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Do we really care about (artificial) intelligence?

Norbert Bol

Sorry for not keeping my promise to blog more in 2020 about responsible technology and artificial intelligence as I wrote in Happy New Year: The new roaring ’20 s. Responsible use of the digital enabled technologies that often inhibit artificial intelligence is still a topic of debate. Schneider et al.

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Do we really care about (artificial) intelligence?

Norbert Bol

Sorry for not keeping my promise to blog more in 2020 about responsible technology and artificial intelligence as I wrote in Happy New Year: The new roaring ’20 s. Responsible use of the digital enabled technologies that often inhibit artificial intelligence is still a topic of debate. Schneider et al.

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How To Screen Tech Talent?

The Human Factor

image source Introduction Companies rely heavily on hiring talented tech professionals to gain a competitive edge in today’s rapidly evolving technology-driven world. However, finding and hiring the right tech talent can be daunting. A company’s success often hinges on the quality of its tech talent.

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Responsible Artificial Intelligence

Norbert Bol

Artificial Intelligence (AI) is growing rapidly as it succeeds to improve productivity and customer experience in every domain of our society such as education, industry, agriculture, healthcare, finance, transportation, entertainment, security, energy, communication, etc. Computer Law & Security Review. Norbert Bol.

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Responsible Artificial Intelligence

Norbert Bol

Artificial Intelligence (AI) is growing rapidly as it succeeds to improve productivity and customer experience in every domain of our society such as education, industry, agriculture, healthcare, finance, transportation, entertainment, security, energy, communication, etc. Computer Law & Security Review. Norbert Bol.

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The Top 5 Technology Trends That Will Drive Innovation in 2018

hackerearth

Innovation is never easy, and in today’s world where everything is becoming digital, innovation is technology first and quite complex. Over the years, the linear model of innovation has been tweaked to include these variations—the phase gate model (e.g. photo editing software), and technology push (e.g. Machine Learning.

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There's gold in the data - but have we learned the lessons?

Jeffrey Phillips

These future miners are doing something quite the opposite - working in pristine conditions with the latest technologies, but more importantly working on a resource that is replenishing faster than it can be mined and understood. Since we know that SOPs are often written but rarely reviewed, many processes don't do what we think they do.

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