The availability of low-cost business analytics tools has motivated many organizations to roll out customer profiling and predictive analytics applications in the hopes of revitalizing their marketing ...

Organizations often realize too late that a critical project needs skills their team does not currently have. Skills may be short in the labour force, external recruitment is time-consuming, and ...

Biohub, the U.S. Department of Energy, the National Institutes of Health, and new funding partners today announced a major expansion of an international effort to generate and make accessible the data ...

NEW YORK & TEL AVIV, Israel--(BUSINESS WIRE)--Pecan AI, the leader in AI-based predictive analytics for BI analysts and business teams, today announced that it has opened its predictive analytics ...

LONDON--(BUSINESS WIRE)--Atto, a leading provider of credit risk solutions using transactional data, is thrilled to announce a strategic partnership with FICO, a global analytics software leader, for ...

Predictive analytics allows data professionals to identify trends, forecast outcomes and test assumptions using data. When these capabilities are applied to simulation modeling, they make models more ...

Everyone wants predictive algorithms to be accurate, but there are different ways to define accuracy. Is it better to have an algorithm that's rarely perfect, but also rarely off by a mile? Or to have ...

While interest in using more-rigorous, data-based analytic approaches to HR decision-making is growing, real progress has been limited, in part because of organizations’ misguided assumptions.

A neural network predictive control framework that jointly optimizes thermal comfort, daylighting, energy use, and life-cycle ...