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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... 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... 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... 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,... 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:... 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... Read more
How Automation is Going to Redefine What it Means to Work
IN BRIEF The time for machines to take over most of humanity’s work is rapidly approaching. The world is woefully unprepared to deal with the implications that automation will have over the coming decades. Universal basic income is just beginning to be discussed, and automation has... Read more
A computer was asked to predict which start-ups would be successful. The results were astonishing
In 2009, Ira Sager of Businessweek magazine set a challenge for Quid AI’s CEO Bob Goodson: programme a computer to pick 50 unheard of companies that are set to rock the world. The domain of picking “start-up winners” was – and largely still is – dominated... Read more
Actuaries are bringing Netflix-like predictive modeling to health care
I’m an actuary. That means I use numbers to try to understand human behavior, manage risk, and evaluate the likelihood that a particular thing will happen in the future. Most people associate my work with green eyeshades and the morbid business of predicting how long someone... Read more
How to Get Executive-Level Support for Business Analysis
It probably goes without saying that PMI’s foundational standard on business analysis has an obvious audience—those who actually do business analysis as part of their everyday job. It’s pretty unlikely executives or CIOs are going to pick it up for some light reading. That’s why I wanted to... Read more