively utilize. Greg Brockman from OpenAI estimates that to provide every individual with the necessary AI agents, 10 billion GPUs would be required, underscoring the vast potential that remains untapped in the realm of AI development. Cisco’s open-source security model, Foundation-Sec-8B, has already garnered significant traction, with over 200,000 downloads on platforms like Hugging Face.

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The evolving landscape of business models is driving the shift towards AI-centric operations, with Patel stressing that the future will see the convergence of product and model companies. The symbiotic relationship between models and products will redefine the way companies approach innovation, emphasizing the need for a seamless integration of AI into product development processes.

Sampath further iterated the importance of this transition, particularly as the industry moves towards agent-driven systems. The efficacy of these AI models in governing agent behavior will be a critical differentiator for companies looking to stay ahead in the market.

The untapped potential of machine data presents a significant opportunity for companies to enhance their AI capabilities and drive innovation. Patel highlights that while current models are proficient in handling publicly available data, the real growth lies in the vast reservoir of machine data stored within enterprise systems. Effectively harnessing this data and integrating it into AI models will be crucial for companies looking to unlock the full potential of AI-driven technologies.

Sampath emphasizes the need for enterprises to capitalize on their proprietary data by leveraging starter models provided by companies like Cisco. By empowering organizations to build custom models tailored to their specific data sets, Cisco aims to democratize AI development and enable companies to harness the full power of machine data in driving innovation.

In a surprising twist, Patel challenges the conventional wisdom that hardware is a liability in the age of software and AI. He argues that companies with expertise in both hardware and software development possess a unique advantage, enabling them to leverage data insights from hardware systems to enhance AI models. By correlating machine data with predictive models, companies can preempt system failures and optimize infrastructure stability, transforming the way industries like manufacturing operate.

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Open-source initiatives are at the forefront of Cisco’s strategy, with Sampath highlighting the importance of democratizing access to AI models for defense purposes. By making security models open-source, Cisco aims to strengthen the overall cybersecurity ecosystem and equip defenders with the tools needed to combat evolving threats effectively.

The interview with Cisco executives concluded with a discussion on the company’s commitment to empowering global partners in leveraging AI as a revenue opportunity. As Cisco gears up for its Partner Summit in San Diego, the focus remains on driving partner activation and fostering collaboration to realize the full potential of AI in the cybersecurity space.

In summary, Cisco’s vision for the future of AI-driven innovation underscores the critical role that data plays in shaping the competitive landscape for businesses. By embracing AI as a core component of their business model, companies can unlock new opportunities for growth and differentiation in an increasingly digital world.

TAGGED: data, enterprises, Essential, Full, machine, potential, Unlocking
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