Remove 2008 Remove Big Data Remove Data Analysis
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How to avoid the 7 most common mistakes of Big Data analysis

Dataconomy

You could dive into gigabytes or even petabytes of data from any industry and derive meaningful interpretations that may catch even the industry insiders by surprise. When the global financial crisis hit the American market in 2008, few.

Big Data 195
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AI Data, Traditional Trading, and Modern Investments

Smart Data Collective

Fortunately, the first robo-advisors were created in 2008. The robo-advisor handled the actual investment process, using AI data analysis and automation to complete trades and react to market changes. Robo-advisors were a unique service that simplified investing for the masses.

AI 142
professionals

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Structural Evolutions in Data

O'Reilly Media

Each time, the underlying implementation changed a bit while still staying true to the larger phenomenon of “Analyzing Data for Fun and Profit.” ” They weren’t quite sure what this “data” substance was, but they’d convinced themselves that they had tons of it that they could monetize.

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These Are Data’s Dark Ages, and That Needs to Change

Alation

For those of us who champion the power of data, the past five years have been an incredible ride thanks to the rise of big data. And here’s the catch: in spite of our recent data-driven achievements, the evidence suggests that humans may well be in the dark ages of data.