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Muk haircare uses data analytics to go deep into the detail


Muk is an Australian haircare brand, established in 2006. Its products are designed for hairdressers and include everything from the technical 100 plus range of hair colours to hairdryers and speciality shampoos and conditioners. The company has limited supply issues as a result of the pandemic because factories and warehouses are operating.

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Best Dressed for Armageddon


In 2006, the world learned an inconvenient truth. The planet we call “home” was getting hotter and we were to blame. Naturally, being intelligent and rational beings, we took the action necessary to prevent the oncoming catastrophe.


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Thermo Fisher transforms its customer experience

CIO Business Intelligence

Formed from the merger of Thermo Electron and Fisher Scientific in 2006, Thermo Fisher Scientific is one of the world’s largest suppliers of scientific instruments, reagents, and services, with more than 130,000 employees worldwide. Since 2006, it has grown with additional mergers and acquisitions, including Life Technologies Corp.

Data Lake 105
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How to Use Apache Iceberg in CDP’s Open Lakehouse


3 2006 7141922. Now we have data as of the year 2006 also in the table. 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. 1 2008 7009728. 2 2007 7453215. 4 2005 7140596. 5 2004 7129270. 6 2003 6488540. 7 2002 5271359.

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Schrodinger’s Automation in AI and the Automation Bias

Jen Stirrup

In the UK, the Companies Act 2006 brought in changes to Governance and Stewardship in the corporate setting, partly due to preventable tragedies such as the Hatfield rail crash. How can Automation, Accountability, and Responsibility be handled in terms of the law?

Testing 62
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Why Operationalization is Hard (But It Doesn’t Have to Be)


In 2006, after $150 million invested in R&D, design, and product development, over 1,000 employees involved - and not the least important of them - day and night, the prototype of the iPhone was finally ready for mass production.

IT 65
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Can Using Deep Learning to Write Code Help Software Developers Stand Out?

Smart Data Collective

Deep Learning is a concept that first arose in 2006, with Geoffrey Hinton’s DNNs (Deep Neural Networks) training concept. The world of technology is changing at an alarming rate, and AI is something that those in the tech world must embrace and move with in order to stay in the game. What is Deep Learning?