CIO Business Intelligence

MAY 7, 2024

Still, CIOs should not be too quick to consign the technologies and techniques touted during the honeymoon period (circa 2005-2015) of the Big Data Era to the dust bin of history. On the flipside, we love exciting executives with hot new technologies. Relevance, after all, is our forte. Gutman, Jordan Goldmeier.

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Big Data Statistics Machine Learning Data Science 125

O'Reilly on Data

MARCH 26, 2024

But perhaps it should infringe something: even when the collection of data is legal (which, statistically, it won’t entirely be for any web-scale corpus), it doesn’t mean it’s legitimate, and it definitely doesn’t mean there was informed consent. To see this, let’s consider another example, that of MegaFace. joined Flickr.

Modeling 271

Modeling Machine Learning Risk Advertising 271

CIO Business Intelligence

JULY 10, 2023

“We’ve solved most of the consolidation challenges,” says Greg Rokita, assistant VP of technology at Edmunds. Rokita has been with Edmunds for more than 18 years, starting as executive director of technology in 2005. Now, how do we stay ahead in this AI landscape? The shift to online started not long after.

Data Warehouse 89

Data Warehouse Cost-Benefit Unstructured Data Machine Learning 89

CIO Business Intelligence

NOVEMBER 3, 2023

The wake of the COVID-19 pandemic, mass tech industry layoffs, and the demand to keep pace with constantly evolving technology are all prominent factors contributing to a state of exhaustion among IT pros, according to industry surveys. Women disproportionately affected by burnout For women, the statistics around burnout are even worse.

IT 128

IT Reporting Uncertainty Cost-Benefit 128

Smart Data Collective

APRIL 13, 2021

Based on figures from Statista , the volume of data breaches increased from 2005 to 2008, then dropped in 2009 and rose again in 2010 until it dropped again in 2011. They can use AI and data-driven cybersecurity technology to address these risks. The instances of data breaches in the United States are rather interesting.

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Testing Behavioral Analytics Data-driven Big Data 122

Domino Data Lab

JULY 1, 2021

statistical model-based techniques – Using Machine Learning we can streamline and simplify the process of building NER models, because this approach does not need a predefined exhaustive set of naming rules. The process of statistical learning can automatically extract said rules from a training dataset. The CRF model.

Modeling 111

Modeling Statistics Testing Metrics 111

The Unofficial Google Data Science Blog

JULY 18, 2023

For example, Google has led breakthroughs in medical imaging technologies , using computer vision and image search to improve the diagnosis of skin and eye diseases. In what follows, assume we have a large number of items and people, so that the measures have little statistical uncertainty. Some of this data is human-labeled.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52