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IT pros say tech budgets to stay strong, but mainly for big companies

CIO Business Intelligence

Companies that did so in 2001 and 2008 were frequently punished for it by the market. Our research revealed improvements across performance, reliability, security and even reduced overall IT costs among organizations that modernized their infrastructure â??even even if that was initially out of necessity.â??. t spur IT cutbacks.

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Microsoft faces new antitrust complaint over cloud software licensing in Europe

CIO Business Intelligence

In 2004 the company paid a $611 million fine after the Commission found it guilty of illegally bundling media player software with Windows XP (launched in 2001), and then $357 million in 2006 and another $1.3 billion in 2008 for failing to comply with the 2004 ruling.

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How to Use Apache Iceberg in CDP’s Open Lakehouse

Cloudera

1 2008 7009728. 8 2001 5967780. Our imported flights table now contains the same data as the existing external hive table and we can quickly check the row counts by year to confirm: year _c1. 2 2007 7453215. 3 2006 7141922. 4 2005 7140596. 5 2004 7129270. 6 2003 6488540. 7 2002 5271359. 9 2000 5683047. …. group by year.

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Marketing as a strategic business partner: mixing theory, research and #data

Jen Stirrup

So, organizations need a cohesive strategy which aligns all methods of communication to ensure consistency (Porter, 2001). 2001, Strategy and the Internet. Harvard business Review , (2001): 63-78. After all, the Internet can break a business very quickly! Journal of Marketing Management, vol. Levitt, T. & & Levitt, I.M.

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Reclaiming the stories that algorithms tell

O'Reilly on Data

In 2001, just as the Lexile system was rolling out state-wide, a professor of education named Stephen Krashen took to the pages of the California School Library Journal to raise an alarm. This whole scoring system also changes the story about who librarians and teachers are.

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Data Science, Past & Future

Domino Data Lab

I can point to the year 2001. It was also the year, 2001, when “ Agile Manifesto ” was published. In 2008, there was a JIRA ticket, and as an engineering manager, I wrote a $3,000 check to a young engineer in London named Tom White who pushed a fix. All righty. Where did this happen? It was very interesting.

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ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

The problem with this approach is that in highly imbalanced sets it can easily lead to a situation where most of the data has to be discarded, and it has been firmly established that when it comes to machine learning data should not be easily thrown out (Banko and Brill, 2001; Halevy et al., References. Banko, M., & Brill, E.