We have entered the “second machine age.” The first machine age began with the industrial revolution, which was driven primarily by technology innovation. The ability to generate massive amounts of mechanical power made humans more productive. Where the steam engine started the industrial revolution, the second machine age has taken
With all the technology advancements and innovative trends driving Industry 4.0 right now, you might expect geeky topics like the Internet of Things (IoT) or artificial intelligence (AI) to be the hottest topics of discussion among industry leaders. Instead, many leaders are still more focused on workplace culture. And here’s
In August 2017, Britta Gross spoke about General Motors’ perspective on bringing electric vehicles (and their derivatives) to market. Her point of view reaffirmed GM's research on consumer awareness of electric vehicles (only 60 percent) and consumer adoption concerns with this emerging technology. She also revealed the portfolio of cars
Remember the military computer Joshua from the 1983 Matthew Broderick movie WarGames? Joshua learned how to “play a game” by competing against other computers, got confused about reality, and nearly started WWIII. As depicted in that movie, Joshua isn’t all that different from Google’s DeepMind, which became a superhuman chess
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If you think machine learning will replace demand planners, then don’t read this post. If you think machine learning will automate and unleash the power of insights allowing demand planners to drive more value and growth, then this article is a must read.
Let’s lay down some fundamentals. In business you want to achieve the highest revenues with the best margins and the lowest costs. More specifically, in manufacturing, you want your products to be the highest quality (relative to specification) when you make the item. And you want it shipped to the
Wherever there is uncertainty there has got to be judgment, and wherever there is judgment there is an opportunity for human fallibility. Donald Redelmeirer, physician-researcher Recently, I read a fascinating book titled The Undoing Project: A Friendship That Changed Our Mind by Michael Lewis (W.W. Norton & Company, 2017). Lewis
For the last two years, I’ve spent time listening to and brainstorming with automakers, their suppliers and other technology companies about how to monetize connected vehicle data. This involves: Data that’s offloaded from a roving vehicle fleet (cars, trains, semi-trucks, farm tractors, you name it!). Data coming from driving-related mobile apps used
‘Quality‘ means many things to many people. It’s subjective and depends on the industry and product being made, but the fundamental objective is to provide the best product to the right standard associated to fit, form and function. And cost and required profit margin must also be taken into account.
