In today’s fast-paced business environment, making well-informed decisions quickly is a crucial skill for leaders. Understanding different models of decision-making can provide you with the tools to ...

Decision intelligence (DI) is how people make business decisions, regardless of their role or industry. It bridges the gap between analytics-focused data and AI platforms. The key factor in decision ...

We live in a data-centric world, with artificial intelligence (AI) as the engine that increasingly drives decision-making. Companies and government agencies all seek to make smarter decisions, often ...

As predictive models proliferate, providers and decision makers require accessible information to guide their use. Preventing and combating bias must also be priorities in model development and in ...

Handler, Abram; Larsen, Kai R.; Hackathorn, Richard. Large language models present new questions for decision support. International Journal of Information Management ...

Transformer architectures have facilitated the development of large-scale and general-purpose sequence models for prediction tasks in natural language processing and computer vision, e.g., GPT-3 and ...

By modeling the single-trial electroencephalogram of participants performing perceptual decisions, and building on predictions from two century-old psychological laws, we estimate the times of ...

Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in finance. Ideal for portfolio management.

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 ...