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Tag: training data

Synthetic Data: Sometimes Better Than the Real Thing

Mar 16, 2021 |

Having a large stockpile of data is still a prerequisite for advanced analytics and AI. But companies building AI models increasingly are finding that artificially created data can be just as good as the real thing. Read more…

Synthetic Data Market Gets Real

Oct 14, 2019 |

A growing list of data privacy regulations along with demand for better training data is spawning new AI-based approaches to managing “personally identifiable” information, including “synthetic” data sets that remove personal information covered by current and pending privacy rules. Read more…

Air Force AI Plan Treats Data as ‘Strategic’

Oct 3, 2019 |

The U.S. military’s approach to AI is equal parts offense and defense, acknowledging that primary adversary China could also weaponize the technology as a form of asymmetrical warfare in which U.S. Read more…

Faulty Data is Stalling AI Projects

May 23, 2019 |

Tens of billions will be spent this year on AI development, but those efforts continue to be stymied by ratty data that has undermined model training efforts and burned through project budgets. Read more…

Training Data: Why Scale Is Critical for Your AI Future

Feb 22, 2019 |

Data is the fuel that drives AI. But there’s a big difference in the quality of fuel you can put into your AI engine. If your enterprise can create the biggest stockpile of the highest quality training data, it will likely win the AI race, but getting there is no easy task. Read more…

Transfer Learning Project Looks to Reuse Training Data

Jun 26, 2018 |

A new open source project seeks to simplify the use of a machine learning framework called “transfer learning” in which the ability to accomplish one task can be applied to subsequent tasks. Read more…

Unstructured Data Miners Chase Silver with Deep Learning

Jun 3, 2016 |

The traditional approach to mining unstructured data typically involves training machine learning models upon high-quality “gold standard” data that’s been meticulously groomed. But thanks to innovations in deep learning, more insight may be extracted at less cost by training upon larger amounts of raw data, or what’s being called “silver standard” Read more…

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