Epicflow

JUNE 10, 2022

Finally, increased digitalization carries cybersecurity risks that can put sensitive data as well as a project’s safety at stake. . Risks specific for the aerospace and defense industry. Competition at the domestic and international markets. Effective Risks Management in Aerospace Engineering Companies .

Engineering 98

Engineering Management How To Risk Analysis 98

Epicflow

FEBRUARY 15, 2024

Meeting the increasing demand under conditions of ongoing resource shortage is a challenge for manufacturing project management. Uncertainty There are various sources of uncertainty in manufacturing: inflation, ongoing supply chain challenges, geopolitical tensions, changing market demands, and even the latest technology adoption.

Management 52

Management Strategy Strategy Strategy& 52

Comatch

MAY 16, 2022

Many companies in European markets that have producers or suppliers in China currently do not assess carbon footprint in their supply chains. The European Union will start to demand carbon footprint data from 2023 and introduce a carbon border tax from January 2026. degrees Celsius this century.

Chemicals 52

Chemicals Energy Metrics Industry 52

Epicflow

MARCH 22, 2024

This article is inspired by the webinar featuring Epicflow co-founder Jan Willem Tromp and professor Mario Vanhoucke based on his latest book “The Illusion of Control: Project Data, Computer Algorithms and Human Intuition for Project Management and Control”. So, what do you need for an efficient risk analysis?

Risk Analysis 52

Risk Analysis Data Management Analysis 52

Epicflow

APRIL 29, 2022

A risk log should be shared with all project stakeholders and team members and reviewed at every team meeting not to miss any important updates. . Let’s explore how a risk register should be created. How to Create a Risk Register? Before filling in a risk register, you should think of all possible risks.

Resources 52

Resources Efficiency Management Examples 52

Harvard Business

AUGUST 1, 2018

Machine learning is increasingly being used to predict individuals’ attitudes, behaviors, and preferences across an array of applications — from personalized marketing to precision medicine. Sampling bias may produce models trained on data that is not fully representative of future cases.

Data 31

Data Training Training Metrics 31