All flows

Feb 6, 2024

In essence, what is the disruptive nature of AI? Why it has been taking so long for the new AI systems to be widespread? What are the key challenges and success factors for building AI systems?

Jan 19, 2024

Is it time to adapt and think differently? In this article, I discuss how industrial companies can take advantage of the current geopolitical dynamics and investment waves to become future-ready and stay ahead of competitors

Nov 10, 2023

Deep neural networks (DNNs) like the one behind ChatGPT are based on machine learning models that require vast amounts of energy and are usually confined to large data centers. That is motivating the development of new computing paradigms. Using light rather than electrons to run DNN computations has the potential to break through the current bottlenecks.

Nov 10, 2023

AI and machine learning are only as smart as the people behind them. Don’t just entrust your career development to your employer. It is a very personal thing, and you should have an active role in yours because you are the one who should benefit from such a plan, not anyone else.

Nov 9, 2023

How did successful companies apply their Hedgehog Concepts in their enterprise-scale technology implementations? Let’s discuss the one big thing I learned from my experience partnering with business leaders to deploy technology platforms for sustainable business growth.

Nov 9, 2023

Here, you will find observations, analyses, and reflections on modern-day events, facts, and daily acts of the quotidian life that cross my pathway.

Nov 9, 2023

Leading multicultural and geographically dispersed teams, I learned it’s not about being right or wrong, good or bad. It’s about understanding how culture and language shape how people from different cultures think, act, react, and do business.