Empowering Growth, Building Impact:
a blog about Digital Transformation Leadership.
-
Regenerative Intelligence: Beyond Transformation, Towards Co-evolution
Regenerative Intelligence is not just another management methodology. It is a new philosophy of leadership. It calls on us to shift from being mechanics of complex machines to becoming architects and gardeners of living systems. It requires courage, vision, and a deep understanding of human and systemic dynamics. But for organizations that want to not…
-
AI and the Cultural Mosaic: Why the Future of Artificial Intelligence Depends on Us (and Our History)
For a truly responsible and inclusive AI future, we need to go beyond just one ethical framework. We must have ongoing cross-cultural talks, working to understand and bring together different philosophical views.
-
A new paradigm: What is Regenerative Intelligence and Why It Matters Today
Regenerative Intelligence is an approach that combines advanced technologies with deeply rooted human values. It focuses on regenerating systems—not just innovating—to create a world where technology, people, and the planet coexist in harmony. By integrating diverse intelligences, Regenerative Intelligence aims to address global challenges holistically and sustainably.
-
Italy and Digital Adoption: A Structured Analysis to Understand the Gap and Future Prospects
From the analysis, it clearly emerges that Italy needs a cohesive, long-term strategy that unites institutions, educational entities, and companies under a common vision. Each of us, based on our own skills and responsibilities, should feel motivated to contribute in an effort to bridge the current gap and ensure a future where Italy can not…
-
Why Open-Source Models Excel in Retrieval: A Clear Perspective in retrieval augmented generation (RAG)
While proprietary models remain dominant in general-purpose applications, open-source systems are carving out a leadership role in this critical subdomain of AI. By understanding and leveraging these strengths, businesses and developers can build better retrieval systems, staying ahead in an increasingly competitive AI landscape.
-
Digital Transformation and Kolb: Four Strategic Approaches for Corporate Success in the Digital Era
Digital transformation demands strategic approaches. Companies may adopt assimilative (focused on understanding), adaptive (seizing opportunities), divergent (developing internal capabilities), or convergent (prioritizing rapid execution) strategies. Each approach has unique advantages and risks. Success depends on leadership’s ability to balance innovation, execution, and strategic planning for sustainable growth in the digital era.
-
Contextual Retrieval: An Innovation Empowering Retrieval-Augmented Generation (RAG) Systems
Contextual Retrieval represents an important evolution in information retrieval techniques, enhancing RAG through advanced context management. This innovation, based on the combination of BM25 and contextual embeddings, promises to transform how AI interacts with vast knowledge corpora, significantly improving the accuracy and relevance of responses.
-
An Example of Emotional Intelligence Applied to Conversational AI
EmoLLaMA-chat, as an example of the broader EmoLLMs project, gives us a glimpse of what emotional artificial intelligence can achieve. If used correctly, these models could be powerful tools to improve the relationship between technology and humanity, but they require the right combination of innovation and responsibility.
-
(Step 2) Understanding and Managing Technological Disruption with AI and the TOPFramework
Understanding and managing technological disruption is essential for companies that want to thrive in the digital age. AI, as an example of an evolutionary and disruptive technology, requires a strategic and informed approach. The TOP Framework provides the tools and models necessary to navigate this complex landscape, helping organizations assess their technological readiness, identify opportunities,…
-
(Step 1) Adopting Artificial Intelligence: Differentiated Strategies for Machine Learning and Generative AI
The TOPFramework, by integrating concepts of technology acceptance, innovation diffusion, and innovation ambidexterity, offers a structured and comprehensive approach to adopting both forms of AI.
-
How to Use the TOPFramework for Artificial Intelligence: A Guided Approach
The TOPFramework from TOPForGrowth is designed to help businesses manage the challenges of digital transformation and the adoption of new technologies like Artificial Intelligence (AI). This structured approach addresses the key questions every company should consider when adopting AI. 1. What is Artificial Intelligence, and why is it important to understand its potential and limitations? Artificial…
-
The new genAI generation: A Paradigm Shift in Mindset
Introduction: In the evolution of digital transformation, a pivotal shift is underway. It is not demarcated by generational cohorts nor by the sophistication of one’s specific technological toolkit. It is defined by a mindset—a genAI mindset—that is agnostic of age and native digital fluency. The Essence of the genAI Mindset: Perpetual Curiosity: The genAI mindset is characterized…
Would you like to be notified of new blog posts?
TOPFramework.Org 