The below is a summary of my podcast interview with Cory Doctorow on the future of privacy. When privacy becomes just another line on a balance sheet, how long before trust-and customers-vanish with it? On the Synthetic Minds podcast, Cory Doctorow offers a stark warning: privacy, once considered a right, is now treated as a commodity by tech giants. Doctorow reveals how … [Read more...] about Privacy on Borrowed Time: Lessons from Cory Doctorow
Artificial Intelligence
Data Innovation Summit 2025
The Data Innovation Summit is the largest and most influential annual Data and AI event in the Nordics and beyond, bringing together the most innovative minds, enterprise practitioners, technology providers, start-up innovators and academics, working with Applied Data Innovation, Data Science, Big Data, ML, Applied AI, Generative AI, Data Management, Data Engineering, … [Read more...] about Data Innovation Summit 2025
How AI May Finally Fix Some Major Existential Business Problems
Starting and running a business is no easy feat. It requires founders to take on roles beyond their comfort zones and specialties. There's no way around that with limited funding and even more limited workforces. As a result, most new ventures face a common set of challenges and stumbling blocks soon after launch. Invariably, many relate to various aspects of finance … [Read more...] about How AI May Finally Fix Some Major Existential Business Problems
Agentic AI: The Dawn of Autonomous Organizations and the End of Human Oversight
The below is a summary of my recent article on Agentic AI.AI is no longer just following orders-it's making its own decisions. Are organizations ready to be run by machines?Agentic AI is here, and it's rewriting the rulebook for how organizations operate. Agentic AI is more than just the next big technological trend; it's the dawn of a new era where artificial intelligence … [Read more...] about Agentic AI: The Dawn of Autonomous Organizations and the End of Human Oversight
Importance of Probabilistic Models in Machine Learning
Probabilistic models enable for the expression of uncertainty by making them particularly compatible for real-world applications where data is frequently noisy and incomplete. Additionally, these models are updated as new data becomes available that is highly useful in many dynamic and developing systems. The probabilistic framework outlines the approach for representing and … [Read more...] about Importance of Probabilistic Models in Machine Learning
