CIO Business Intelligence

JUNE 27, 2022

Sentry was started as an open source project by David Cramer in 2008 to provide monitoring services for application developers. A lot of the current approaches feel very experimental and are tough to see as maintainable, so there’s certainly still room for growth here. million developers today.

Software 94

Software Experimentation Testing Marketing 94

Ontotext

DECEMBER 30, 2022

9 years of research, prototyping and experimentation went into developing enterprise ready Semantic Technology products. In 2008, we received a small round of funding and focused on bringing this technology to the market. Global Sales planning. direct sales operation. His secondary objective was to ensure the U.S.

Enterprise 52

Enterprise Sales Cost-Benefit Marketing 52

Ontotext

DECEMBER 30, 2022

9 years of research, prototyping and experimentation went into developing enterprise ready Semantic Technology products. In 2008, we received a small round of funding and focused on bringing this technology to the market. Global Sales planning. direct sales operation. His secondary objective was to ensure the U.S.

Enterprise 52

Enterprise Sales Cost-Benefit Marketing 52

Occam's Razor

JANUARY 28, 2013

"Let's just get people on the phone and our sales reps will convert!" " I realize that ADT has always done phone sales and is comfortable with that. If all of the above did not already make the sale, there is additional information. The data is for 2008, but works like a charm in driving conversions.

Marketing 164

Marketing Insurance Visualization IT 164

Occam's Razor

MAY 18, 2010

So it was with absolute delight that I wrote a detailed post about the release of Advanced Segmentation feature in Google Analytics in Oct 2008: Google Analytics Releases Advanced Segmentation: Now Be A Ninja! It is only after experimentation (a lot) that I end up with something sweet. Of course Yahoo! Segment Category #3: Outcomes.

Analytics 123

Analytics Key Performance Indicator Metrics Measurement 123

Domino Data Lab

AUGUST 22, 2019

We waved our finger in the air to select 64, so some experimentation and optimization are warranted at your end if you feel like it. time series, stock prices), sales figures, temperatures, and disease rates (epidemiology). Note: van der Maaten, L., & Hinton, G. Visualizing data using t-SNE. Example 11.9

Deep Learning 111

Deep Learning Modeling Metrics Testing 111