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Embracing the Future: Fractional Executives and Generative AI

Tullio Siragusa

Embracing the Future: Fractional Executives and Generative AI The concept of fractional executives has emerged as a game-changer for companies of all sizes. The rise of Generative Artificial Intelligence (AI) has further empowered fractional executives, enabling them to produce full-time results in significantly less time.

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Innovation on Steroids: Next Generation AI-Powered Phases and Gates

Leapfrogging

From its inception to the current state, the processes governing the development of new products and services have continuously evolved to incorporate new methodologies and technologies. AI technologies bring a new dimension of analytical capabilities and insights that were previously unattainable.

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HUMAN CREATIVITY AND CREATIVE PROBLEM-SOLVING WITH GENERATIVE AI

ImagineNation

A recent McKinsey Leading Off – Essentials for leaders and those they lead email newsletter, referred to an article “The organization of the future: Enabled by gen AI, driven by people” which stated that digitization, automation, and AI will reshape whole industries and every enterprise.

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GenAI Can Help Small Companies Level the Playing Field

Harvard Business Review

Generative AI has the potential to close content, insight, and technology gaps that large corporations typically have over their smaller counterparts. This shift presents a unique opportunity for SMEs, whose inherent agility gives them an edge in adopting and innovating with AI.

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How to Train Generative AI Using Your Company’s Data

Harvard Business Review

Organizational innovation is fueled through effective and agile creation, management, application, recombination, and deployment of knowledge assets and know-how. Leveraging a company’s proprietary knowledge is critical to its ability to compete and innovate, especially in today’s volatile environment.

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Unleashing the Power of AI in Innovation Management

Leapfrogging

AI technologies offer unprecedented capabilities in data analysis, pattern recognition, and predictive modeling, which can significantly enhance the efficacy of the Stages and Gates process. AI technologies include machine learning, natural language processing, robotics, and computer vision.

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Embrace AI-driven innovation, it is the future.

Paul Hobcraft

In a really fascinating routine or guide to how Generative AI developed, then you should read Bernard Marr’s post It is well worth the read. As he points out, “Today, Generative AI stands as a testament to the power of human imagination and technological innovation.

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