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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 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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 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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 Machine Learning for Anomaly Detection

Machine Learning for Anomaly Detection

  • Posted by Wilker Amorim
  • On December 8, 2019
  • AI, Communications, Machine Learning, Symphony Platform, Telecommunications, Time Series Forecast
Build and implement an AI solution to monitor, analyze and alert Communications companies of deviations from normal traffic behavior, detecting robocalling and fraud.
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 Programming With Data

Programming With Data

  • Posted by Daitan CTO
  • On November 5, 2019
  • Data, Data Centers, Data Science, Machine Learning
In this post, I will share a very basic view of the technologies that are used to build ML solutions with the goal of helping those who have not had exposure to this domain understand where all the hype comes from. For my engineering colleagues, keep in mind that this article is meant to very simply present this technically complex field; and, does not tackle detailed technical challenges, the compelling issue of bias, and social concerns about ML/AI replacing jobs.
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 Storing and Retrieving Machine Learning Models at Scale With Distributed Object Storage

Storing and Retrieving Machine Learning Models at Scale With Distributed Object Storage

  • Posted by Daitan Innovation Team
  • On September 6, 2019
  • Machine Learning, Object Storage
The need to quickly create, store, and fetch machine learning models at scale is rapidly increasing. Examples of applications include recommender systems that are based on individual customers’ purchasing habits or detection of fraud attempts based on each customer’s past behavior, among many others.
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 Exponential Smoothing Methods for Time Series Forecasting

Exponential Smoothing Methods for Time Series Forecasting

  • Posted by Daitan Innovation Team
  • On August 7, 2019
  • Exponential Smoothing, Machine Learning, Time Series Forecast
In our last two articles, we covered basic concepts of time series data and decomposition analysis. Following that, it’s now time to apply that knowledge to a practical algorithm. In this piece, we provide an overview of Exponential Smoothing Methods.
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