Notes on data, AI, IT
and security
No marketing fog. The way I think about real problems with founders and managers.
Text analysis becomes practical: what it means for business
Natural language processing tools have reached the point where they can be used without a research lab. What to do with that.
Machine learning for mid-size business: what is real, what is not
An honest look at which problems machine learning actually solves for companies without research labs, and which ones remain academic.
ML in fraud detection: where AI saves money and where it only complicates the investigation
A look at the decision loop and the explainability problem in machine-learning-based anti-fraud systems.
Model quality vs data freshness: what matters more in applied analytics
In most real tasks, the winner is not a smarter model but a better-managed operational loop that keeps data current.
Reinforcement learning and Atari: not about games, but about a class of problems
Why DeepMind's results on a games console matter not for entertainment, but as a signal about a whole class of optimization problems in business.
Human in the loop: why automated decisions increasingly need a person nearby
The higher the risk of a decision, the more important deliberate semi-automation becomes. Full system autonomy and full manual control are both losing strategies.
word2vec and the new semantics of search: why text collections will soon think in proximity
Vector word representations open a new level of search, matching, and recommendations. What this means for companies that hold large text collections.
A forecast: if interfaces become conversational, familiar IT services will disappear from the surface
When knowledge, search, and processes are connected in advance, the systems that win will not be the ones with the best UI - they will be the ones with internal coherence.
If the computer vision breakthrough holds, factories will see their own processes for the first time
A forward-looking take on how affordable cameras and machine vision will change quality inspection, warehousing, and operator interfaces on the factory floor.
After AlexNet: computer vision stops being an academic subject
How the ImageNet 2012 results change the conversation about computer vision in industrial quality control and safety.
Voice versus search: what Siri teaches corporate knowledge bases
Users want an answer, not navigation through menus. Why voice interfaces are changing the requirements for internal knowledge systems.
Machine vision for quality control: where it can work today
Not magic and not the future - specific tasks on a production line with clear defect economics and measurable outcomes.