7 lessons for successful machine learning projects
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Machine learning success starts with a strong data strategy, the right business use cases, and patience.
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Machine learning success starts with a strong data strategy, the right business use cases, and patience.
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The post-pandemic world will reward leaders who navigate a new landscape of digital services to make decisions and encourage innovation.
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Counterterrorism expert Humera Khan harnesses diverse perspectives to anticipate and prevent violent extremism via her think tank, Muflehun.
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Unstructured data, artificial intelligence, and machine learning are fast becoming business requirements. Here is insight from data scientists and practitioners.
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Researchers explore working with intelligent machines and what happens when culture meets globalization.
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A new MIT Sloan Experts Series talk explains how algorithms and humans can work together to compensate for blind spots and create clearer outcomes.
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There’s competitive advantage buried in text, images, audio, social media, and more — as industries like shipping, retail, legal, and finance are finding.
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Ideas for transforming digital capabilities and spearheading innovation initiatives while preserving corporate culture amid COVID-19.
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Many AI programs do not generate business gains. New research finds the key to success is scientific, application, and stakeholder consistency.
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COVID-19 is upending data analytics practices, sidelining predictive analytics, and driving firms to external data and other economic indicators.