How to craft effective data science job descriptions

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IDG AI/Machine Learning Report Our top picks from IDG's editors Nov 01, 2018 How to craft effective data science job descriptions Finding good data science talent starts with a killer job description. Here's how to get it right. Read More ▶ Your Must-Read Stories • How to use Knime for data science • Synchrony banks on AI in digital transformation • Health care CIOs should focus on data quality to maximize the value of artificial intelligence • IBM to move Watson Health to a hybrid cloud • AI-driven content moderation can never be perfect How to use Knime for data science Free, open-source Knime allows you to visually assemble data processing "nodes" into machine learning, deep learning, and other analytics workflows Read More ▶ Synchrony banks on AI in digital transformation Synchrony has pushed all in on artificial intelligence, machine learning, and robotic process automation to improve customer service, fight fraud and automate repetitive tasks. Read More ▶ Health care CIOs should focus on data quality to maximize the value of artificial intelligence The intersection of healthcare and AI has tremendous potential, but the lack of data standardization and centralization is holding it back. Read More ▶ IBM to move Watson Health to a hybrid cloud IBM is moving its Watson Cognitive Health services to a hybrid cloud model that it said will give customers greater access to a larger pool of payer and health record information for data analytics. Read More ▶ AI-driven content moderation can never be perfect Regulatory pressure to rely more on automated takedowns threatens to undermine the legitimacy of online spaces. Read More ▶

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