Our Insights
Our Insights reflect how we think, research, and engage with complex topics.
They span publications, articles, podcasts, and applied research—shared openly and with intent.
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Forbes Technology Council : Data Monetization Strategies
“Data is a precious thing and will last longer than the systems themselves,” is more pertinent than ever as AI advancements heighten the demand for quality data to drive business innovations.
Data Excellence: Transforming manufacturing and supply systems
Data and analytics drive value through increased productivity, enhanced customer experience and a positive impact on society and the environment.
CIO : The CIO and CHRO – At the intersection of driving human and robot co-existence
Are humans the only resources that organizations need to be concerned about?
How to overcome obstacles to digital business transformation
Digital transformation stalls when leaders focus on improving existing business practices rather than rethinking them entirely.
Generating Momentum in Digital Business Transformations
Springer : Predictive Data Analysis for Energy Management of a Smart Factory Leading to Sustainability
Digitainability | TEDxSRMKattankulathur
Enterprise IT : Visiting the Smart Factory with Milan Kumar
EIT Manufacturing : Achieving Net-Zero value chains for sustainable manufacturing business models
The commitment to fostering a more sustainable manufacturing industry has become paramount.
Fostering the digital roots of European automobile revolution
The technology world is seeing an evolving relationship between the IT solution.
TEDx – Virtual off-stage events | AI-Enabled Digitainability
Mr Milan Kumar is an author. He is the CIO member of “ Forbes Technology Council” and contributor of “World Economic Forum”.
Industry 4.0 revolution in Europe
The automobile digital revolution in Europe has set a new trend in the automobile industry across the world.
World Manufacturing Foundation/ Forum – Achieving Net-Zero value chains for sustainable manufacturing business models
Watch the interview with Dr Milan Kumar as he responds to the key messages raised at the 2023 World Manufacturing Forum.
CIO Insider : Digitalizing Legacy IT
Milan has an excellent exposure to Onsite-Nearshore – Offshore working models and has managed multiple transitions of large sized projects in multicultural environments.
Springer : Predictive Data Analysis for Energy Management of a Smart Factory Leading to Sustainability
EIT Manufacturing : Achieving Net-Zero value chains for sustainable manufacturing business models
World Manufacturing Foundation/ Forum – Achieving Net-Zero value chains for sustainable manufacturing business models
Chefsache Business Transformation
Datenökonomie durch Demokratisierung und Monetarisierung
Das Kumar-de-Brabandt-Modell bietet ein umfassendes Rahmenwerk für Organisationen, die eine KI-gesteuerte Geschäftstransformation anstreben.
AI-Driven Business Transformation: Data Economy through Democratization and Monetization
This book introduces the Kumar–de Brabandt AI Data Economy Model, a robust framework designed for organizations embarking on AI-driven business transformation.
CIO Series Smart Factory
The CIO Series focused on “Smart factory” concept is based on certain core ideas that make my book different from others: Human-centered yet automated manufacturing, Open Value Chain
Machine Learning for Robotics Applications
Machine learning has become one of the most prevalent topics in recent years. The application of machine learning we see today is a tip of the iceberg. The machine learning
Advance in Applications of Data-Driven Computing
This book aims to foster machine and deep learning approaches to data-driven applications, in which data governs the behaviour of applications. Applications of Artificial intelligence (AI)-based systems play a significant role
AI and IOT in Renewable Energy
This book presents the latest research on applications of artificial intelligence and the Internet of Things in renewable energy systems. Advanced renewable energy systems must necessarily involve the latest technology like artificial intelligence and Internet of Things to develop
Artificial Intelligence for Future Generation Robotics
Artificial Intelligence for Future Generation Robotics offers a vision for potential future robotics applications for AI technologies. Each chapter includes theory and mathematics to stimulate novel research directions based on the state-of-the-art in AI and smart robotics
Applications of AI and IOT in Renewable Energy
Applications of AI and IOT in Renewable Energy provides a future vision of unexplored areas and applications for Artificial Intelligence and Internet of Things in sustainable energy systems. The ideas presented in this book are backed up by original, unpublished technical research results covering topics like smart solar energy systems
AI and IoT for Smart City Applications
This book provides a valuable combination of relevant research works on developing smart city ecosystem from the artificial intelligence (AI) and Internet of things (IoT) perspective. The technical research works presented here are focused on
Springer : Predictive Data Analysis for Energy Management of a Smart Factory Leading to Sustainability
EIT Manufacturing : Achieving Net-Zero value chains for sustainable manufacturing business models
World Manufacturing Foundation/ Forum – Achieving Net-Zero value chains for sustainable manufacturing business models
Explainable Machine Learning for Drug Classification. Springer, Singapore
Empowering Elderly Safety: 1D-CNN and IoT-Enabled Fall Detection System. Springer, Singapore
Security in Cloud Computing Using Blockchain: A Comprehensive Survey. Springer, Singapore.
Emotion Recognition: A New Tool for Healthcare Using Deep Learning Algorithms. Springer, Singapore.
Experimental Analysis for Distance Estimation Using RSSI in Industry 4. Springer, Singapore.
A Blockchain-Based Approach to Improve Data Integrity in Federated Cloud Environment. Springer, Singapore.
Emotion Recognition: A New Tool for Healthcare Using Deep Learning Algorithms. Springer, Singapore.
Human Activity Recognition for Disease Detection Using Machine Learning Techniques—A Comparative Study. Springer, Singapore.
IoT in renewable energy generation for conservation of energy using artificial intelligence,
Springer : Predictive Data Analysis for Energy Management of a Smart Factory Leading to Sustainability
EIT Manufacturing : Achieving Net-Zero value chains for sustainable manufacturing business models