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Engineering Project Management: The Essential Guide

Epicflow

Project management in engineering involves a combination of engineering background and project management skills to be able to lead engineering projects toward successful completion. What is Engineering Project Management? Project management and engineering management go hand in hand.

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Why Your Finance Team Should Help Make Big AI Decisions

Harvard Business

By involving finance teams early and often, companies can transform AI from an exciting possibility into a reliable growth engine one that delivers both top-line expansion and operational excellence.

Finance 201
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Top 15 Capacity Planning Tools for Your Business [2024]

Epicflow

Epicflow serves companies running multiple complex projects with a shared resource pool operating in the following industries: aerospace and defense, automotive, telecommunications, software development, telecommunications, healthcare as well as government institutions. It has AI-powered functionality for automation and forecasting.

Tools 253
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Main Risks of Aerospace Engineering Projects: How to Implement Wise Risk Management into Your Organization

Epicflow

The aerospace engineering sector deals with mostly large and complex projects. What are the most typical risks associated with aerospace engineering projects, and how to manage them effectively? Main Risks Affecting Aerospace Engineering Projects. Engineering risks. Let’s figure it out in the article. .

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Top 10 Manufacturing Capacity Planning Tools

Epicflow

Epicflow serves engineering-driven companies in the following industries: manufacturing, aerospace and defense, automotive, telecommunications, software development, healthcare, and government institutions. It assists with optimizing project work, enhancing collaboration, project planning, and resource management.

Tools 240
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When It Comes to Long-Term Value, Incumbents Should Think Like Digital Disruptors

Harvard Business

While digital disruptors have pioneered this approach, established companies are actually often better positioned to take advantage of this “digital growth engine” because they have one thing startups lack: customers. 5) Launch a data and AI-enabled omnichannel customer outreach program, and 6) Transform KPIs, structure, and incentives.

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How to Implement AI — Responsibly

Harvard Business

They determined that, although data engineers and data scientists typically take on most responsibility from conception to production of AI development lifecycles, non-technical leaders can play a key role in ensuring the integration of responsible AI.

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