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Smart Manufacturing: Examples & Benefits

ProjectManager.com

The term smart manufacturing was first used in the mid-2000s as new technologies such as 3D printing or additive manufacturing and artificial intelligence became more prominent. Smart factories have a basic structure of data acquisition, data analysis and intelligent factory automation.

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Artificial Intelligence and Project Management: The First Step!

The IIL Blog

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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White Paper | The Impact of Artificial Intelligence in Project Management – A Survey

The IIL Blog

Abstract The integration of Artificial Intelligence (AI) into project management is revolutionizing traditional practices, bringing about profound changes in how projects are planned, executed, and monitored. She is an experienced leader and has been a partner in transformation in various industries.

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Human–AI Synergy in Innovation: from Innovation Management Software To Open Innovation

The IIL Blog

By Luigi Morsa and Richard Maltzman Introduction In a former article on this Blog, we discussed how Artificial Intelligence (AI) software intersects with Project Management [1]. The start-up PatentPlus is an example of how Artificial Intelligence can be applied to Open Innovation.

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What Is Demand Planning? Tips, Strategies and Tools

ProjectManager.com

Modeling: Feed your collected data into models such as algorithms and artificial intelligence that can predict the future demand for your product. Statistical Forecasting: Look over your sales, inventory levels and other operational data to get a full picture of your capacity. Try ProjectManager today for free.

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The Future of Risk Management – Will AI do All the Work for Us?

The IIL Blog

Artificial intelligence is emerging as a transformative force. Machine learning algorithms can process and interpret data at unprecedented speeds, providing insights that help organizations anticipate and mitigate risks more effectively.

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Typical Challenges in Manufacturing Projects and Ways to Address Them

Epicflow Blog

Monitor resource performance to timely detect improper workload: both overload and idleness reduce resource productivity. The integration of advanced technologies (AI, machine learning, automation, etc.) You can also divide large and complex projects into phases, which will simplify their management, monitoring, and control.