WOC 2024 is about YOUR Customers, and how you can help them. This year marks the 50th anniversary of World of Concrete, an event that often has seen crowds of more than 50,000 attendees—mostly contractors. For producers, it’s an opportunity to feel the pulse of the industry, including current trends and what’s to come. This year’s event offers new ways…
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Producers’ Choice
Integration of data AND business process empower freedom of choice in a concrete technology ecosystem. The Walt Disney Co. is a world champion of vertical capture. The company’s theme parks offer families a complete package of entertainment, dining and lodging. Yet in Orlando, Fla., many visitors choose to complement or even skip Disney World for other cool things like Comcast’s…
Read MoreHeidelbergCement invests in AI-mated maturity sensor technology
Lehigh Hanson Inc. parent HeidelbergCement AG has taken a strategic minority stake in Ottawa-based Giatec, whose proprietary sensors equip producers and their customers to monitor concrete maturity in real time. Combined with artificial intelligence algorithms configured to integrate with a wide range of concrete industry software solutions, the sensor data augments cement optimization, quality control, and formwork operations. “Our investment…
Read MoreHeidelbergCement invests in maturity sensor technology developer
Sources: HeidelbergCement AG, Germany; CP staff Lehigh Hanson Inc. parent HeidelbergCement has taken a strategic minority stake in Ottawa-based Giatec, whose proprietary sensors equip producers and their customers to monitor concrete maturity in real time. Combined with artificial intelligence algorithms, configured to integrate with a wide range of concrete industry software solutions, the sensor data informs cement optimization, quality control,…
Read MoreReady mixed producers assist artificial intelligence-fed quality control
Sources: Giatec Scientific Inc., Ottawa; CP staff
Central Concrete Supply Co. of California, Maschmeyer Concrete Company of Florida and Stoneway Concrete of Seattle have provided mix data used to train an artificial intelligence program, Roxi, to detect possible errors in batch proportions and slab or structure maturity calibrations.
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