artificial intelligence algorithms

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Data Science Jobs Report 2019: Python Way Up, Tensorflow Growing Rapidly, R Use Double SAS

In my ongoing quest to track The Popularity of Data Science Software, I've just updated my analysis of the job market. To save you from reading the entire tome, I'm reproducing that section here.One of the best ways to measure the popularity or market share of software for data science is to count the number of job advertisements that highlight knowledge of each as a requirement. Job ads are rich in information and are backed by money, so they are perhaps the best measure of how popular each software is now. Plots of change in job demand give us a good idea of what is likely to become more popular in the future. Read More »

The New Rules of Healthcare Platforms (Part 1): Value Creation Shifts from Pipes to Platforms

Value for customers is created differently on platforms than by traditional product/service business models. Today we’ll present and discuss the metaphor of how traditional businesses can be thought of as “pipelines” and how these pipes differ from digital platforms. This post is the first in a new series: “The New Rules of Healthcare Platforms.” We’ll be writing about platform thinking, new mental models, and the new economics of platform business models and strategy. We’ll have at least seven posts to explain these new rules. You’ll have some unlearning to do. We’ll illustrate how platform business models are fundamentally different than traditional product/service business models. To understand platforms, we need to change more than just our thinking—we need to learn new rules about how the digital world works and how platforms fit in.