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By Yotam Kramer
The buzz around generative AI shows no signs of slowing down. But there’s a new whisper circulating in the tech world: “The data is running out.” Or, more accurately, the good data is running out.
The internet, once a goldmine of human-generated content, is starting to show signs of exhaustion. Generative AI models are consuming massive amounts of information at an unprecedented rate, and as they begin training on their own outputs, we’re entering a feedback loop of increasingly generic content. In short, the open web is becoming less valuable for training AI models.
But this isn’t a crisis—it’s an opportunity. Because while the internet might be tapped out, your organization is sitting on a vast, underutilized treasure trove of proprietary data. Welcome to the era of the data moat: where your internal data isn’t just an asset—it’s your competitive edge.
The explosion of AI systems has led to an insatiable hunger for high-quality data. But here’s the problem:
This means building a competitive AI model on public data alone is becoming increasingly difficult. So, where does that leave businesses looking to get ahead in the AI era? The answer lies within their own walls.
Your company is generating unique, proprietary data every day. Think customer interactions, supply chain workflows, internal operations, and more. This data isn’t just numbers in a spreadsheet—it’s a detailed map of how your business works. And because it’s exclusive to your organization, it’s the perfect foundation for AI models that deliver real, business-specific insights.
This proprietary data forms what’s being called a data moat:
But there’s a catch: leveraging your data moat isn’t as simple as flipping a switch. Most proprietary data isn’t neatly packaged or easy to access—it’s deeply embedded in complex workflows, scattered across siloed systems, and locked behind organizational processes.
This is where the concept of process data comes into play. While traditional data analytics focuses on static snapshots of information, process data captures the dynamic flow of your business operations. It tells the story of how your organization runs, step by step, and reveals inefficiencies, bottlenecks, and opportunities hidden in plain sight.
Here’s the key difference:
Process data is a game-changer because it allows businesses to:
This is why process mining and execution management tools are rapidly gaining traction. These technologies enable businesses to extract, visualize, and analyze process data, paving the way for AI-driven optimization.
Building and leveraging a data moat isn’t without its hurdles. Companies face several challenges when working with process data:
Proprietary data is often messy, unstructured, and distributed across multiple systems. Managing and organizing this data at scale requires robust infrastructure.
Solution: Implement modern data architectures like data mesh, which decentralizes data ownership and allows teams to manage data as products.
Moving from AI research to production is difficult when working with dynamic process data. Engineering workflows for model training, evaluation, and deployment need to account for the complexity of business processes.
Solution: Adopt tools that streamline in-database model training and experimentation, reducing the time-to-insight.
How do you test AI models in a real-world, ever-changing business environment? Experimentation in such settings is far more challenging than in traditional data environments.
Solution: Leverage platforms that provide GPU-accelerated analytics to handle large-scale experiments quickly and efficiently.
Your proprietary data is your competitive advantage, but it’s also your most vulnerable asset. Handing it off to third-party vendors without proper controls could undermine your efforts.
To safeguard your data moat:
At SQream, we understand the challenges of unlocking value from process data. That’s why we’ve developed a high-performance SQL analytics engine that empowers organizations to:
Whether you’re optimizing workflows, building AI-driven solutions, or driving innovation, SQream ensures that your data moat remains secure, scalable, and a source of measurable business impact.
The public data gold rush may be over, but the real opportunity lies ahead. By leveraging your proprietary data and investing in tools that extract insights from your business processes, you can build an unshakable data moat that delivers a lasting competitive edge.
The future of AI isn’t just about bigger models or faster computation—it’s about how effectively you can harness the unique data within your organization. Ready to unlock the power of your data moat? Let’s make it happen.