Artificial Intelligence (AI) Insights
AI Explained in 140 Characters
There is a lot of information out there about AI: what it is, what it’s not,...
Out-of-the-Box Data Science Platform: Buy vs. Build
Data is one of the most valuable assets to an organization. A strong data science...
Blockchain: A Revolutionary Technology That Won’t Change Hotel Distribution
The fierce debate about blockchain rages on. The evangelists insist that it will be as...
Unifying the Backend – Why We Need to Unite Data Science and DevOps
Your company has invested in data science; you’ve created data teams, invested in expensive data...
Understanding New AI With Old Math, and Why We Should Care
We’ve seen The Matrix, i,Robot, 2001: A Space Odyssey, The Terminator, etc, imagining AI will...
Top 3 Most Popular Neural Networks
ANN, CNN, FFN, RNN… That’s a lot of N’s! Even for someone ensconced in the...
The Biggest Challenge in Data Science
By this point, data science seems ubiquitous and wildly successful. Recommendation engines govern the content...
5 Data Science Trends that Need to End
If you’ve taken an introductory course in data science, or simply read a lot of...
Does My Model Smell Funny? Top Takeaways from Technical Debt in Machine Learning Systems
Sniffing Out Technical Debt in Machine Learning Solutions With the democratization and open-sourcing of machine...
Demystifying Neural Networks: the Theory
In my previous post on the Deep Learning Summit in Boston, I discussed Maithra Raghu’s...
Highlights from the Deep Learning Summit: Neural Networks Demystified and Domain Adaptation
I recently had the pleasure of attending REWORK’s Deep Learning Summit in Boston. Two topics...
Deep Learning: Its Power, Promise and the Future of Analytics
Artificial intelligence (AI) won’t be taking over our world, but it will be augmenting human...