AI is making reality capture faster & smarter by automating tasks like point cloud classification, feature extraction, quality control, and digital twin updates. But while the technology is accelerating workflows, experienced professionals stay essential. https://t.co/YWNYrQsFR6
@BMW is tying up with French AI startup @MistralAI to develop domain-specific AI models trained on the automaker’s proprietary engineering data, in an arrangement the companies are describing as a step toward so-called Large Industry Models (LIMs). https://t.co/aC5bm1LaqK
Wiliot announced an expanded collaboration with AT&T to scale the deployment and operation of its Physical AI platform across enterprise supply chain environments. https://t.co/Iqt7IRNCkC
O&G companies are moving beyond AI experimentation & focusing on structured, phased deployments that improve maintenance, inspections, monitoring & more. @Capgemini says the organizations seeing the greatest value are treating AI as a long-term capability. https://t.co/qiPCvWvXyB
🤖 According to Nic Gould, the future of industrial AI isn't just smarter models, but the "agent harness" that governs what AI can see, access & do. In industrial environments, trust depends as much on controls & validation as intelligence itself. https://t.co/VkTtvG9XVi
@RystadEnergy estimates AI and digitalization could generate nearly $500 billion in cumulative value for upstream oil and gas companies between 2026 and 2030 through lower costs, higher production, and faster project development. https://t.co/OdWPcv52ZP
AI in energy is no longer stuck in the “does this work?” phase. The challenge is figuring out how to scale AI beyond pilots & turn it into measurable business value through better metrics, executive alignment, trusted workflows & deployment strategies. https://t.co/g6FnJZHoq4
@siemensindustry recently introduced the Eigen Engineering Agent, a new class of industrial AI built for automation engineering. Unlike AI tools that just generate suggestions, it carries out engineering tasks end-to-end inside real automation environments.https://t.co/l6G7ILKAh2
As AI becomes more embedded in refinery operations, H Gilligan Consulting says companies must govern it like any other operational risk. Clear ownership, oversight & accountability are key to preventing “Shadow AI” & keeping ops safe & consistent. 🤖🏭 https://t.co/80LkDS6Qpk
👷 Construction may be ancient, but many companies still run on paper, spreadsheets, and disconnected systems.@PalantirTech & Thomas Cavanagh Construction are exploring how AI can connect workflows & rebuild construction operations from the ground up. 🚧🤖https://t.co/u4lzqcIuhM
Houston-based @collide_ai is bringing AI to energy from the inside out. Founded by former oil roughneck Collin McLelland, the company’s AI-native platform delivers accurate, cited oilfield insights by pulling from trusted operational data sources. https://t.co/F79xdZIRwH
New developments in AI and technology are helping @exxonmobil interpret seismic data from Guyana in days, rather than months, John Ardill, the company's vice president of exploration recently announced. https://t.co/BNm5ypUl34
Matt Alberts highlighted how @ABBgroupnews, @nvidia, and @Microsoft Azure are helping push digital twins into a new era of immersive, physically accurate industrial environments. https://t.co/SWacu2HRHd
The autonomous Shuanglin K7 mining truck is showing that embodied AI isn’t just about humanoid robots, it’s coming for heavy industry too. The 110-ton, driverless machine can rotate in place, crab-walk sideways, and operate 24/7. https://t.co/HIycILB3W0
O&G is splitting into two AI camps: incrementalists improving workflows & revolutionaries rebuilding operations around AI. The catch? AI gets smarter w/use, meaning early adopters may build a compounding advantage that fast followers can’t easily catch.
https://t.co/gv6vrWBDTE
@Microsoft is announcing an AI for nuclear collaboration with @nvidia, to provide end-to-end tools that streamline permitting, accelerate design, and optimize operations across the industry. https://t.co/k2cad5YNPV
⌛ Advanced pricing for @indAINexus Summit ends Friday. After that, prices go up by $300! If you’ve been waiting to register stop hovering & lock in now. Don’t wait until the price jump spikes faster than an AI data pipeline under pressure. Register! 👇
https://t.co/pqEEQB75dX
Industrial AI is finally getting organized into clearer lanes. 🤖
@arc_advisory’s new framework cuts through vendor chaos by ranking AI applications based on real operational impact. The result: six distinct Industrial AI archetypes are starting to emerge.
https://t.co/05JfBfxtvD
Winning in heavy industry AI is about showing, not telling. Once teams see real ROI and contextual insights in action, the question shifts from “does it work?” to “how fast can we scale it?” https://t.co/qIxMgoeUwm
Recent filings from Berkshire Hathaway, Chubb, Travelers, and W. R. Berkley show AI-related claims getting carved out of standard policies. For industrial ops, AI risk is shifting from insured to something you have to manage through governance & contracts. https://t.co/bV7OmrErvm