A Short Discussion on Bias in Machine Learning

A Short Discussion on Bias in Machine Learning

  • Posted by Daitan Innovation Team
  • On June 8, 2021
  • Artificial Intelligence, Bias, Machine Learning
Machine learning systems are being used to decide if someone should receive loans from a bank, send people to jail, or determine the optimal locations where extra police force should be sent. Though many people see these late advances as a good thing (and in fact, they could be), there is a problem that can easily outweigh the possible benefits of each of these solutions. A problem that relates to our deepest social issues and can show up on pretty much any stage of a machine learning project lifecycle.That is the problem of bias.
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 The Untapped Potential of AI in Financial Services

The Untapped Potential of AI in Financial Services

  • Posted by Daitan Innovation Team
  • On May 27, 2021
  • Artificial Intelligence, Data Science, Data-Driven, Finance, Financial Services
To keep up with the evolving finance market, you first need to become savvy in the digital market. This means taking advantage of AI in financial services. It is now emperative to take advantage of your data and leverage the wealth of information within. Emerj has highlighted just how important this is within their in-depth […]
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 PODCAST: AI Capabilities in Financial Services

PODCAST: AI Capabilities in Financial Services

  • Posted by Daitan Innovation Team
  • On May 27, 2021
  • Artificial Intelligence, Banking, Data, Data driven, Financial Services, Podcast
Our podcast outlines a Q&A between veteran data scientists who are experienced in helping Financial Services companies find success within their data
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 Using Data-Driven Decision-Making to Drive Business Growth

Using Data-Driven Decision-Making to Drive Business Growth

  • Posted by GM, Digital Solutions
  • On April 1, 2021
  • Artificial Intelligence, Business Goals, Data, Data-Driven, Digital Business, Machine Learning
The data you’ve collected, processed, and analyzed is no longer just data - it’s now a decision-making asset that can drive business growth.
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 ROI of AI: The Cost-Benefit of Your Next Project

ROI of AI: The Cost-Benefit of Your Next Project

  • Posted by GM, Digital Solutions
  • On March 25, 2021
  • AI Project Costs, Artificial Intelligence, Budgets, Machine Learning, ROI
Partnering with an AI/ML consulting and software company enables leaders to hit the ground running with experienced talent in a cost-effective manner.
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 Planning An AI Project: The Four Pillars of Success

Planning An AI Project: The Four Pillars of Success

  • Posted by GM, Digital Solutions
  • On March 19, 2021
  • Artificial Intelligence, Budgets, Machine Learning Project
When planning an AI Project for success, you need to leverage the four pillars. But none of the four can stand alone. They all must work together to achieve desired results.
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 What is a Data-Driven Organization?

What is a Data-Driven Organization?

  • Posted by GM, Digital Solutions
  • On March 4, 2021
  • Artificial Intelligence, Data-Driven, Machine Learning
Given the sheer volume of data that organizations generate today, those that derive actionable insights from their databases enjoy a significant competitive advantage.
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 How Much Do AI Projects Really Cost?

How Much Do AI Projects Really Cost?

  • Posted by Daitan CTO
  • On February 25, 2021
  • Artificial Intelligence
When seeking stakeholder buy-in for your AI project, make sure to consider both AI project budgets: the one for starting up to prove a technological goal, and the one for productization.
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 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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