Rebel’s Guide to PM

JANUARY 31, 2023

And this article is a summary of what they replied. 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. I would also encourage project managers to be more innovative.

2023 397

2023 Technical Review Artificial Inteligence Underperforming Technical Team 397

Rebel’s Guide to PM

JANUARY 3, 2018

This article, How To Make 2018 A Successful Year for Your Projects , first appeared on Girl's Guide to Project Management. 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.

2018 295

2018 Artificial Inteligence Consulting Underperforming Technical Team 295

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.

2019 290

2019 Technical Review PMO Consulting 290

Wrike

SEPTEMBER 29, 2023

This need for scalability has given rise to the era of distributed services, which are at the forefront of modern application development. Understanding the concept, role, and architecture of distributed services is crucial for organizations looking to build scalable applications and meet the evolving demands of their users.

Artificial Inteligence 36

Artificial Inteligence Infrastructure Technical Review Application Development 36

Wrike

SEPTEMBER 30, 2023

In today’s fast-paced and ever-evolving digital landscape, innovation is the driving force behind success. With advancements in technology, there has been a paradigm shift in the way organizations approach innovation. But how did the concept of citizen developers come into existence?

Innovation 36

Innovation Technical Review Software Review Artificial Inteligence 36

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.

Estimate 40

Estimate Software Review Software 2012 40