bridgei2i

AUGUST 4, 2020

You know, we’re getting a lot of calls from our research clients going back through and saying, you know, what are the lessons we’ve learned from the past that we can be applying today? And it was funny cause I was going through a book that my business partner Barry Trailer and I wrote back in 2002. Aruna: Got it.

Sales 93

Sales Enterprise B2B Digital Transformation 93

bridgei2i

AUGUST 4, 2020

You know, we’re getting a lot of calls from our research clients going back through and saying, you know, what are the lessons we’ve learned from the past that we can be applying today? And it was funny cause I was going through a book that my business partner Barry Trailer and I wrote back in 2002. Aruna: Got it.

Sales 52

Sales Enterprise B2B Digital Transformation 52

BizAcuity

MAY 10, 2022

Cloud technology and innovation drives data-driven decision making culture in any organization. Cloud washing is storing data on the cloud for use over the internet. Storing data is extremely expensive even with VMs during this time. 2002: Microsoft launches the.NET initiative. 1998: Google comes into existence.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Domino Data Lab

MAY 20, 2021

Machine Learning algorithms often need to handle highly-imbalanced datasets. Further, imbalanced data exacerbates problems arising from the curse of dimensionality often found in such biological data. In their 2002 paper Chawla et al. Merging the two results in a completely balanced dataset (50:50). Chawla et al.,

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

CIO Business Intelligence

APRIL 15, 2022

In 2017, The Economist declared that data, rather than oil, had become the world’s most valuable resource. Organizations across every industry have been and continue to invest heavily in data and analytics. But like oil, data and analytics have their dark side. The refrain has been repeated ever since.

Analytics 145

Analytics Machine Learning Insurance Testing 145

Domino Data Lab

JUNE 2, 2019

Co-chair Paco Nathan provides highlights of Rev 2 , a data science leaders summit. We held Rev 2 May 23-24 in NYC, as the place where “data science leaders and their teams come to learn from each other.” Nick Elprin, CEO and co-founder of Domino Data Lab. Introduction. Image Provided Courtesy of A.Spencer of Domino.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110