More and more organizations are realizing the tremendous benefit of machine learning to their bottom line, yet many are not ready to hire a full-time machine learning expert. So a machine learning contractor/consultant/freelancer makes...
Like any maturing discipline, machine learning is splitting into specialties. And just as a surgeon uses a scalpel, and a general practitioner prefers a stethoscope, different tools are appropriate for different use cases within...
It’s critical that you understand machine learning, even if just a little bit. Why? Machine learning is at the heart of the most common artificial intelligence systems today. It’s an important new technology that’s...
Every few years, it’s exciting to witness a nascent technology emerge as a credibly disruptive influence around the world. Personal computing exploded in the 1980s, the web in the 1990s. Today, machine learning for...
The Internet of Things…Machine Learning…Self-Driving Cars…Artificial Intelligence…Big Data…Smart Cities…Decision Intelligence…my friends talk to me about their excitement about a whole lot of trends. But which ones are real, and which will fizzle? Before founding...
In the course of my decision analysis, analytics, and intelligence work for businesses and industry, I have identified a set of common points of failure in a typical decision engineering initiative. These characterize the...
This is an article about invisible things that matter. Because these things are invisible, it’s going to be harder going than usual. Because they matter, it’s worth it. There’s a story a friend told...
Once upon a time there were programmers, but not software engineers. As businesses and other organizations learned the value of this new technology, software engineering emerged as a discipline to derive maximum business value...
Throughout the history of machine learning, there have been tools that have tried to make it easier to build a learner, with a focus on the “practitioner” rather than the research scientist or professional...
We’ve been lost in data for half a century. Time to move on, friends.
