Why companies need artificial intelligence explainability
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Four reasons stakeholders don’t trust AI systems, and how companies can overcome them.
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Four reasons stakeholders don’t trust AI systems, and how companies can overcome them.
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Toyota’s digital transformation strategy lets executives lead new standalone companies but keep their existing roles. Here’s why it’s been successful.
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Companies that succeed at digital transformation use dashboards to measure what value is created, and how.
Researchers launched an in-house Data Science and Artificial Intelligence (DSAI) challenge to beat MIT’s machine-learning models for predicting clinical trial outcomes. The results are now available.
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Digital transformation is an ongoing process. Here’s how your company can hone its funding, expertise, and technological capabilities.
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Digital transformations aren’t just about technology. Employees need to have the right skills, support, and emotional space to adjust during the transitions.
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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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Sharing data within a company is vital to creating value. Curated content, designated channels, and repeatable controls are the ways to achieve "data sharing 2.0."
The Food Supply Chain Analytics and Sensing (FSAS) Initiative is creating predictive analytical tools and technologies to improve the design and management of safe and reliable food supply chains