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Infinidat
MARCH 10, 2021
Re-Thinking the Storage Infrastructure for Business Intelligence. Guest Blogger: Eric Burgener, Research Vice President, Infrastructure Systems, Platforms and Technologies, IDC. Eric Burgener is Research Vice President within IDC's Enterprise Infrastructure Practice. Adriana Andronescu. Wed, 03/10/2021 - 12:42.
Apiumhub
APRIL 6, 2021
There are a lot of excellent blogs on data science, and it can be a little overwhelming to know where to start. This article will list some of the most useful blogs for everyone – from data science experts to complete newbies. Top Data Science Blogs to follow.
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N2Growth Blog
APRIL 29, 2012
” If you read this article it would lead you to believe blogging is in decline and on it’s way out as a marketing tool. 500 companies) indicated the use of blogging was down 13% from the prior year. Research has it’s place, but only as it applies to credible research. The Truth About Blogging.
CIO
SEPTEMBER 8, 2022
This creates a flywheel we call The Data Network Effect, where you acquire more data, which helps create better algorithms, which drives better engagement, ultimately leading to happier customers, which then generates more data, and so on, and so on. Do not boil the ocean … we tried that … it did not work.
Apiumhub
APRIL 8, 2021
The people listed promote learning and the sharing of knowledge by sharing their insights through LinkedIn, Twitter, blog posts, podcasts, books, workshops, etc. He also serves as Gartner’s lead analyst for Microsoft, coordinating Gartner’s research activities. Top Data Science experts you should know about. Bernard Marr.
Hacker Earth Developers Blog
APRIL 5, 2020
I took those learnings to the telecommunication vertical with TextNow building out the Business Intelligence and growth teams building products on user segmentation and insights, attribution, lifetime value prediction, experimentation, user engagement. . Arbaz: That’s great to know. It has taught me the value of honesty and hard work.
Hacker Earth Developers Blog
JUNE 26, 2019
Neural Networks . Business /Domain Knowledge. The candidate should have a basic understanding of business or the industry in which he is applying as a data scientist. Provide business intelligence : Business Intelligence is all about data management — arranging data and producing information from data via dashboards.
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