Summary: Things are getting repetitious and that can be boring. Still, looking at lessons from the 90s it’s clear there are at least one or two decades of important economic advances that will based on our current AI/ML. Then some thoughts on where that next really huge breakthrough will come from that will return our initial excitement.
Added by William Vorhies on December 8, 2020 at 11:12am — No Comments
Summary: There is now sufficient experience among mid and large sized companies starting their AI journey to identify a single best practice for moving from AI experimentation to scale-up: the AI COE (Center of Excellence).
If you are a mid-sized business, government organization, or educational…Continue
Added by William Vorhies on December 2, 2020 at 3:18pm — No Comments
Summary: Let’s start by clarifying the difference between RPA (Robotic Process Automation) and IA (Intelligent Automation). Then we’ll show why AI/ML inside Intelligent Automation is the secret sauce that really makes this work.
Added by William Vorhies on November 18, 2020 at 9:00am — No Comments
Summary: This is a discussion of social injustice, real or perceived, promulgated or perpetuated by machine learning models. We propose a simple solution based on wide spread misunderstanding of what ML models can do.
Added by William Vorhies on September 11, 2020 at 1:38pm — No Comments
Summary: Digital Twins is a concept based in IoT but requiring the skills of machine learning and potentially AI. It’s not completely new but it is integral to Gartner’s vision of the digital enterprise and makes the Hype Cycle for 2017. It’s a major enabler of event processing as opposed to traditional request processing.Continue
Added by William Vorhies on January 2, 2018 at 8:30am — No Comments
Summary: As a profession we do a pretty poor job of agreeing on good naming conventions for really important parts of our professional lives. “Machine Learning” is just the most recent case in point. It’s had a perfectly good definition for a very long time, but now the deep learning folks are trying to hijack the term. Come on folks. Let’s make up our minds.
As a profession we do a pretty poor job of agreeing on good naming conventions…Continue
Summary: The data science press is so dominated by articles on AI and Deep Learning that it has led some folks to wonder whether Deep Learning has made traditional machine learning irrelevant. Here we explore both sides of that argument.
Summary: Are there large, sustainable career opportunities in AI and if so where? Do they lie in the current technologies of Deep Learning and Reinforcement Learning or should you focus your career on the next wave of AI?
If you’re a data scientist thinking about expanding your career options into AI you’ve got a forest and…Continue
Added by William Vorhies on September 20, 2016 at 7:33am — No Comments
Summary: What are the earliest seeds of artificial intelligence? To whom do we owe thanks for starting us down this path? Many modern researchers to be sure, but the earliest is Leonardo Torres of Spain, in about 1914.
As data scientists it’s very cool to be at the forefront in this age of techno-optimism. Since the awakening of the digital age calculated by economic researchers to have begun about 1994, a wave of increased productivity has…Continue
Added by William Vorhies on September 6, 2016 at 7:06am — No Comments
Summary: Which of these terms means the same thing: AI, Deep Learning, Machine Learning? Are you sure? While there’s overlap none of these is a complete subset of the others and none completely explains the others.
Take this quiz.
Which of the following are substantially the same things?
B. Deep Learning
C. Machine Learning
(Select your answer)
1. A and B
2. B and C
3. A and…Continue