Design thinking has evolved as a powerful tool in the arsenal of businesses, educators, and innovators globally. This approach to problem-solving is deeply rooted in a human-centered design (HCD) framework, which emphasizes understanding and addressing the needs, desires, and limitations
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The Cost of Chasing Unicorns: Lessons from the Product Bubble
The recent Product Bubble saw venture capital investments soar from $45 billion to an astounding $620 billion. Investors were captivated by the allure of unicorns—startups valued at over $1 billion—creating a wave of speculation that nearly equaled the
Navigating Complexity: The GE-McKinsey Nine-Box Matrix
The proliferation of multibusiness corporations in the 20th century posed unprecedented challenges to effective strategic management, particularly with regard to resource allocation across diverse business units. As companies expanded and diversified, they required robust frameworks to evaluate and prioritize investments
From Physics to Machine Learning: A Nobel Prize Worthy Journey
The 2024 Nobel Prize in Physics has been awarded to two visionaries whose work laid the foundation for the development of modern artificial neural networks (ANNs). John J. Hopfield and Geoffrey E. Hinton have made groundbreaking contributions that helped transform
Responsible AI: Adopting Microsoft's Framework for Ethical AI Use in Machine Learning Projects
Artificial Intelligence (AI) holds immense potential to improve lives, drive efficiency, and offer solutions to some of society's biggest challenges. But with great power comes great responsibility. As AI systems are increasingly integrated into our daily lives, the
Data Driven Process Optimisation - Open research Challenges
Modern organizations routinely deploy process analytics, including process discovery and variant analysis techniques, both to gain insight into the reality of their operational processes and also to identify process improvement opportunities. Process analytic approaches play a critical role in supporting
On Curse of Dimensionality
In this post, I will be sharing my understanding of feature selection process: In Theory feature selection can help in reducing the dimensionality, leading to simpler models that are easier to understand and interpret. Models with large number of features
Generative AI and Future of HealthCare
In this article, we investigate the potential that AI offers for improving healthcare delivery. AI-Guided Treatment Policies: Deaths due to medical error in the U.S. is a significant problem. Generative AI models could assist healthcare providers in seeing potential