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Aliko Dangote Succeeding Where Others Fear to Tread

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Dangote was the first of Africa’s business giants to set foot outside the continent, in 1974, when he established a factory in Nigeria. The first foreign-owned business to do so, it took a decade to build up the necessary capital, and in 1984 the group produced 15,000 tons of cement annually. Today Dangote is the largest cement manufacturer in Africa, employing more than 170,000 people in Nigeria, with a capacity to

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Discovery Limited Leading Wellness Adoption

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Jonah Creighton A

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Governance Failure at Satyam

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Satyam Computers Systems Ltd is a company that came into being in India in the year 1994. The company started off with the aim of providing computer hardware and software to the IT sector. The company then expanded its services to the domains like software, IT infrastructure, consulting, and digital transformation services. Satyam Computers is one of the oldest IT companies in India with an estimated 48,000 employees worldwide. Satyam was ranked as India’s fifth-largest IT services provider in 2016

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Satyam Computers, a leading Indian Computer hardware manufacturer, is one of the top-selling companies in the world. This company had acquired numerous foreign companies to diversify into the global market. Satyam was a pioneer in India in setting up and maintaining a global presence in technology with a focus on R&D, design, and sales. Satyam had invested heavily in the research and development of information technology, making it India’s largest computer company. In 2009, the US company IBM acquired the company. However,

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Raksul

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Audioteka Go Global or Not

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IBM Newco A HighStakes Spinoff

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Veeva Systems Transformation to PBC

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SG Cowen New Recruits

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Machine Learning Bias Algorithms in the Courtroom

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Machine learning bias algorithms in the courtroom There are plenty of examples of unintended consequences that come from machine learning algorithms, and one of those unintended consequences is its impact on human law enforcement. One example of machine learning bias is in facial recognition software. In 2016, a video uploaded to YouTube showed a person using facial recognition software to identify two innocent bystanders. The software found 98.9 percent of the faces in the video belonged to people who were not the two men in the video. This is a

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