Abstract
<p>Synthetic data is omni present. It is system produced and man-made. Their prevalence is induced by data gaps, data model analytics, system users and system abusers. They contribute, according to some estimates, a near 30% of applied data in AI analytical models today. This may grow by 2030, to a near 80% according to some sources. A development that is considered positive by some standards and less than positive by others. And the question is the extent to which this near avalanche of synthetic data could influence the strategic thinking of corporate bodies and, probably more importantly, their leaders.</p>This will be the core of the following article. The article is qualitative in approach. The ultimate goal is developing a set of hypotheses projecting a possible impact of synthetic data on the process of strategic thinking and the patterns of strategic behaviors in business. Analysis is based on current research in both synthetic data and strategic thinking. Synthetic data source material is fairly novel given the recency of the issue. Strategic thinking source material, on the other hand, relate to new developments in the concept. The ultimate outcome of the article should provide a base for research in two very relevant areas in current AI research: synthetic data and strategic thinking.
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