AWS Canberra Well-Architected User Group’s Post

#LatePost 🌟 Attending the AWS Summit 2024 in LA was a transformative experience! 🌟 As a Computer Science student, diving deep into the latest advancements in cloud computing and AI was thrilling. This year's theme, focusing on generative AI, highlighted the groundbreaking potential of creating intelligent applications. AWS's suite of services like SageMaker, Bedrock, and PartyRock opens up endless possibilities for developers. One of the most exciting parts of the summit was participating in the drone-building workshop. This hands-on session allowed me to explore the integration of AI with drone technology, learning how to develop and deploy autonomous drones using AWS services. Additionally, the expo hall was a treasure trove of innovative demos and AWS partner solutions, providing a comprehensive look at the cloud ecosystem. Huge thanks to the AWS team for organizing such a stellar event! The knowledge and connections gained here will be invaluable as I move forward in my career. Can’t wait to implement what I’ve learned and stay engaged with this amazing community. 🚀 #AWSSummit2024 #AWS #CloudComputing #GenerativeAI #DroneTechnology #AmazonBedrock #SageMaker #TechCommunity #MachineLearning #Innovation #TechEvents #FutureOfTech #PromptEngineering

For computer vision engineers in the self-driving field, annotating fused LiDAR-camera images is a tedious and challenging task. Traditional methods often struggle to handle the massive point cloud data and complex 3D environments. Fortunately, BasicAI has developed the LiDAR Fusion Tool, which leverages powerful AI capabilities to: 💥 Efficiently conduct 3D object detection and tracking 💥 Intelligently handle the annotation of semantic segmentation for point clouds and images 💥... This tutorial is essential viewing for computer vision engineers aiming to enhance the efficiency of annotation on self-driving projects. Click play to see how BasicAI's AI-powered tools efficiently perform 3D object detection, tracking, and point cloud segmentation on fused LiDAR-camera data: https://lnkd.in/gcs_vWKK #computervision #selfdriving #lidar #3Dannotation #aidataannotation #datasegmentation #objectdetection #objecttracking #pointcloudsegmentation #aipoweredtools #lidarfusion

A couple of thoughts after reading this blog from Amazon about the use of AWS across various industries: - AI can be trained to spot defects and optimize techniques or routes to save resources and money while achieving more efficiency and accuracy - If AI detects an anomaly or abnormal metric, key personal get notified instantly to prevent any disaster or damage to equipment - Having real time data that is flowing into the AWS Cloud allows that data to be stored in the cloud as well as using that data to be reused to train the AI algorithm for further improvement - Having drones equipped with AI to process high quality real time images that can be stored in AWS Cloud, allows companies in the Oil and gas as well as Power and utilities industry to monitor lines and equipment in rural or remote areas to prevent any damage or check condition of equipment as well as instant notifications for key personnel if equipment is damaged or obstructed or looks to worn, to be fixed quickly so that the repair price is not to high and the companies can save money to invest in different departments within the company. What are your thoughts? Amazon Amazon Web Services (AWS) #Technology #Business #Cloud #Future #AI

👨✈️ #Copilot Training at the Zurich Airport - don't worry, I'm not flying an A380 ✈ Sandro and I are just expanding our skills so that Microsoft Copilot AI projects don't crash land. Thank you Microsoft for the very close cooperation and sharing knowledge in the area of #AI and Microsoft Cloud ☁ Benjamin Müller Manuel Michaud Florian Follonier, PhD 🚀 First-hand know-how from the Copilot #experts, thank you Jochen & André. #MicrosoftPartnerReadiness #CopilotDeployment #CopilotAdoption

If you work with point cloud data in Global Mapper Pro, these resources are for you: ✔️ Attributes in Lidar Data: https://ow.ly/IGsY50T3VXA ✔️ Sub-Classification: https://ow.ly/jBUS50T3VXv ✔️ Machine Learning for Classification: https://ow.ly/BogS50T3VXr ✔️ Insights from Mike Childs on #GEOTalksPod: https://ow.ly/86I950T3VXl

"If you can't describe what you are doing as a process, you don't know what you're doing." These words from W. Edwards Deming, regarded as the founder of modern quality control, resonate with us here at TopoDOT. Our understanding of geospatial software solutions and their use cases provide a unique process leading to higher productivity and profitability in point cloud processing. In other words, we stay focused on learning and understanding the #geospatial industry so that we can provide our users with best-in-class solutions, making them more successful. Want to learn more? Use the link below to check out our website or give us a call! #lidar #pointcloud

It was great joining the AWS OnAir show on Friday to discuss and demo how Robotec.ai runs 7-container simulation jobs, with one simulation container and 6 autonomous mining truck containers. If you missed it, you can view the recording here: https://lnkd.in/gpZhFdTu #aws #simulation #robotics #autonomous

Here's a rundown of today's newsletter: 1️⃣ NASA and Microsoft unveil Earth Copilot, an AI chatbot designed to simplify access to NASA's geospatial data, offering insights on topics like natural disasters and environmental changes. 2️⃣ The FTC is set to investigate Microsoft’s cloud business, focusing on alleged anti-competitive practices like restrictive licensing and high exit fees to deter customers from switching providers. 3️⃣ Physical Intelligence aims to revolutionize robotics by combining AI models with motion and sensor data, enabling robots to perform complex tasks with humanlike dexterity and adaptability. And more 👇 https://lnkd.in/eBXNpWZb

amazing demo from #awscloud & #deloitteconsulting demonstrating yet more innovative ways to use #ai the potential use cases are endless

With your data, build and deploy a RAG-based copilot QnA solution with prompt flow using Azure AI Studio Youtube: https://lnkd.in/dk7xiCCz #MicrosoftAzureAIStudio #LLM #MSCopilot #Copilot #RAG