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Research and practitioner perspectives at the intersection of artificial intelligence, digital transformation, education, and project leadership.
Timely, source-rich analysis of AI innovation, strategy, operations, governance, leadership, and transformation.
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As we navigate the digital frontier, the intersection of Agile methodologies and artificial intelligence (AI) emerges as a transformative force in project management. According to a study conducted by Accenture and...
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As artificial intelligence continues to evolve and permeate various sectors, its impact on education, particularly online learning, is profound. While AI offers tremendous potential to personalize learning and...
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Generative AI, a subset of artificial intelligence, is not just another tool. It's a game changer for small businesses, empowering leaders like you to take control of your business operations. Unlike traditional AI,...
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In the 1950s, the term "Artificial Intelligence" was first used to refer to using computers to solve problems by simulating human decision-making processes. More than Seventy years later, artificial intelligence (AI)...
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As AI systems become integral to project risk management, they introduce new ethical challenges that must be addressed to maintain trust and integrity in decision-making (Guan et al., 2022). Ethical dilemmas in...
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Over the next 12 months, I will embark on a journey of writing articles on the influences of artificial intelligence (AI) on project management and digital transformation strategy. I will focus on the core topics...
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A video overview of Dr. Gates' doctoral research on why digital transformations fall short and the strategic traits associated with successful transformation.
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These articles collectively provide a comprehensive understanding of how AI can transform risk management from reactive to proactive, empowering project leaders with the tools to foresee and mitigate risks...
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The cornerstone of effective AI-driven risk management is high-quality data. AI models, especially those employed for risk probability and impact assessments, rely extensively on data to learn and make predictions....
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In the rapidly evolving landscape of AI, continuous improvement and evolution of models are paramount. AI models must adapt to new data and changing conditions to remain effective and accurate in predicting risks and...
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The integration of Artificial Intelligence (AI) into project management represents a paradigm shift, transforming risk management from a reactive to a proactive strategy. This guide, built on over 20 years of...
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Artificial Intelligence (AI) algorithms are often intricate and complex, making it challenging to predict their behavior. This complexity arises from these algorithms' nonlinear and high-dimensional nature, which can...
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AI has been used for large-scale data analysis and research for the past decade. But now, companies have started using AI to aid in better decision-making. Generative AI is rapidly being adopted by savvy companies...
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The use of generative AI marks a transformative leap in the intersection of innovation and technology in project management. The difference between success and failure in 2024 for practitioners and businesses will be...
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Timely perspectives on artificial intelligence, academic leadership, assessment, and the future of business education. New LinkedIn articles will be added to this collection.
Why the way academia approaches AI in education may determine how effectively tomorrow’s business leaders are prepared to compete.
Read on LinkedIn ↗A perspective on grading consistency, rubric fidelity, institutional trust, and the role of assessment intelligence infrastructure.
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