Student’s Name
Professor’s Name
Course
Date
Irving Wladawsky-Berger, Decision Making in our Increasingly Complex Organizations.
Businessweek July 12, 2019, ET
This article is generally interested in the impacts of AI advances to the processes of making decisions in the organizations. The article relates to our current class topic by relating the economic values that AI has on planning and decision making. As Professor Goldfarb stated, the best way to analyze the new technology’s effects is to assess how it reduces the cost of the most used function.
Artificial intelligence reduces prediction costs, which mean anticipations that might occur in the future. These predictions significantly impact businesses, human beings, and government activities, including decision-making. AI advancements affect decision-making processes. Decisions involve predictions and judgment. For instance, when predictions happen, the human judgment that sides with prediction becomes more valuable considering the many complex decisions organizations are asked to make.
In the article ‘Untangling Your Organization’s Decision Making,’ McKinsey stated that this era is the worst and the best for people who make decisions. Although advanced technologies are easing organizations’ decision-making processes, they tend to undermine corporate leaders who run these processes. McKinsey categorizes types of decisions as Big-bet, cross-cutting, Ad hoc, and delegated decisions. He surveyed 1250 people from 91 countries and organizations for a better understanding of the natural decision making.
The survey portrayed the winners of decision-making to be performing better in how fast they make decisions and their quality compared to their financial output. It also revealed velocity is challenging than quality during decision-making. To better understand this survey, one can consider pursuing these practices: Making decisions on the right timing, being keen on enterprise-level, and getting assurance from reliable shareholders.