Please enjoy this interview broadcast today with me and Daniel G. Faggella of TechEmergence. I touch on intelligence augmentation (IA), machine learning in vision, text, and other domains, the emerging decision intelligence ecosystem, the...
Are we getting dumber? Or is stuff just harder? Both are true. Between-silo problems are the new bottleneck. We’re inundated with information, so we take cognitive short cuts. And “wicked” problems keep getting...
Conferences are for meetings. Project teams build deliverables. Data is for data scientists. Online communities are for social contact. Until now, when a new mix is emerging. Can we solve difficult problems in a...
2015 was a turning point year for machine learning. Check it out:
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...
