The semiconductor industry, as always, is at the forefront of transformational technological innovation, driving escalating complexity of manufacturing processes that extend time-to-market delivery, ...

Overview: AI-powered marketing analytics tools enable brands to move beyond basic reporting and leverage predictive insights, ...

Zubel: In terms of analytics and AI, faster clinical data monitoring is already achievable. Predictive modeling is improving, but accuracy remains a challenge, particularly in oncology.

Many U.S. hospitals using predictive models are not evaluating their tools internally for accuracy, and fewer still are evaluating them for potential biases, according to a study published in the most ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

Auto dealers today are under constant pressure to operate more efficiently, forecast more accurately, and make faster, data-driven decisions. From inventory management to customer engagement, ...

Chad Beam provides the ins and outs of the implementation of GIS, advanced communication systems and predictive modeling to ensure that staffing, to whatever extent, is utilized most effectively. A ...

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Researchers at Lawrence Livermore National Laboratory (LLNL) are addressing corrosion by developing predictive models to forecast failures and guide the design of more durable materials from the start ...