Complex Data Analysis
summary
Ayasdi positions topological data analysis as a practical method to extract the shape of data from high‑dimensional, nonlinear datasets (think a million columns or 3 billion features from a genome), feeding clustering and other machine‑learning outputs into topology. The company claims tools that turn that pipeline into applications that augment analysts and accelerate workflows by four orders of magnitude, aiming to reduce feature engineering and data‑janitorial bottlenecks.
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chapters (4)
- 0:00Start
- 0:13Problem with Big Data
- 3:38How Does the Industry Balance the Growth of Data
- 4:39How Will Will Analytics Be the Primary Competitive Differentiator Going Forward
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