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Careers in artificial intelligence News
January 15, 2021
Bringing historically underrepresented employees into critical parts of the design process while creating an AI model can reduce or eliminate bias in that model.
December 04, 2020
A prominent AI ethics researcher said she was unfairly fired by Google after sending an email to colleagues critical of the way Google treats women and people of color.
November 25, 2020
At a California university, students in April Morris' class learn how to use RPA and analytics tools. They hope to use the skills to get jobs out of school.
March 31, 2020
Boston-based automated machine learning vendor DataRobot, a major player in the AI industry, has laid off employees amid the coronavirus pandemic after years of fast growth for the company.
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The differences can be subtle, but in general, a data scientist has more responsibilities and a more advanced background than analyst counterparts. Continue Reading
AI encompasses a wide range of disciplines, from advanced math to application development, and building a strong AI team starts with incredibly skilled data scientists. Continue Reading
A data scientist is a professional responsible for collecting, analyzing and interpreting extremely large amounts of data. The data scientist role is an offshoot of several traditional technical roles, including mathematician, scientist, ... Continue Reading
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Data science teams typically include various analytics and data professionals and can be set up in different ways, as explained here along with tips on managing them. Continue Reading
The demand for data scientists continues to grow, but the job requires a combination of technical and soft skills. Here are 14 key skills for effective data scientists. Continue Reading
Humans and machines have different -- and often complementary -- strengths and weaknesses. That's why we're not seeing automation leading to mass job losses, at least for now. Continue Reading
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As the desire for AI and machine learning in-house skills skyrocket, those looking to break into the market have a variety of career path options, including AI architect and BI developer. Continue Reading
Through asking questions and understanding the real-world issues other parts of the company face, data scientists polish their enterprise contribution. Continue Reading
The relationship between data scientists and companies using AI is evolving rapidly, shifting from a focus on trained professionals to experienced employees with automated tools. Continue Reading
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The industrywide data scientist shortage is leading companies like Schneider Electric to look internally for employees with a technical background and invest in training them. Continue Reading
Internal data science training programs have helped vendors when colleges and universities have failed. Training is helping to fix the data scientist shortage. Continue Reading
Enterprises that are poised to implement AI in the workforce don't have to forfeit human jobs to do so. Read a Dun & Bradstreet analyst's take on the intent of enterprise AI. Continue Reading