Amygda AI

Having an AI-based aircraft predictive maintenance system is like having 1000s of engineers looking at data. Rule-based systems are commonplace in predictive maintenance understanding - they perform well in well-understood situations. AI comes in to cover the knowledge gaps in rule-based systems: - alerts are generated from the source of truth - it constantly learns from your operation, leading to better forecasts - addresses the skill shortage in aerospace and MRO Read the blog post in full: https://lnkd.in/eAVZ7v7E Do you think that AI will replace rule-based systems or complement them?

Airlines can unlock and utilise hidden maintenance data with AI for efficiency improvements, better decision-making and operational performance. Benefits: - Automate manual processes - Free up valuable technician time - Real-time insights and knowledge management Amygda's Maintenance AI Assistant is available for testing on the cloud or securely without using ChatGPT models. Read more in our latest blog: https://lnkd.in/e2BeTHJA

Every function of aviation that support aircraft to stay in air have a labour shortage and skills gap. Growing for the next 15 years. 👇🏽 Training, recruitment, and use of #AI will be part of the solution stack. Currently the technology has a Human in the Loop (HITL), and needs the support to learn. Over time, this AI will payback by supporting the new recruits with knowledge and learned experience. The flywheel of knowledge will turn. And airlines and MRO will organically embed AI in operations. I could be wrong. But at Amygda AI that's how I believe it will play out. #techops #maintenance #AI #aviation

Generative AI applications and solutions are tackling issues within the Transport industry with Generative AI. From optimising fleet availability, to reaching sustainability targets, and even enhancing safety and security. At Amygda, we provide troubleshooting guidance and decision support at your fingertips - find out more: https://lnkd.in/eTr3HeFt Do you know of any other transport-specific Generative AI solutions and which problem they're addressing? #GenerativeAI #MRO #TransportInnovation #AI

"Airports are often the target of cyber-attacks, and any AI must be made secure to prevent gaming of the system." - Richard Dempers, Rheinberry At Amygda AI, we seamlessly monitor aviation security equipment from multiple OEMs within a single AI software platform. Our advanced system is designed to minimise operational disruptions, reduce costs, and maintain high levels of customer satisfaction. Main Features: ⚙  Instant troubleshooting Quickly resolve issues with our instant troubleshooting capabilities, ensuring minimal downtime. 🧠  Reliable and explainable AI Benefit from transparent, trustworthy insights that explain the reasoning behind every recommendation. 🎯  Customised to your operation Tailor our platform to meet the unique needs of your operations for maximum effectiveness and efficiency. 👨🔧  Technical Assistant Leverage AI as an Assistant for technicians, sifting through extensive data to offer accurate, context-driven solutions. From operational gains to knowledge retention, we look into the complex world of transport and how Generative AI will impact it in our Leader's Guide. Free Download 👉  https://lnkd.in/ebZcRhRB #AI #MRO #Maintenance #TechInnovation #OperationalEfficiency #AirportSecurity

In the aviation industry, ensuring reliable and efficient operations is paramount. Airlines must carefully select which aircraft to deploy for each journey, making sure they can reach their destinations without issues. This complex decision hinges on:   🔎 A comprehensive understanding of each aircraft’s current health status 🔧 Logistical considerations for maintenance 🗒 Existing maintenance actions Generative AI offers a transformative solution to these challenges: - 84% accuracy - troubleshooting insights, even before aircraft reaches its destination - better spare parts forecasting and safer airline operations Read our latest article in full: https://lnkd.in/e8w3r8Q6 Stay tuned for more insights on how AI will transform operations and MRO for airlines.

Generic copilots are useful on less risky use cases.  At Amygda AI we are testing medium-risk use cases, some learnings: 😀 Oh yes, this works . 😟 Oh shit, increase accuracy  . 😧 Ah shucks, completeness is missing . 🥵 FML, who said Gen AI was easier than AI?  . 😐 Hold up, the customer is saving time with this unbaked tech? WTH... wow! Engineering and Operations in the transport sector are enjoying the benefits general-purpose technologies like LLMs are bringing. Agentic systems will soon combine deep AI and general-purpose AI to support engineers with their time. But generic "chat with your pdf" use cases aren't the holy grail in foundational transport industries. Agentic systems will be. Image credit: Anthropic who's Claude 3.5 sonnet model is beautiful #Rail #Airline #transportai #genai #engineering #operations

Failures in airport security systems lead to delays for passengers and airlines, disruption to air traffic and high maintenance costs. Amygda’s AI Assist turns hidden and unstructured data into actionable steps at the fingertips of maintenance personnel. Benefits: 🛫 Enhancing baggage & security system reliability 🛠️ Solutions for equipment failure & data scarcity 🔍 Real-time anomaly detection for smoother operations Article co-authored by Rheinberry. Read in full: https://lnkd.in/eR77gX56 #GenerativeAI #AirportInnovation

🚄 Amygda and Chrome Angel Solutions are exhibiting at the Railway Industry Association Unlocking Innovation Southern event! Join us at stand 36 in London on Wednesday, 12 June 2024. 🔗 Reserve your spot now: https://lnkd.in/ef9_Uihx #AI #RailIndustry #RailInnovation #Sustainability #OperationalEfficiency

This is a neat view from Aura Ventures on AI agentic systems. Right now we, Amygda AI,and others are in human-in-the-loop mode. But change is coming... According to Eric Schmidt, agents will be the norm in about 5 years. Tells you how early it is in AI still. I see this as the right way to do AI in transport and foundational industries. Start with HITL, and as regulation catches up, there are more agreed ways to have a swarm of AI agents working together through multiple tasks and functions. For example, two of the 3 agents we have (image 2) are sequential. Data Analysis AI agent focuses on multivariate analysis and the Maintenance AI agent. The benefit of agentic systems is that the underlying architecture doesn't need to change. Which is a huge benefit to all functions. So Engineering can have their agents on a platform that's approved. And if Procurement or Commercial need some contract AI agents, they can be leased/enabled on the same platform.  Have you 'hired' an AI Agent yet? Or looking to get one? #Rail #Airline #Airport #AIagents #TransportAI