Remove 2013 Remove Data Collection Remove Metrics Remove Testing
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The AIgent: Using Google’s BERT Language Model to Connect Writers & Representation

Insight

In 2013, Robert Galbraith?—?an In this article, I will discuss the construction of the AIgent, from data collection to model assembly. Data Collection The AIgent leverages book synopses and book metadata. The latter is any type of external data that has been attached to a book? an aspiring author?—?finished

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It's Not The Ink, It's The Think: 6 Effective Data Visualization Strategies

Occam's Razor

Ten years, and the 944,357 words, are proof that I love purposeful data, collecting it, pouring smart strategies into analyzing it, and using the insights identified to transform organizations. There is only one simple message above, and just two metrics that matter. It can be any of the numerous brand metrics avilable to us.

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Using DataOps to Drive Agility and Business Value

DataKitchen

Chapin shared that even though GE had embraced agile practices since 2013, the company still struggled with massive amounts of legacy systems. GE formed its Digital League to create a data culture. Chapin also mentioned that measuring cycle time and benchmarking metrics upfront was absolutely critical. “It

ROI 211
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Eight Silly Data Things Marketing People Believe That Get Them Fired.

Occam's Razor

[A benchmark for you: In 2013 if 30% of your time, Ms./Mr. Marketer, is not spent with data you''ll fail to achieve professional success.]. Many used some data, but they unfortunately used silly data strategies/metrics. Eight data things that marketing people believe that get them fired… 1.

Marketing 166
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What Is Embedded Analytics?

Jet Global

In the past, data visualizations were a powerful way to differentiate a software application. Companies like Tableau (which raised over $250 million when it had its IPO in 2013) demonstrated an unmet need in the market. As a result, end users can better view shared metrics (backed by accurate data), which ultimately drives performance.