"AI is an engine, and data is its fuel - but not all fuel is equal. Software built on generic, unstructured, unverified public internet data is essentially feeding AI low-grade kerosene. Software platforms that serve a specific purpose, handle mission-critical workflows, and have amassed trusted, proprietary data over long periods of time are running on the highest-octane fuel available."
"The companies that are winning today didn't start their AI journey with the launch of ChatGPT three-and-a-half years ago. We started a decade ago, laying the foundation for this critical moment with machine learning and predictive analytics."
AI and SaaS are not distinct; they are both forms of software. Companies with strong historical data can leverage AI effectively, creating significant advantages. Data quality is crucial, as AI requires high-quality, proprietary data to function optimally. Companies that have invested in machine learning and predictive analytics over the years are better positioned to utilize AI. This foundational work allows them to integrate AI seamlessly into their existing systems, enhancing their capabilities and providing a competitive edge.
Read at Fortune
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