G.M.S.C. Consulting

We must move past the AI hype by putting humans center-stage in AI adoption. This morning, our CEO & Lead Algorithm Engineer Gabriele Minucci shared his thoughts on adopting human-centric artificial intelligence solutions in the AEC sector at SAIE - ICMQ's panel session. If you want to learn more about our core philosophy and what AI can do for the #construction sector, send us a message! #civilengineering #BIM #artificialintelligence #maketechmorehuman

We're kicking off at SAIE Bologna with a bang. Come to booth A38, Hall 25, to try our live demo of our AI virtual assistant for the MIDAS software suite and learn more about how it works. #catenaryai #gmscconsulting #civilengineering #artificialintelligence #virtualassistant

The countdown begins! Catch us at SAIE Bologna this week and test our virtual assistant demo for CSPFea's MIDAS software suite! Our CEO & Lead Algorithm Engineer Gabriele Minucci will be there to tell you more about our latest #AI product built by engineers ... for engineers! #virtualassistant #gmscconsulting #catenaryAI ⬇More details in IT below ⬇

Find out how an #AI virtual assistant works in the #civilengineering sector! Next week we'll be doing a live demo of our latest AI product called Catenary. It will be powering the virtual assistant for the MIDAS software suite. This virtual assistant application was built in cooperation with CSPFea, the supplier of MIDAS. Don't miss out on our live demo at booth A38, Hall 25 at SAIE Bologna (9-12 October). In the meantime, you can learn more about Catenary by following the link in the comments section. #virtualassistant #catenaryai #artificialintelligence

It's been over a year or two since the #generativeAI hype. This led to an explosion of chatbots, and AI-generated content. While many went bonkers about adopting AI into their business models, sectors like architecture, construction, and engineering (ACE) aren't very keen on doing so. But why is that so? To get their job done, architects and engineers need to have an AI system that is trustworthy, reliable, and secure, to name a few. So far, the latest LLMs are getting a bad rep for being unreliable. Let us know in the comments on how we can make LLM-powered virtual assistants, or generative AI products more trustworthy and reliable. #explainableAI #trustworthyAI #artificialintelligence #virtualassistant

How do we make tech more human? Our CEO and Lead Algorithm Engineer Gabriele Minucci will once again share our philosophy and his knowledge on making AI more human-centric in Bologna's SAIE...by showcasing our latest AI product called #CatenaryAI. It uses #generativeAI models and will study and categorize the documentation within the MIDAS software suite like a human expert. But how is this possible? What about hallucinations? Stay tuned as we tell you more about it! #artificialintelligence #civilengineering #virtualassistant

We've heard about AI in marketing, but what about AI in construction? To help you out, we've made a short list of possible AI applications in the ACE (architecture, construction & engineering) sector. These include: 🔹 Monitoring remotely construction sites 🔹Automating the planning and scheduling of the construction process 🔹Optimizing the collaborative process between stakeholders If you're working in the ACE sector, let us know whether you consider AI your ally in your existing & future construction projects! #mondaymotivation #construction #artificialintelligence #civilengineering #architecture

Can we move past the AI hype? In two weeks our Lead Algorithm Engineer & CEO Gabriele Minucci will tell us more about the human factor behind AI in #civilengineering during ICMQ's #SAIE2024 BIM community session. Please tune in to our page as we talk more about #artificialintelligence in the world of #construction, #architecture & civil engineering!

MLOps (machine learning operations) automates the ML process together with the help of a feedback loop system. It can be divided into layers, like a layered cake. Some of its layers include experiment tracking, dataset monitoring, qualitative tests and explainability layer. In this episode, we talk to Marek S. Tatara, PhD Tatara, Chief Scientific Officer of DAC.digital as he tells us more about how MLOps works, and their experience in building a customized MLOps for the semiconductor industry under a large cooperative EU-funded project. Listen to our episode if you want to make your ML project more effortless and more reliable at a larger scale. ➡ https://lnkd.in/dbUxmxWc #mlops #machinelearning #artificialintelligence #manufacturing #techpodcast

To adopt AI or not—that is the question many industries have been grappling with 🤔 Tech-savvy decisionmakers may say it’s a no-brainer given global trends but we beg to disagree. Integrating AI into an enterprise’s operations requires a great deal of time, manpower and resources. You want to understand what you’re signing up for—especially if it can influence your business’ performance, employees’ livelihoods and even customers’ well-being. For today’s #throwback feature, let’s revisit our episode on symbolic AI with Abzu Co-founder, Casper Wilstrup. At Abzu, Wilstrup and his team have become the driving force behind symbolic AI’s use in R&D, especially in life sciences and medicine. The technology places a premium on explainability and transparency, which makes it a great fit for fields that have a direct impact on human health 🏥 --- #GMSCconsulting #artificialintelligence #symbolicAI #explainableAI #AIforBusiness #explainability #transparency