Summary: There are some interesting use cases where combining CNNs and RNN/LSTMs seems to make sense and a number of researchers pursuing this. However, the latest tren...
Summary: Before starting to develop an AI strategy, make sure your team understands the limits of what is reasonable today, as well as incremental improvements that mig...
Summary: Now that we’ve detailed the four main AI-first strategies: Data Dominance, Vertical, Horizontal, and Systems of Intelligence, it’s time to pick. Here we ...
Semantics is an area of linguistics and natural language processing to help make sense and meaning of the world around us. In visual analytics, using principles of semant...
Bill is the Editorial Director for Data Science Central, and President and Chief Data Scientist at Data-Magnum, providing predictive analytics and big data infrastructur...
Summary: The fourth and final AI strategy we’ll review is Systems of Intelligence (SOI). This is getting nearly as much attention as the Vertical strategy we previo...
Every organization wants to infuse the power of AI in its business. In this second of two parts we’ll explore the productivity, performance and cost considerations that...
Summary: Getting an AI startup to scale for an IPO is currently elusive. Several different strategies are being discussed around the industry and here we talk about t...
Summary: Our recent series of articles on AI strategies shows the options available for the strategic direction of your AI-first company. Here are some thoughts on mo...
Andrew Ng is a great fan of reading research papers as a long term investment in your own study (On Life, Creativity, And Failure about Andrew Ng). Anyone who has work...