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Editorial illustration for Cisco Reveals AI Blind Spot: 55% of Enterprise Data Left Untapped

Cisco Exposes AI Data Gap: 55% of Enterprise Insights Unused

Cisco warns AI plans miss 55% of enterprise data, blurring product vs model

Updated: 3 min read

Stop planning to train your AI on quarterly reports and customer emails. If that's the plan, you're ignoring more than half of what your business actually produces. A new piece of research from Cisco delivers a stark number: 55%. That's the staggering share of all enterprise data growth coming from machines, and current AI models aren't built to touch it.

Cisco executives make the case that the distinction between product and model companies is disappearing, and that accessing the 55% of enterprise data growth that current AI ignores will separate winners from losers. VentureBeat recently caught up with Jeetu Patel, Cisco's President and Chief Product Officer and DJ Sampath, Senior Vice President of AI Software and Platform, to gain new insights into a compelling thesis both leaders share. They and their teams contend that every successful product company must become an AI model company to survive the next decade.

When one considers how compressed product lifecycles are becoming, combined with the many advantages of digital twin technology to accelerate time-to-market of next-gen products, the thesis makes sense. The conversation revealed why this transformation is inevitable, backed by solid data points. The team contends that 55% of all data growth is machine data that current AI models don't touch.

OpenAI's Greg Brockman estimates we need 10 billion GPUs to give every human the AI agents they'll need, and Cisco's open source security model, Foundation-Sec-8B, has already seen 200,000 downloads on Hugging Face. Why the model is becoming the product VentureBeat: You've stated that in the future, every product company will become a model company.

This is an infrastructure land grab. Victory won't go to the company with just the smartest model. It will go to whoever owns the pipes for that ignored 55% of data.

Consider Cisco's open-source security model, Foundation-Sec-8B, hitting 200,000 downloads on Hugging Face. That's not charity; it's a calculated bid to set the security standard for the entire data flow. And when OpenAI's Greg Brockman frames the future as needing 10 billion GPUs for universal AI agents, he's sketching a world where the model *is* the product—a product fed by a firehose of machine data most still treat as exhaust.

The transition is already happening. The real question is how brutal it will be for teams who still believe their most valuable data is what gets typed into a spreadsheet.

Common Questions Answered

How much enterprise data is currently being overlooked by AI approaches according to Cisco's research?

Cisco's research reveals that 55% of enterprise data remains untapped by current artificial intelligence strategies. This significant data gap represents a potential missed opportunity for organizations seeking to leverage AI for competitive advantage.

What do Cisco executives Jeetu Patel and DJ Sampath suggest about the future of AI and enterprise data?

Patel and Sampath argue that the traditional lines between product and model companies are rapidly blurring. They contend that accessing the 55% of currently ignored enterprise data will be a key differentiator in determining which companies succeed in the AI era.

Why is the 55% of untapped enterprise data considered a critical blind spot for AI strategies?

The untapped data represents a massive potential source of insights and competitive intelligence that most organizations are currently missing. By not addressing this data gap, companies risk falling behind in their AI integration and technological innovation efforts.

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