2024 Agile Artificial Inteligence Monitoring 
Rebel’s Guide to PM
MARCH 14, 2024
Recent advancements in tech have changed how project managers work in 2024. There are more data and analytics projects being kicked off in 2024 than previous years, with 77.6% Large Language Models help the least experience employees the most. Social skills are considered the least likely to be needed to use AI.
The IIL Blog
OCTOBER 24, 2023
In November 2022, when ChatGPT was made available to the public, it put Artificial Intelligence (AI) into the spotlight for all people – not just ‘techies’ and those who have followed AI for a long time. Indeed, Artificial Intelligence is not really new. The groundwork for AI started in the 1900s [1]. Action Taker.
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Epicflow Blog
JANUARY 30, 2024
As we’ve stepped into 2024, it’s high time to learn what trends in project management are expected to shape the domain in the near future. So, let’s take a closer look at how project management trends are expected to evolve in 2024. So, let’s take a closer look at how project management trends are expected to evolve in 2024.
Epicflow Blog
FEBRUARY 8, 2024
Let’s take a closer look at these and other manufacturing trends that are going to impact the industry in 2024. The Industrial Internet of Things makes it possible to collect data from machines and other connected objects to analyze their conditions and performance. AI-driven applications).
Project Pulse Journal
APRIL 26, 2024
This approach leverages technology and online tools to manage aspects of a project - from initiation through planning, execution, monitoring, and closure. Knowing how to manage projects effectively in a digital setting ensures that your organization stays agile, competitive, and capable of meeting its strategic goals.
Epicflow Blog
AUGUST 6, 2019
The Fourth Industrial Revolution revolves around technology, smart sensors that collect real-time data, artificial intelligence that increases production efficiency, and better manufacturing quality, security, and transparency. Developments in computing ensure seamless connectivity and large-volume data processing.
Teamweek
DECEMBER 12, 2023
Workforce planning typically involves five key phases , including identifying strategic objectives, conducting a workforce supply and demand analysis, performing a skills gap analysis, developing and implementing a workforce plan, and monitoring and revising the plan as needed. Workforce planning should be dynamic and agile, not static.
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