The world recently learned that the creation of class leading AI software like DeepSeek does not require billions of dollars. What is did require is first principles thinking, commodity hardware, and open software. DeepSeek AI has been released as open software and costs the consumer a fraction of what its competitors charges. So what is this First Principles thinking you might ask?
First-principles thinking is one of the best ways to reverse-engineer complicated problems and unleash creative possibility. Sometimes called “reasoning from first principles,” the idea is to break down complicated problems into basic elements and then reassemble them from the ground up. It’s one of the best ways to learn to think for yourself, unlock your creative potential, and move from linear to non-linear results.
We believe that this strategy of First Principles thinking along with commodity hardware and open software can be applied to data integration projects to guarantee repeatable success.
Data Integration projects have been attempted for many years and still we get this:
According to Gartner, an overwhelming 85% of data projects fail to deliver the expected business value because of the complexities involved in managing both data project participants and information. Proceeding on a data project without a proven methodology and tooling guarantees failure.
A new strategy for data integration is clearly required and the DeepSeek example shines light on its direction.
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