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Notes on data, AI, IT and security

No marketing fog. The way I think about real problems with founders and managers.

Robotics

Open-source in robotics: ROS as a faster path to the first prototype

How an open stack lowers the cost of experimentation and shortens the road from idea to a working pilot.

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Data

Raw data layer before data lake: when it makes sense and how to keep it from becoming a swamp

Storing everything in one place is not a strategy. Without catalogs, owners, and metadata you do not get a lake - you get a swamp.

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IT

Backups against ransomware: prepare before it happens

A preventive look at backup discipline, offline copies, and recovery testing - while there is still time to do it calmly.

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Data

Columnar storage and a new pace of analytics: why a months-long data warehouse build is already strange

When analytics can be up and running in days rather than months, both business expectations and the right way to design storage change.

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Security

Remote contractors as a second risk perimeter

External engineers and integrators require just as much access discipline as full-time staff - often more.

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Data

You can no longer store everything: the economics of archives, logs, and history layers

Cheap disk lowers the cost of writing data, but not the cost of searching it, maintaining it, or understanding what is actually inside.

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Data

Predictive maintenance without the hype: start with failure history, not neural networks

Repair logs and the cost of downtime matter more than fashionable algorithms. Why failure data is the real first step.

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IT

OpenStack and private cloud: who gains leverage, and who just sinks in complexity

The real cost of running your own cloud infrastructure is processes, scale, and people - not just hardware.

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Data

Excel as shadow IT: banning it is pointless, rethinking the process is not

Spreadsheets live where corporate systems are too slow or too rigid. Here is what to do about that.

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Data

Data lineage: where the number in the report came from, and who owns it

Tracing metrics back to their source is not a technical nicety - it is the foundation of trust in analytics.

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Data

Text analytics without a silver bullet: where the real value is in reviews and tickets

Why processing customer text starts not with understanding language, but with routing and classifying reasons.

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AI

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.

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