Poorly Defined Goals Put Your Next AI Project at Risk

Poorly Defined Goals Put Your Next AI Project at Risk

  • Posted by GM, Digital Solutions
  • On January 21, 2021
  • AI Project, AI Project Goals, Artificial Intelligence, Business Goals, Machine Learning
Any technical project needs clearly defined goals for the best chance at a successful outcome. When using an emerging technology, like artificial intelligence, this issue becomes even more critical.
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 Exploring the Viability of Generative Adversarial Networks for Audio Denoising

Exploring the Viability of Generative Adversarial Networks for Audio Denoising

  • Posted by Daitan Innovation Team
  • On November 18, 2020
  • AI, Artificial Intelligence, Audio, Audio De-noiser
There are various definitions of audio denoising. For the purposes of this project we interpret audio denoising to be the removal of any sound other than the primary speaker's voice. Thalles Santos Silva covers the mathematical concepts behind denoising and the CNN in his 2019 article. He also provides background information about the two datasets involved (Mozilla Common Voice English dataset and the UrbanSound8k dataset).
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 Privacy-Preserving Data Sharing for Data Science

Privacy-Preserving Data Sharing for Data Science

  • Posted by Daitan Innovation Team
  • On April 15, 2020
  • Artificial Intelligence, Data, Data Science, Data Sharing, Deep Learning, Differential Privacy, Privacy
In the last 2 decades, with the increasing availability of sensors and the popularity of the internet, data has never been so ubiquitous. Yet, having access to personal data to perform statistical analysis is hard. In fact, that is one of the main reasons we, as data analysts, spend so much time doing research using “toy” datasets, instead of using real-world data.
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