Application Development Artificial Inteligence Manufacturing 
Rebel’s Guide to PM
JANUARY 31, 2023
In these next years, we’re going to see a new wave of what software can do with the growing capabilities of machine learning, artificial intelligence and data pipelines across enterprises. John is the co-author of Agile Project Management for Mobile Application Development.
Online PM Courses
SEPTEMBER 8, 2024
These lightweight methods included: Rapid Application Development (RAD), from 1991 (which my colleagues were using – says Mike) The Unified Process (UP) , from 1994 Dynamic Systems Development Method (DSDM), from 1994 Scrum , from 1995 Crystal Clear, from 1996 eXtreme Programming (XP), from 1996; Feature-Driven Development (FDD), from 1997.
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LiquidPlanner
JULY 1, 2016
It’s about time to connect a few concepts that until recently been somewhat disconnected: automation and machine learning. Now comes the promise of connecting automation with machine learning—systems capable of learning without the need to be constantly programed—and it’s fascinating. Automation isn’t new.
Rebel’s Guide to PM
JANUARY 3, 2018
In these next years, we’re going to see a new wave of what software can do with the growing capabilities of machine learning, artificial intelligence and data pipelines across enterprises. John is the co-author of Agile Project Management for Mobile Application Development. Mike Clayton. Mike Clayton.
Rebel’s Guide to PM
JANUARY 7, 2019
In these next years, we’re going to see a new wave of what software can do with the growing capabilities of machine learning, artificial intelligence and data pipelines across enterprises. John is the co-author of Agile Project Management for Mobile Application Development. Mike Clayton. Mike Clayton.
Teamweek
JANUARY 23, 2020
Attracting 25,000 visitors and in excess of 600 exhibitors, MACH is the platform to connect UK manufacturing engineers, decision makers, buyers and specifiers with suppliers of new technology, equipment, services and processes. In their words: The Biggest multitrack Tech Conference of the Netherlands for all software developers.
Herding Cats
MAY 7, 2019
“Benchmarking Effort Estimation Models Using Archetypal Analysis,” Nikolaos Mittas, Vagia Karpenisi, and Lefteris Angelis, ACM PROMIS ’14, September 17, 2014. Nobel Approaches & Practical Applications, AIT 2011. Predicting Web Development Effort Using a Bayesian Network,” Emilia Mendes, EASE, 2007. “A 5, October 2013.
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