Is programming a skill unique to itself or can we learn some fundamental lessons from other fields. Cooking perhaps. In this episode, the podcast goes to one of its favorite restaurants – Washington DC’s Green Rice and Natto – to create an episode that looks at the different kinds of skills you need as a programmer.
We also learn about the Pepperoni Bento Box, which seems to be a unique blend of cuisines.
[17225]
An innocent remark and a story unravels, a story the suggests some of the challenges that women face in trying to climb into the leadership ranks of high technology. It begins with Maddie, student at the Lillian Moller Gilbreth School for Disruptive Innovation, and the CEO of a new startup called “Watcher Dogs” and ends with our business manager and cohost trying to make sense of an incident some nine years in the past. This is the world that high technology offers to women and these are the stories we tell.
So what’s so bad about Knowledge Engineering? You’re just systematizing what your company knows. Just trying to bring some order to the chaos of the corporate world. However, it always requires a compromise. Squeezing a 7 and a half foot into a 6 and a half Louboutin, as Anna would say. In no situation are the problems of the knowledge engineered boyfriend. To ask the question of the ages, it is better to be a 70% with a 20% probability or a 20% boyfriend with a 70% probability.
[17230]
Who better to review a book about Harvard Business School than two generations of Entrepreneurs? Vinny the CTO brings the expertise of success. He founded SidePocket in the 1980s and led it to a brilliant, albeit short, life. Maddie brings the perspective of hard experience. She is the founding CEO of WatcherDogz, which is her second company. Between the two of them, they debate the question, “Why is Harvard Business School like a squirrel?”
We Read It So You Don’t Have to. There is so much new information published every day that one person can’t possible read it all much less get any perspective on it. Take Automation, Autonomous Cars, Machine Learning. All of these technologies pose new challenges to the organization and at the same time, they represent forces that are quite old. In this episode, we take a look at a new book on these topics, Industry 4.0, and an old one Automation.
We Read It So You Don’t Have to. There is so much new information published every day that one person can’t possible read it all much less get any perspective on it. Take Automation, Autonomous Cars, Machine Learning. All of these technologies pose new challenges to the organization and at the same time, they represent forces that are quite old. In this episode, we take a look at a new book on these topics, Industry 4.0, and an old one Automation.
Ok. Maddie is a bit unusual in the world of CEOs but she still needs to be ready for the politics of her Board. They’re not going to agree with her just because she has a clever tech idea and good presentation. You have to be ready. You have to think.
We think about the future in terms of the past. Star Wars, after all, takes place a long, long time ago in a galaxy far, far away. When we think about cyberdefense, we find that we are still think in terms of the static defense of physical infrastructure. We try to defend mobile data with references to earth and stone works from the 8th century.
Our Intern, Anna, attempts to explain the basic model of cyber
defense as a metaphor of castle defense. Her description, though completely accurate in argument, has a few errors of fact, errors which should make us rethink how we use metaphor to describe cyberspace.
Big Data. It gives you facts. It tells you what is really happening. It has Volume, Varity, Velocity, Veracity and, of course, Vexation of Spirit. Vexation can come with the data, no matter how much you have of it, tells you more about the structure that gathered it than the truth of any matter. When you have that, you have a problem called Simpson’s Paradox – the bane of Big Data.