ML Observability for Mission-Critical Use Cases
Explore key components and challenges of ML Observability for critical AI deployments, including explainability, monitoring, and risk mitigation. Learn from real-world case studies.
How to Get Value Out of ChatGPT and Stable Diffusion Models with Proprietary Data
Explore applications of language models and generative AI in corporate settings, boosting productivity and customer experience while preserving proprietary data.
Federated Learning for Nonparametric Function Estimation - Framework and Optimality
Explore federated learning for nonparametric regression, focusing on statistical optimality, privacy preservation, and the balance between accuracy and data protection in distributed settings.
Federated Learning: Unlocking the Value of Distributed Data
Explore federated learning to leverage distributed data for robust machine learning models without centralizing sensitive information. Learn benefits, challenges, and practical applications.
On-Device Training and Transfer Learning - Lecture 19
Explore on-device training and transfer learning techniques for efficient machine learning, focusing on practical applications and cutting-edge methodologies.
On-Device Training and Transfer Learning - Lecture 19
Explore on-device training and transfer learning techniques for efficient machine learning, focusing on practical applications and cutting-edge methodologies.
From Podman AI Lab to Production: Implementing Enterprise-Ready Generative AI
Develop enterprise-grade generative AI applications from local prototyping to scalable deployment, using Podman AI Lab and OpenShift AI for secure, integrated solutions.
Next Big Things for Digital Societies - Estonia's Perspective
Explore the future of digital societies with Estonia's first CIO, examining global developments and upcoming challenges beyond self-driving cars.
Keynote: Open Source AI Now - Why Open Must Win the AI War
Explore the critical importance of open source in the AI revolution and why it's essential for open technologies to prevail in the evolving landscape.
Fountain of Creativity or Pandora's Box - Large Language Models in Healthcare: From Concept to Application
Explore large language models in healthcare: from concept to application, with insights on potential benefits and risks from Stanford experts.
ChatGPT in a Medical Setting: Safety, Appropriateness, and Desirability - November 15, 2023
Explore the safety, appropriateness, and potential benefits of using ChatGPT in medical contexts with insights from linguistics and computer science experts.
Hyperledger In-depth: Next Generation Blockchain Consortium with GSBN
Explore the fusion of enterprise blockchain and confidential computing in next-gen consortiums. Learn about Hyperledger Foundation, CCC initiatives, and GSBN's journey from concept to real-world applications in global shipping.
Enhancing Privacy and Security with ZKP and Encryption in Hyperledger Fabric
Explore advanced cryptographic techniques for data privacy in Hyperledger Fabric. Learn about Zero Knowledge Proof, Homomorphic Encryption, and their applications in various industries.
Enhancing Data Security and Privacy in Public Healthcare - Hyperledger Healthcare SIG
Explore strategies for enhancing data security and privacy in public healthcare using blockchain technology. Gain insights from government project experiences and Hyperledger implementations.
RAG Quality Starts with Data Quality - Enhancing Retrieval-Augmented Generation Systems
Explore data quality's crucial role in Retrieval-Augmented Generation (RAG) systems. Learn data prep essentials, overcome challenges, and enhance performance while ensuring privacy and governance in enterprise settings.
Hyperledger AnonCreds Workshop - Using ZKP Verifiable Credentials Everywhere
Explore Zero Knowledge Proofs in verifiable credentials with hands-on exercises. Learn about AnonCreds, ledger-agnostic implementations, and future developments in decentralized identity.
Tekoäly ja terveysdata - Mahdollisuudet ja haasteet terveydenhuollossa
Tutustu tekoälyn mahdollisuuksiin ja haasteisiin terveystietojen hyödyntämisessä. Syvenny asiantuntijoiden keskusteluun datan käytöstä, sääntelystä ja vaikutuksista tutkimukseen sekä terveydenhuoltoon.
MLOps: Herramientas para Detectar y Proteger Datos Médicos
Descubre cómo anonimizar y proteger datos médicos sensibles usando Microsoft Presidio, con enfoque en imágenes DICOM y estándares FHIR, cumpliendo normativas GDPR, PII y HIPAA.
MLOps Tools for Health Data Anonymization in Healthcare and Medical Environments
Master healthcare data anonymization techniques using Microsoft Presidio and specialized tools for DICOM images and FHIR formatting, ensuring compliance with privacy regulations like GDPR and HIPAA.
The Tools We Still Need to Build with AI
Explore the critical challenges and opportunities in AI development, focusing on data provenance, compensation, and infrastructure needs while building towards an ethical and sustainable AI-powered future.
Towards Label Efficiency and Privacy Preservation in Video Understanding
Explore advanced techniques for efficient video analysis while maintaining data privacy, focusing on label-efficient learning methods and privacy-preserving frameworks for video understanding.