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, ...

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.

Identifying Barriers and Facilitators to Scalp Cooling Therapy Through a National Survey of the Awareness, Practice Patterns, and Attitudes of Oncologists Emergency department visits and ...

DataZapp brings AI and machine learning to deliver affordable, predictive demand generation and marketing data for home ...

This article is the sixth and last in an editorial series that reviews how predictive analytics helps your organization predict with confidence what will happen next so that you can make smarter ...

Artificial intelligence (AI) tools are revolutionizing the way entire industries operate. The potential scope of AI is firmly in our public consciousness, whether through scare stories about the ...

Making eligibility decisions based on trends seen in past cases, rather than explicit criteria, is a feasible approach to clinical trial recruitment that is both compatible with data structures found ...

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, ...

Utilities have increasingly adopted both predictive modeling and real-time detection to strengthen wildfire mitigation programs, and this partnership is designed to make that combined workflow simpler ...

The way machines behave depends on working sites, shifts, climates and duty cycles. Predictive maintenance is precision medicine for machines. It continuously monitors "vital signs," detects ...