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What made our AI in Real Life (AI_IRL) event stand out? A principal engineer from GoCardless shared that AI_IRL provided a much-needed dose of reality amidst the GenAI hype. He gained practical knowledge on effectively utilising LLMs, affirming his intent to return for future editions. At the event, NLP and CV industry leaders explored the practicalities of deploying GenAI while ensuring data quality in healthcare, tackling scaling challenges with 'inference centricity', and transforming developer workflows. Dive into our recap and watch the full-demand recordings for real-world AI strategies: https://hubs.li/Q03cvPSB0 #AI #GenAI #AI_IRL #LondonAIEvents #CloudFactory

Accuracy in skin cancer detection is crucial. Intersection over Union (IoU) is transforming AI-driven diagnostics by reducing false positives and catching cancers early. Here’s why IoU matters: https://hubs.li/Q03dvN1B0 #AI #Dermatology #HealthTech

Unstructured data—text, images, videos—is messy, complex, but incredibly valuable for AI models. Our latest Solution Series article explains how organizations can effectively manage and leverage unstructured data to fuel innovation, improve insights, and gain a competitive edge. ?? https://hubs.li/Q03cGckl0 #AI #MachineLearning #DataManagement #UnstructuredData

When the cost of inference error is impeding your confidence to deploy AI for its disruptive potential. unlocking the disruptive potential of AI for the world!! #cloudfactory #inferenceevaluation

We want to thank Jonathan, a data scientist from the maritime decarbonisation sector, for sharing valuable insights from our recent AI in real-life event (AI_IRL). For Jonathan, two key themes stood out: ?? Human Oversight in AI: 'When building your models, don't completely remove the human component; instead, minimize the time it takes for the human to be present, especially when businesses are applying machine learning in generative AI solutions.' ?? The Power of Small Language Models: The Great Ormond Street Hospital for Children NHS Foundation Trust case study shared by Pavithra Rajendran, Ph.D., powerfully illustrated this, demonstrating how these models can deliver vital patient care even in environments with limited data. It showcased the potential for focused, efficient AI solutions to significantly and positively impact critical real-world applications. Learn more: https://hubs.li/Q03d3pM10 #LondonAIEvents #AI_IRL

Accuracy alone won’t cut it in computer vision. Find out why robust metrics are critical to safe, reliable AI—especially in high-stakes scenarios. Read more: https://hubs.li/Q03cG7nY0 #AI #ComputerVision

High-quality AI starts with high-quality data. ?? From structured databases to messy images, videos, and text, data curation is the hidden hero behind every successful AI model. Our latest blog breaks down how smart data curation enhances AI performance, streamlines model training, and cuts costs. Get the insights here ?? https://hubs.li/Q03bnyHs0

Can intentionally adding imperfections boost medical AI performance? Absolutely. Learn how Gaussian noise teaches AI systems to cut through real-world imaging challenges, improving diagnostic accuracy and reliability in healthcare. https://hubs.li/Q03bQlLd0

Security is the bedrock of reliable AI. At CloudFactory, we understand that building trustworthy AI solutions hinges on robust data protection. That's why we're proud to announce our ISO/IEC 27001:2022 re-certification, valid for the next three years, across all our global operations (UK, USA, Nepal, Kenya, and Germany). This achievement underscores our commitment to maintaining the highest information security and data protection standards for our clients. In an era where AI innovation demands precision and ethical considerations, our rigorous data security approach provides the assurance you need to utilize our human-in-the-loop expertise and advanced platform. Learn why this matters: https://hubs.li/Q03bGkTv0 #ISO27001 #AI #DataIntegrity #CloudFactory #Innovation #EthicalAI

?? Better Data = Better AI ?? How to acquire it: https://hubs.li/Q03b9NsQ0 #AI #MachineLearning #DataCollection #AIModels #BigData