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Why Efficient Algorithms Are Essential for a Data-Driven Future

Our breakthrough O(1) algorithms are essential for any organization with large-scale data challenges or that want to get ready for AI by deploying fast and efficient knowledge graphs

By Craxel Founder and CEO David Enga

November 8, 2024

I'm not sure we could have made the case for Craxel as well as Blackstone does here: https://www.blackstone.com/insights/article/the-convergence-of-data-centers-and-power-a-generational-investment-opportunity-the-connection/.

Data is exploding. Supply side for power and data center capacity is constrained. Inefficiency of AI is compounding issues. What's the most valuable thing in this sort of environment? Faster and more efficient software algorithms that improve the demand side of the equation. Organizations that do not have fast and efficient software for data, analytics, and AI will be at the mercy of these supply constraints, which could lead to significant cost issues.

Our breakthrough O(1) algorithms are essential for any organization with large-scale data challenges or that want to get ready for AI by deploying fast and efficient knowledge graphs. Relying on legacy O(N) data technologies with the coming supply constraints is bad business.

Please contact me if you want to learn more.