Part of the Process

I have been struggling to write a summary of The Lean Event and Phocuswright Europe as they both packed in so much content, I have so many notes to read through! Taking the two together it's clear to me that they are natural complements. Indeed Umesh Pandya's talk on "Learing to build wayfindr: independant travel for blind people" would not have been out of place at Phocuswright, just as Gary Morrison's afternoon keynote on Expedia Worldwide could have been a Lean Event session on lean in the enterprise. So i'll pick a couple of sessions from each to talk about. From The Lean Event  There were so many good sessions over the two days, but I'll briefly talk about Jared Spool's keynote on "Building a winning UX strategy" for this insight on Innovation alone - innovation is the space between current experience and aspirational experience. The simplicity of looking at innovation as gap between frustration and aspiration/delight was qui

Machine Learning Miller by Bastian Greshake When I wrote about AI and the Future last year I was reasonably excited, as an Artificial Intelligence (AI) graduate, of the possibilities and jealous of those beginning their careers in AI. Since now they have the luxury of extreme computer power and storage, 3D printing and the other abundant pieces of technology needed to create the future bounded only by our imaginations! The past couple of months though and I am noticing a bit of a trend in conference presentations (and tweets coming out of conferences) that seem to have moved a lot of the hope and hype around big data onto AI. Or more specifically machine learning. I am not going to single out any specific examples, but I feel this covers two basic areas: I don't need to know about my data or structure it to get useful information and  I won't need to configure things. because machine learning. (Lack of ) Data structure I am not sure what i

Being into product development I am unsurprisingly fasinated by features and how other product people approach and solve problems. One particular feature that intrigues me is Twitter lists.  It is a simple feature with one configuration option - private or public - and one setting to either add people or remove them from the list. There are no big built in workflows or obvious big assumptions (at least to me) of how Twitter are forcing intending you to use their list. One of the things that I love about this is that it allows you to project your needs onto the feature and use it to solve your problem . So being interested in finding out more about this - and wanting to test out Twitter polls! - I did a quick survey to see who else uses lists I'm appearing on twitter lists and use them to segment my interests (hard when following >100 ppl!) How about you? — Neil Chalk (@_neilch) 21 February 2016 Now it's not very scientific and the results were hardly overhwelmin