2018 was also the banner year for Industry 4.0. The integration of IoT (Internet of Things) sensors into manufacturing equipment created a flood of operational data. Neodata platforms were essential here, sifting through the noise to identify signals of equipment failure before they happened. Predictive maintenance moved from a pilot program to a best practice, saving billions in downtime costs globally.
In the harsh light of 2025 (and beyond), stands as a beautiful corpse. It was a product that was two years too early and six months too late. It solved engineering problems that pure cloud SaaS providers would solve more elegantly later. neodata 2018
Four parallel tracks covered:
By late 2019, the bloom was off the rose. Several factors converged to kill the momentum of : 2018 was also the banner year for Industry 4
marked a pivotal edition of the annual symposium dedicated to the frontiers of data science, big data analytics, and artificial intelligence. Held in [Insert City/Venue if known, e.g., Milan, Italy ] from [Insert specific dates if known, otherwise: mid-November 2018] , the event brought together over 600 professionals , including data engineers, CTOs, academic researchers, and business strategists. Predictive maintenance moved from a pilot program to
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