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How To Make 2023 A Successful Year for Your Projects

Rebel’s Guide to PM

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.

2023 397
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What We’re Reading This Week: The Fascination of Automation + AI

LiquidPlanner

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.

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How To Make 2018 A Successful Year for Your Projects

Rebel’s Guide to PM

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.

2018 295
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How To Make 2019 A Successful Year for Your Projects

Rebel’s Guide to PM

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.

2019 290
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100+ Tech Conferences and Events to Attend in Europe 2020

Teamweek

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.

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Software Estimating Resources

Herding Cats

“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.