The Institute for Global Sustainability at Boston University will bridge the gap between complex data and actionable insights to support equitable clean energy transitions across Massachusetts.

high costs and questionable quality of data-driven decision support being developed on their behalf. Taking matters into their own hands, leaders are embracing a more distributed model ...

Discover Analytical Intelligence—its role in data-driven decisions, key components, applications, and future trends shaping ...

In today’s fast-paced business landscape, data-driven decision-making is essential for gaining a competitive advantage. The process of gathering and processing data is much easier with the aid of ...

The potential of data-driven decision making Concurring to Salesforce’s Research, 80% of business professionals agreed to adopt data-driven decision-making, an approach of leveraging data and ...

Feature selection is a critical process in ML that helps eliminate irrelevant or redundant variables, leading to better ...

Luca, Michael, and Amy C. Edmondson. "Where Data-Driven Decision-Making Can Go Wrong." Harvard Business Review 102, no. 5 (September–October 2024): 80–89.

In an era where data-driven decision-making is the backbone of industry transformation, Paras Doshi stands as a visionary ...

IQVIA Holdings Inc. (NYSE:IQV), a global leader in advanced analytics, technology solutions, and clinical research services for the healthcare and life sciences industries, finds itself at a critical ...

This forms the basis for achieving sustainable interdisciplinary value chains and for data-driven decision support in complex systems. The key challenges here are usability, availability and access.

The model's data-driven logic also incorporates science-based decision support, aiding in diagnosis and optimized treatment plans. Looking ahead, Fangzhou is focused on developing a number of "AI ...