Infrastructure for Managing, Sharing, and Utilizing Sensitive Data using Hyperledger Fabric Private Chaincode - Demo
Explore infrastructure for managing sensitive data using Hyperledger Fabric Private Chaincode on Microsoft Azure. Learn about distributed ledger technologies and their application in privacy-critical domains.
Enabling Portable KYC for Financial Institutions
Explore portable KYC solutions for financial institutions, enabling streamlined customer onboarding and improved compliance processes across multiple organizations.
The Role of ML Engineers in the Era of GPT-4 and BARD
Explore the evolving role of ML engineers amid the rise of large language models. Learn to evaluate API suitability, address privacy concerns, and adapt skills for future projects.
Efficiently Scaling and Deploying Large Language Models
Explore efficient scaling and deployment of LLMs, focusing on decentralized approaches, custom model training, and practical insights for building and implementing AI solutions.
Large Language Models for Digital Foundational Identity
Explore large language models' potential in digital foundational identity systems, examining their applications and implications for identity verification and management.
Learning and Unlearning Your Data in Federated Settings
Explore federated learning and unlearning approaches for collaborative AI model training while preserving data privacy. Analyze methods for removing data inputs in distributed settings to comply with regulations.
How to Exclude a Country in Google Analytics 4 - Six Methods
Discover six effective methods to exclude country data in Google Analytics 4, including temporary solutions and permanent tracking prevention using data layer and server-side tagging.
The Case for Confidential Computing - Protecting Sensitive Data Across Industries
Explore the importance of confidential computing in protecting sensitive data, enabling secure collaboration, and delivering federated learning solutions across industries, particularly in healthcare and AI.
Data and AI Governance: Guided Innovation with Responsible by Design Framework
Explore balanced AI governance strategies for business transformation, innovation, and responsible design in this talk by Anup Bose from Infosys on data and AI governance.
Sparking Real-World Data Connectivity Through Datavant and Databricks
Explore how Datavant and Databricks revolutionize health data sharing, enhancing medical research and patient care through privacy-preserving technology and improved data connectivity.
Scaling Marketing and Docs with a Privacy-Safe RAG Model
Unlock unstructured data's value using LLMs while ensuring privacy. Learn how Skyflow developed a privacy-safe RAG model for marketing and documentation, leveraging Databricks, Streamlit, and open-source tools.
Nebula: A Privacy-First Platform for Data Backhaul
Explore a privacy-focused platform for secure data backhaul, emphasizing protection of sensitive information during transmission and storage.
From Individual Computation to Allied Optimization: Remodeling Privacy-Preserving Neural Inference - 2024
Explore privacy-preserving neural inference optimization, transitioning from individual computation to allied approaches for enhanced data protection and efficiency.
Private Analytics via Streaming, Sketching, and Silently Verifiable Proofs - 2024
Explore innovative techniques for private data analytics using streaming algorithms, sketching methods, and silently verifiable proofs in this cutting-edge IEEE presentation.
Managing Differential Privacy in Large Scale Systems - Lecture 574
Explore techniques for implementing differential privacy in large-scale systems, focusing on practical challenges and effective management strategies.
Open Source AI and AI Regulation
Explore open source AI and regulatory frameworks with experts, gaining insights into the intersection of technology, ethics, and policy in artificial intelligence.
Confidential Computing: Advances in Secure Data Collaboration
Explore confidential computing advances for secure data collaboration, ML model protection, and privacy-preserving analytics in trusted execution environments.
Why Decentralized Monitoring Matters
Explore decentralized monitoring's advantages over centralized systems, focusing on fidelity, scalability, cost, accuracy, resilience, efficiency, and data privacy. Learn about Netdata's approach and future trends.
Three Ways to Use AI on Android - The Good, the Bad and the Ugly
Explore practical strategies for responsible AI integration in Android apps, from basic implementations to secure, cost-optimized architectures.
IoT - Smart Products, Smart Places but Most of All Smart People
Explore the paradigm shift in IoT innovation, focusing on smart products, places, and people. Learn to think differently, navigate disruptions, and uncover opportunities in this transformative landscape.
Fake It Till You Make It - An Introduction to Synthetic Data
Explore synthetic data generation for GDPR compliance, addressing privacy concerns while maintaining data usability. Learn practical techniques using Python for testing, debugging, and analytics.