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The Day Big Data Died
Game of Thrones, touchscreen devices, and superhero movies: those things have little in common apart from the fact that they went through a meteoric rise in the 2010s. Still, if you believe what AI experts have to say, they pale in comparison to the largest tech phenomenon of the... Read more
Gender and Artificial Intelligence
Society’s view of gender is at a critical point. The same is true for AI. So, how are these issues intersecting and what challenges are we facing in the realm of gender and artificial intelligence? 1. AI is Overwhelmingly... Read more
The 2010s: How Has the “Data Scientist” Job Evolved?
It was the early 2010s and I sensed something was afoot. I was seeing ads for something called Coursera, a new kind of online education company (called a MOOC, or massive open online course) that was offering a free “Machine Learning” class taught by Stanford professor Andrew Ng. The... Read more
Why Math is Vital for a Career in Data Science and AI
The future we have seen in science fiction movies is here. From virtual reality to functional gadgets, AI has invaded our lives in ways that no one has ever seen or expected. AI tools and chatbots have been on the verge of a breakthrough in the promptly-evolving tech realm,... Read more
3 Convincing Reasons Facial Recognition is Here to Stay
Facial recognition technology is here to stay, and we should start getting used to it. According to G2 statistics, this technology alone will generate $7 billion in revenue by 2024. Between 2014 and 2018 it became 20 times better, which indicates that 2024 this technology will become one of... Read more
How to Lead a Great Code Sprint
This blog post is the first in a series of two blog posts on participating in code sprints, and is the culmination of two other blog posts I’ve written on leading a sprint. In this post, I’ll be writing it from the perspective of what a sprint participant might... Read more
How to Integrate Design Thinking Into Your Business
We spend a lot of time on Open Data Science talking about the technical side of data science and business but don’t be fooled: the human element needs to be there. Companies making the best use of data science still center the human experience in their business growth and... Read more
An In-Depth Look at the “Why” and “How” of Diversity in Data Science
Ask anyone for a list of “buzzwords” and diversity is bound to show up high on the list. As a society, we’ve been discussing it for years; even the tech and data science industries come under scrutiny. In this article, we’ll dive deep into what diversity really means, why... Read more
What Your Business Needs to Know About Data Variety
The bigger your business, the more likely your data is…interesting. Old methods of data collection put data in silos across several departments. The computing power to handle data in all its forms wasn’t there, so breaking it up in the name of agile operations was key. Now, we’ve got... Read more
The Bright Side of Technology in Black Mirror
The technology in Black Mirror isn’t actually all about death and nihilism. The British anthology sci-fi show Black Mirror (created by Charlie Booker and Annabel Jones) tackles technology in almost all of its episodes. With a varying degree of realism, implied moral take-aways, and success, the show seems to put technology... Read more