Synthetic data is something you use when you don't have real, sensor or measurement based data. Its not un-common when you don't have enough real data ... It can come from simulations, forecasts, derived from metadata, crowdsourced. Its often used to set up initial tests... see how a model reacts to outliers, work with management, test hypotheses .... Have never seen it used exclusively, but could imagine some cases where it might.
Will 2020 Be the Year of Synthetic Data?
by Andrew White | January 9, 2020 | In the Gartner Blog
Digital is a reality. It is evolving to accommodate and exploit AI to help automate work and drive innovation; and so the hype around AI and ML continues. For an increasing number of organizations, leaders are beginning to ask, “Where is the beef?” All the proof of concepts and investments need to start paying the bills. See Toolkit: Presentation for Key Findings From the 2020 Board of Directors Survey. ... "
Subscribe to:
Post Comments (Atom)
No comments:
Post a Comment