Predictive analytics involves using data, statistical algorithms and artificial intelligence to anticipate future outcomes, trends, behaviors and events based on historical customer data. This ...

The concept of predictive analytics is not new. Predictive analytics has been around for well over a decade. Despite its age, it has mainly been the purview of large organizations for most of its ...

Overview: AI in marketing analytics is experiencing rapid adoption as businesses increasingly rely on intelligent data ...

Inaccurate or overlooked alerts on manufacturing data can be reduced with proper data handling when developing and deploying predictive models. Data analytics, and specifically predictive analytics, ...

Predictive analytics enables you to develop mathematical models to help you better understand the variables driving success. Predictive analytics relies on formulas that compare past successes and ...

The works of Richa Awasthi, a recognised leader in credit risk and digital financial innovation, demonstrates how predictive ...

His work focuses on building architectures that combine robotic process automation (RPA), artificial intelligence (AI), and ...

Combining big data with detailed process knowledge, EFT and Big River Steel are solving one of the steel industry’s biggest pain points. WICHITA, Kan.--(BUSINESS WIRE)--EFT Analytics (EFT), a leading ...

The global market for healthcare predictive analytics is expected to grow from $16.7 billion in 2025 and is projected to reach $50.4 billion by the end of 2030, at a compound annu ...

Lumacyte CEO on how real-time insight is driving down manufacturing failures and opening doors for more patients.