Word of the Day: synthetic data

Word of the Day Daily updates on the latest technology terms |March 7, 2018

synthetic data Synthetic data is information that's artificially manufactured rather than generated by real-world events. Synthetic data is created algorithmically, and it is used as a stand-in for test datasets of production or operational data, to validate mathematical models and, increasingly, to train machine learning models. The benefits of using synthetic data include reducing constraints when using sensitive or regulated data, tailoring the data needs to certain conditions that cannot be obtained with authentic data and generating datasets for software testing and quality assurance purposes for DevOps teams. Drawbacks include inconsistencies when trying to replicate the complexity found within the original dataset and the inability to replace authentic data outright, as accurate authentic data is still required to produce useful synthetic examples of the information. Read more... Quote of the Day "Synthetic data can be valuable in situations where data is restricted, sensitive or subject to regulatory compliance." - David Schatsky   Trending Terms algorithmic accountability deep learning machine vision data scientist DevOps machine learning   Learning Center Expert panel warns developers to beware of AI bias Developers who build AI applications must be on the lookout for AI bias that seems to be inevitable in the current crop of systems. Synthetic data could ease the burden of training data for AI models Synthetic data is artificially manufactured training data designed to work as effectively as the real thing. Big data throws big biases into machine learning data sets Data bias in machine learning data sets is a big problem for AI, and correcting it is no small feat. At AI World, 'black cat' problems and data mysteries abound At the recent AI World event, Dun & Bradstreet's Anthony Scriffignano explains why AI explorations are akin to searching for black cats in a dark room. How to win in the AI era? For now, it's all about the data In today's AI era, data is what will separate winners from losers in the race to exploit artificial intelligence, according to deep learning pioneer Andrew Ng. Writing for Business Some employees fear that computers will take over their jobs with the _______ of machine learning, but that is not the case. a. raise b. rise Answer   Stay In Touch For feedback about any of our definitions or to suggest a new definition, please contact me at: mrouse@techtarget.com   Visit the Word of the Day Archives and catch up on what you've missed!   FOLLOW US About This E-Newsletter This e-newsletter is published by the TechTarget network. To unsubscribe from Whatis.com, click here. Please note, this will not affect any other subscriptions you have signed up for. TechTarget, Whatis, 275 Grove Street, Newton, MA 02466. Contact: webmaster@techtarget.com Copyright 2018 TechTarget. All rights reserved.