Honeywell’s Post

insightful article on the game-changing impact of Generative AI in telecom! From boosting customer experience to automating network operations .

Gen AI Implication for Telecom Operators A few months ago, we published the attached white paper, covering a tremendous number of topics on #GenAI to solve a few hairy telecom industry problems. Enjoy the reading. #BellLabsConsulting #genAI #automation #autonomousnetworks

Telco operations can highly benefit from GenAI. It's not just about taking costs out of operations. For many, it's about improved quality, productivity, efficiency and effectiveness that GenAI affords amidst the complexity of a multi-domain, multi-technologies, multi-vendor network.

Great article, also topical with regards to the current digital transformation trend from manual/assisted/conditional (Autonomy levels 0…3 in TM Forum terminology) to level 4 (high autonomy) or even 5 (full autonomy) at many CSP’s. My 2 cents: Reasonable AI method varies depending on use case. E.g. for topic close to my heart, i.e. automated / autonomous deployment related use cases touching to network elements (NE) configuration management fragment, GenAI based methods (telco trained LLM) might not be reasonable, because manipulation of NE configuration hierarchy requires “under the hood level” vendor product knowledge. Perhaps the exception would be if NE vendors provide “proprietary” SLM (small language model) based solutions that are adaptable into CSP use case environment, otherwise reaching Level 4/5 autonomy might require traditional AI supervised or unsupervised methods – yet requiring deep vendor specific competences. A tip: Talent with strong RAN automation experience and recent AI studies might be available on hire 😉.

A new era of industrial innovation! 🚀 With all eyes on AI at #WEF24, I am still excited about Siemens and Microsoft’s recent, game-changing innovation in Siemens Industrial Copilot—an AI-powered assistant allowing users to rapidly generate, optimize and debug complex automation code, and significantly shorten simulation times. This collaboration is revolutionizing manufacturing and extending its impact across various industries. Read the article about this partnership and get more insights here: https://sie.ag/6Fe2th

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Operational efficiency is in the spotlight like never before. With operators striking the balance between meeting ambitious ESG targets and keeping shareholders happy – productivity and profitability are coming under increasing scrutiny. Our unrivalled end-to-end portfolio of AI and machine learning powered Artificial Lift solutions have been engineered to maximize your margins – increasing efficiency, improving responsiveness and maintaining uptime. Every step along the way. Watch our short video to discover how the new era of Intelligent Action can help you raise your Artificial Lift game: https://loom.ly/NV4mjac Including: + INSTRUCT Variable Speed Drive + QRATE HCC2 hyperconverged controller + INSTRUCT POWER Analyzer 2.0 + INSTRUCT Ai Event Recovery + Avalon Lift Surveillance SLB Rockwell Automation Swinton Technology #OilGas #ArtificialIntelligence #MachineLearning

It's true! Labor-intensive procedures in A/R can be transformed into seamless, efficient processes with the power of AI and robotic process automation (RPA). Join us to learn how these technologies can significantly reduce repetitive tasks, freeing up your team to focus on strategic activities. Fri 9/6, 1 pm ET https://ow.ly/ffjb50TbH2F

🚀 Exciting News! Unleash live's Automated Valve Detection #AIApp is now live on the Siemens Xcelerator marketplace. This cutting-edge solution utilizes your plant's existing cameras to monitor valve status at set intervals, triggering alerts based on predefined rules. Ensure operational efficiency and stay ahead of potential issues with this powerful tool! Check it out and explore more about how AI can optimize your operations - https://hubs.ly/Q02Qn7rX0 #AI #Automation #SiemensXcelerator #DigitalTransformation #automatedvalvemonitoring #computervision #videoanalytics #plantmonitoring