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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]. In this article, the aim is to discuss another interesting aspect of the current features of AI software, namely the possibility to contribute to Innovation.

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Project Management Tools (AI and otherwise) to Transition from Project Management to Project Leadership!

The IIL Blog

More simply and generally the use of software, as it should in any field, should make the life (of the user) easier and provides greater capability and efficiency and with a lower probability of errors. We will explore this type of software, but first, lets take a closer look at classical Project Management software.

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Artificial Intelligence and Project Management: The First Step!

The IIL Blog

It is able to (with proper prompting) write poetry, generate code, plan vacations, translate languages and do much more. AI enables predictions that are more accurate than traditional software solutions in determining risk responses, probabilities, and their impact. Risk Management. Effective risk management has to be proactive.

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Top 10 AI Use Cases Transforming Project Management Across Various Industries

NimbleWork

This shift towards AI-driven project management enables organizations across all sectors to increase productivity, reduce errors, and focus on strategic decision-making, ultimately fostering growth and innovation. However, one of the most significant applications of AI in the software industry is code generation.

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How a Top Telecom Company Adopted Demand Management Software and Streamlined Their Projects

Planview

Demand management software helps companies improve productivity, reduce bottlenecks, and make better-informed decisions. For all the time and resources organizations invest in new software, they often experience a similar challenge ­­­– a resistance to change from within. PMO Delivery Lead, Global Telecom Leader.

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Artificial Intelligence and Project Management: The First Step

The IIL Blog

It is able to (with proper prompting) write poetry, generate code, plan vacations, translate languages and do much more. AI enables predictions that are more accurate than traditional software solutions in determining risk responses, probabilities, and their impact. Risk Management. Effective risk management has to be proactive.

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Expert Advice on Smarter Work Management: How Businesses Can Stay Agile in 2025

NimbleWork

Non-software teams are going agile , too, and thriving on productivity. In this article, youll learn how to become more agile in an innovative way and improve work management. Just compare the reaction times among telecom operators depending on their agility levels amid the pandemic. And FinallyStop Multitasking!

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