Gartner for Supply Chain’s Post

Smart robots will outnumber frontline workers in manufacturing, retail and logistics. Explore the benefits of AI in supply chain, prioritize high-impact use cases and mitigate risks to implementation: https://gtnr.it/4eqkoox #GartnerSC #GenAI #CSCO #AI

Smart robots will outnumber frontline workers in manufacturing, retail and logistics. Explore the benefits of AI in supply chain, prioritize high-impact use cases and mitigate risks to implementation: https://gtnr.it/3MJbQfy #GartnerSC #GenAI #CSCO #AI

Smart robots will outnumber frontline workers in manufacturing, retail and logistics. Explore the benefits of AI in supply chain, prioritize high-impact use cases and mitigate risks to implementation: https://gtnr.it/4bh1a2h #GartnerSC #GenAI #CSCO #AI

How will artificial intelligence impact the automotive industry value chain? Technology like robotics and automation could fundamentally change the way automakers operate—and we're not just talking about manufacturing. Consider how AI can enhance the in-vehicle consumer experience, like smart route optimization that leverages real-time traffic pattern analysis. If you missed the May update, take a look at the full article on Alvarez & Marsal: https://okt.to/W5SC8P #Automotive #AI #ArtificialIntelligence #Innovation

#AI finds reason to tap industry data lakes in the latest 2025 predictions.➡️ https://nvda.ws/3ZmLNSz Hear from our experts who predict a rise in intelligent stores, a new class of robots and breakthroughs in industries globally.💡

NVIDIA AI If you were NOT able to do by yourself, then you must buy. Do you or any of your contacts need our expertise and intellectual property (IP), a copyrighted Chinese-English multilingual metadata, to do the data analysis that AI can't do? NO one in the world can change the fact that we need menu to order our food at a restaurant. A five-year-old kid knows this. Similarly, we need metadata to search/retrieve the right data for data analytics. Metadata is a copyrighted content, NOT technology. It enables data analytics. Without metadata, NO data can be found/retrieved, even by the most advanced technologies, like AI. https://lnkd.in/g-aJFnXR Let's try the following go/no-go test to see if AI works without metadata, and then, at what cost. Is there any data solution, AI or NOT, that can answer the following questions of business intelligence? "How many entities, in the Ontario province of Canada or in the "江蘇" province of China, have new US patents granted on the nearest Tuesday (Eastern Time), when the USPTO releases the newly granted US patents on a weekly basis?" With our intellectual property (IP), a Chinese-English multilingual metadata, we can answer, even by an ordinary laptop.

EDGE & AI are enabling significant value in our personal lives - we are getting used to smarter fridges, smarter entertainment systems, safety door cameras, and digital assistants controlling lighting, ordering groceries, informing bus timings in real time etc. We can afford these benefits in our personal lives - why can’t our friends in field operations enjoy the same! Join me for a conversation around value addition using #AI driven applications at the #Edge. Let’s have a virtual coffee together on how #SLB has delivered measurable & meaningful value in #production #operations through these technology building blocks.

Have you ever imagined a well with a brain of its own? It knows how to stay at the optimum production level without any human intervention, making it possible to stay on top of their game. Dubbed as "Intelligent Operation", this new way of working help reduce HSE exposure, optimize field production and ultimately reduce Scope 1 emission from routine trip to the well. Hear from our Head of Product Garud Sridhar, and see how you can implement this in your field. Stay tuned! #WeAreSLB #edge #AI

Overall, robotics and AI hold immense potential for improving the future of warehouses, yet before committing significant resources to either technology, companies should undertake a thorough assessment of their warehouse operations. https://lnkd.in/e4NThGzz #WarehouseAutomation #AI #WarehouseManagement

AI in manufacturing is not just about robots replacing humans in repetitive or dangerous tasks - it’s about rethinking how we approach quality control. For example, BMW uses AI-powered deep learning models to analyze real-time data and check whether all parts are correctly mounted during production. The result? Faster inspections, reduced waste, and consistently high-quality products. By catching even minor defects that humans might miss, AI ensures that every product meets strict standards before reaching consumers. It’s not just about efficiency - it’s about building trust in your brand. What’s your take - how far can AI push the boundaries of manufacturing quality control? #ai #manufacturing #qualitycontrol #automation #innovation