The Power of Data Network Effects
In the furiously competitive world of tech startups, where good entrepreneurs tend to think of comparable ideas around the same time and “hot spaces” get crowded quickly with well-funded hopefuls, competitive moats matter more than ever.  Ideally, as your startup scales, you want to not only be able to... Read more
Accuracy of Deep Learning… using ultra–wide-field fundus ophthalmoscopy for detecting rhegmatogenous retinal detachment
Editor’s note:  Additional authors and contributors of this research in the acknowledgements. Abstract Rhegmatogenous retinal detachment (RRD) is a serious condition that can lead to blindness; however, it is highly treatable with timely and appropriate treatment. Thus, early diagnosis and treatment of RRD is crucial. In this study, we... Read more
Catching up with Ryan Compton, Head of Applied Machine Learning at Clarifai
Okay. So, give us a little preview of the talk and the sort of the topics you’re hitting. Basically what it is, is over the course of the past twenty or thirty years, we’ve been having these problems where you have a computer, it’s connected to a network, suddenly... Read more
Five Best Practices in Healthcare Propensity Modeling
Editors note: This is the first post in a two-part series that discusses healthcare predictive and propensity modeling and selecting the optimal analytics partner to support your growth and engagement efforts. The second post in this series will share five critical predictive modeling questions to ask a prospective HCRM vendor. When... Read more
Why Blockchain Will Improve Your Big Data
The rise of cloud storage has helped companies collect and manage massive amounts of data. Data comes from corporate systems, Internet of Things objects and unstructured sources like online forums. New analytics tools like Hadoop help companies make sense of that data. Yet simply having data and analysis tools... Read more
Why Machine Learning Is A Metaphor For Life
Seriously. Hear me out on this. The more I learn about ML, the more I see the number of similarities there are between life and machine learning concepts. Specifically, let’s think about neural networks. Let’s think of a neural net that has a bunch of input nodes and one output... Read more
Are Data Lakes Fake News?
The problem with the data lake Are data lakes fake news? The quick answer is yes and in this post I will show you why. The biggest problem I have with data lakes is that the term has been overloaded by vendors and analysts with meanings. Sometimes it seems... Read more
Aedin Culhane on Big Genetic Data, and the Bioconductor Project
The following Q&A is part of a series of interviews conducted with speakers at the 2017 ODSC East conference in Boston. This interview is with Aedin Culhane, Computational Biologist at the Dana-Farber Cancer Institue, whose talk was entitled “R and Bioconductor in Cancer Research –  Big Data in Genomics”.... Read more
Today’s Weak AI Lacks Intelligence
While Deep Learning and other ANN-based methods of machine learning have produced some amazing capabilities over the past decade, they still leave me wanting more intelligence than they can deliver. The “point neuron” used in ANN is based on an understanding of neuroscience we had back in the 1970s.... Read more
Data Science and AI in Film Production
Enabling Agile Storytelling with AI Creativity, Inc. is one of the most insightful and thought-provoking books I have read. Ed Catmull recounts his personal experiences, and talks in depth about the processes he created that made Pixar one of the most successful companies in the business. I strongly encourage you to... Read more