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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
Marc Maleh is the Global Director of award-winning advertising firm Havas. He has over 13 years of experience in interactive and emerging technology. Prior to his role as at Havas, Maleh served as VP, Managing Director at R/GA, where he helped grow a team of Data Scientists, technologists, and creatives... Read more
Learning Effects, Network Effects and Runaway Leaders
There’s a new economic force at work in the machine learning revolution that is capable of generating increasing returns to scale, much as network effects did in the internet revolution. This force is automated learning, and its business impact comes in the form of learning effects: the more a... Read more
12 tips for Designing and Managing an AI-driven product
Here’s a question that will keep future Artificial Intelligence (AI) entrepreneurs up at night: How do you manage a product when the software starts writing itself? We’re not quite there yet, but as we build smarter, more complex software that has elements driven by AI we’re also making less predictable software.... Read more