Have you ever felt frustrated during an innovation effort? You are not alone. Lie down on the Innovation couch and let’s talk about it.

Have you ever had the need to explain to someone (a friend, a colleague or your board) the difference between Continuous Improvement and Innovation? How did you do it? Is there a difference? Well, in this short post, I will share with you a possible explanation that you can use. Of course, you can disagree with me and offer a better argument, which I will be very happy to discuss.

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What is an expert? If we take the definition of the Cambridge Dictionary, an expert is “a person with a high level of knowledge or skill relating to a particular subject or activity”. No problem with this definition, right? So… a machine cannot be an expert? Well, in this post I will try to elaborate a little around these issues and how they relate to Innovation.

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There is no serious (or not so serious) innovation blog without a specific post on quotes, so after passing the 20 post frontier, I believe the time to do the “quote post” has finally arrived! Anyhow, people who know me are aware that I am quite fond of some particular quotes and of using quotes in general to focus or anchor a point, so this post actually comes as quite natural to me.

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There are two visions of the world. In the first one, space is limited, so any new thing needs to come at the expense of something already existing. On the other hand, there is another vision where space is unlimited and there is always room for expansion and creation of new things. Allow me to get a little philosophical today and talk about Innovation from these perspectives.

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I have just ended my holidays this summer and I would like to share with you some thinking I did during those days when you are able to clear your mind from everyday issues and problems. I want to go back to basics with a new post on the Physics of Innovation, where I try to make an analogy between physical laws and Business Innovation. So let’s give some thought to Newton’s Laws…

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If you ask me which is the concept I have used the most in my Innovation Management talks, I am sure it would be that of the Innovation Horizons, well, probably closely following the definition of Innovation itself. However, I have never explained in this blog my view about this concept and why I believe it is so important, so it is about time I do it.

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Some time ago, I was reading an article from @aalbaperez about how Digital Transformation is an issue much more related to people that to technology. I started thinking how different principles and theories we apply to technology, or other business management aspects, could be perfectly applicable to people. With this in mind, I want to elaborate a little in this short article about the concept of S-Curves applied to a professional career. I originally published this article directly on LinkedIn, but I hope you find it interesting.

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In my last Innovation Papers post, I approached the subject of Deep Learning and introduced the concept of Neural Networks, which I had began to understand through Andrew Ng’s Coursera course on the matter. We got as far as introducing these computing constructions called neural networks (due to their “shape” being similar to neuron cells), which are capable of identifying patterns in the information we input, allowing them to distinguish between different sets of data (it is or it is not the picture of a cat). That is great, and certainly most useful. However, it is not my objective to speak about the possible applications of Deep Learning using neural networks, but instead to try to explain, in simple terms, how they are able to do what they do, as well as how surprising it was for me to see its simplicity.

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