Tom Spencer

JULY 28, 2023

By harnessing the potential of AI, companies can optimize the integration and management of clean technologies , leading to increased efficiency, cost savings, and environmental sustainability. AI algorithms rely on having access to large high-quality data sets for accurate analysis and decision-making.

Operations 78

Operations Energy Data System 78

Epicflow

JUNE 10, 2022

developing a poor project plan), Executing (e.g., 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. Step 2: Identifying risks . Step 3: Analyzing risks.

Engineering 98

Engineering Management How To Risk Analysis 98

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

Harvard Business

FEBRUARY 12, 2018

Contracting is a common activity, but it is one that few companies do efficiently or effectively. But recent technological developments like artificial intelligence (AI) are now helping companies overcome many of the challenges to contracting. AI software, however, can easily extract data and clarify the content of contracts. (It

Software 28

Software Tools Data Efficiency 28

Progressus

AUGUST 29, 2023

Give Accurate Project Estimates Deriving high-quality cost estimates depends heavily on the quality of data, for example, historical databases, comprehensive project plans, and standard work break down structures make it easier to make comparisons to similar projects. All estimates should link back to relevant data. Out-of-date data.

Comparison 52

Comparison Management Data Analysis 52