Possibilities Unlocked

Continuous learning unlocks endless possibilities

Education never ends

Aviturians are determined to find new possibilities at every turn and recognize challenges as opportunities for growth. We believe learning is a continuous journey and that education has no end point. Join us on this journey; explore our insights to see what we’ve learned and what we’re continuing to discover.

Get the latest Aviturian insights sent straight to your inbox.

Blog Feature

January 11, 2023

Artificial Intelligence Versus Machine Learning: What You Should Know

Defining Dev  |  artificial intelligence  |  machine learning

In today’s world, it’s nearly impossible to not have heard the words, “artificial intelligence” or “machine learning” when talking about some of the most bleeding-edge technology across multiple fields. (Cough, cough — ChatGPT!) 

Read this post

Blog Feature

November 17, 2021

How to Define Sentiment Analysis and Apply It to Your Organization

artificial intelligence  |  machine learning  |  sentiment analysis

What’s the best way to know how people really feel about your business, product, or service?   Sales are certainly one metric. If your sales increase, that’s a sign that people appreciate what you’ve put in the market. But this metric is imperfect, as it could also suggest that you have a product or service that’s so valuable, people are willing to overlook minor or even major inconveniences.

Read this post

Blog Feature

July 21, 2021

Why Computer Vision? What It Is, Its Uses and How It Will Aid Your Mission

Data engineering  |  artificial intelligence  |  machine learning

The world isn’t made of 1’s and 0’s (unless you subscribe to the theory that we’re living in a simulation a la The Matrix, in which case, who hurt you?).

Read this post

Blog Feature

April 21, 2021

What is Machine Learning? Myths and Reality

artificial intelligence  |  machine learning

The following article on machine learning was written by an algorithm.   Not really.   You’d be forgiven for believing that little lie. Machine learning has become a point of fascination for so many industries. The idea that a machine can be “taught” brings with it any number of potential solutions for life’s once-intractable computing and business problems. Seen in this light, would it really be all that shocking to read a blog that was written by an algorithm that “learned” how to mimic the style of a human author?

Read this post