Data Archives - DAITAN

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.

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.

Fundamentals of Time Series Data and Forecasting

Posted by Daitan Innovation Team
On July 25, 2019
AI, Data, Time Series Data, Time Series Forecast

Time series forecasting is the use of statistical methods to predict future behavior based on historical data. This is similar to other statistical learning approaches, such as supervised or unsupervised learning. However, time series forecasting has many nuances that make it different from regular machine learning. From data processing all the way to model validation, time series forecasting is a different beast.Many companies are exploring time series forecasting as a way of making better business decisions.

Data Pipeline & Analytics Solution

Posted by Wilker Amorim
On December 7, 2018
Analytics, Data, Telecommunications

Building a near real-time analytics system, orchestrating multiple computer clusters analyzing over 15 billion events (or 13 Terabytes of data) per day.

An AI-Powered Customer Experience Requires Breaking Down Data Silos

Posted by Marketing Daitan
On September 6, 2018
AI, Architecture, Customer Experience, Data

BLOG - Today’s consumer expectations cannot be ignored. A customer calling a company on their mobile phone, texting via a message window, or emailing to a support system, expects that company to know instantly who they are without asking

Practical Facts About the Current State of Machine Learning and Artificial Intelligence

Posted by Marketing Daitan
On August 11, 2018
AI, Data, Digital Transformation, Machine Learning

Over the past 2 years, Daitan has helped a number of our clients implement advanced technology solutions, as well as provided Data Science, Data Engineering, Customer Experience and DevOps resources to successfully implement it. In our experience, companies are taking measured steps to take advantage of Machine Learning and Artificial Intelligence technologies based on clear business objectives that intelligently further growth.

An AI-Powered Customer Experience Requires Breaking Down Data Silos

Posted by Marketing Daitan
On June 11, 2018
AI, Customer Experience, Data

Today’s consumer expectations cannot be ignored. Gartner predicted that by 2020 customers will manage 85% of their relationship with an enterprise without interacting with a human. The convergence of data, devices and technologies like Artificial Intelligence are making the vision a plausible outcome for businesses pursuing Digital Transformation.

The Shift from Data-Centric to Event-Centric Thinking Underscores Digital Business Transformation

Posted by Marketing Daitan
On March 4, 2018
Architecture, Data, Event-Driven Architecture

One of the better outcomes of Digital Business has been that organizations are becoming outward-facing and more inclusive of their customers’ needs, reactions and feedback. As a consequence, their customer facing solutions are transforming into fully inclusive, engagement-driven ecosystems. This shift is driving a transition from retrospective data-centric thinking to event-centric thinking. Gartner comments in their May 2017 report, Champion Event Thinking to Excel at Digital Business:

Programming With Data

Fundamentals of Time Series Data and Forecasting

Data Pipeline & Analytics Solution

An AI-Powered Customer Experience Requires Breaking Down Data Silos

Practical Facts About the Current State of Machine Learning and Artificial Intelligence

An AI-Powered Customer Experience Requires Breaking Down Data Silos

The Shift from Data-Centric to Event-Centric Thinking Underscores Digital Business Transformation

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