Why The Discovery Phase Is Essential For All Software Development Projects

Why The Discovery Phase Is Essential For All Software Development Projects

  • Posted by GM, Digital Solutions
  • On August 26, 2021
  • AI, Artificial Intelligence, Business Outcome, Discovery., Experience Design, Machine Learning, Machine Learning Project, Project Risk, Software Development, Software Projects
The Discovery Phase is paramount with all software product development. Discovery serves an important purpose by ensuring product teams learn all they can about their customers and define the optimum path to achieving the vision. They also bring stakeholders together from across the organization to align on a project’s scope and keep people focused on […]
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 5 Early Signs That Your AI Project May Fail

5 Early Signs That Your AI Project May Fail

  • Posted by GM, Digital Solutions
  • On August 5, 2021
  • AI, Artificial Intelligence, Data Science, Machine Learning, Machine Learning Project
Artificial intelligence (AI) can be a gamechanger for companies that know how to harness its full potential. Technology has the power to completely transform operations and free humans up from repetitive, mundane tasks that detract from truly exciting work. So why is there so much uncertainty surrounding AI project risk? The problem is that enterprise […]
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 The Time Series Forecasting Playground

The Time Series Forecasting Playground

  • Posted by Daitan Innovation Team
  • On June 2, 2021
  • AI, Open Source, Time Series Forecast
Here at Daitan, time series forecasting has been one of the most important applications of machine learning and today, we are pleased to announce the first (to our knowledge) time series forecasting playground. Inspired by the Neural Network Playground and the GAN Lab, the The Time Series Playground is an interactive open-source tool designed to provide intuition on how to train AutoRegressive Feed Forward Neural Networks for time series forecasting.
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 Introducing MLOps

Introducing MLOps

  • Posted by Daitan Innovation Team
  • On May 14, 2021
  • AI, Machine Learning, MLOps
An introductory discussion about MLOps and a set of essential practices for scaling Machine Learning-powered applications.
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 Three Ways Financial Services Leaders Can Create Value With AI Today

Three Ways Financial Services Leaders Can Create Value With AI Today

  • Posted by GM, Digital Solutions
  • On May 14, 2021
  • AI, Financial Services, Machine Learning
AI is transforming nearly every industry in the world. One sector, in particular, that is experiencing significant change is the financial services industry. Financial institutions (FIs) everywhere are using AI/ML to provide differentiated experiences in a market that is only growing more competitive.   Those that harness the full potential of AI/ML will survive in our […]
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 Daitan Data Scientist Presents at Ninth International Conference on Learning Representations (ICLR) 2021

Daitan Data Scientist Presents at Ninth International Conference on Learning Representations (ICLR) 2021

  • Posted by Marketing Daitan
  • On May 7, 2021
  • AI, Data Science, Deep Learning
Daitan is proud to announce that at the Ninth International Conference on Learning Representations (ICLR) our Data Scientist, Thalles Santos SIlva is presenting (virtually) the paper titled, Consistent Assignment for Representation Learning,  which is being held during the Energy Based Models Workshop session at ICLR2021 on May 7th, 2021. The presentation introduces Consistent Assignment for […]
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 Comparing different types of AI/ML Partners

Comparing different types of AI/ML Partners

  • Posted by GM, Digital Solutions
  • On December 3, 2020
  • AI, Data Science, Hiring, Software Development
An AI/ML project is often more challenging than an “ordinary” software project. It comes with unique risks that can threaten the desired business outcome. Given the high rate of project failures, or those that remain in “POC Purgatory” unable to be scaled into production, it’s critical for AI project owners to understand the risks they face to reach a successful product execution. In this article we will discuss one of these risks: the importance of building a team with the right skill sets
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How to Build Your Own Intelligent Assistant Using RASA

  • Posted by Daitan Innovation Team
  • On November 25, 2020
  • AI, Chatbot, Open Source, RASA

Chatbots are everywhere. So are the tools that promise easy development and deployment of these applications. Frameworks like Google DialogFlow, Microsoft Luis, and Amazon Lex are fighting (badly) each-other to control this growing market.

In this blog post, we describe an...

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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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