Production ML Serving and Monitoring with Kubernetes
Gain insights into building an MLOps deployment platform using Kubernetes, integrating key technologies for serving and monitoring complex deep learning models.
Rapid Iteration and ML Model Deployment at Dropbox
Discover rapid ML model iteration and deployment techniques used at Dropbox, reducing development time from weeks to under an hour.
Safely Flying the Generative AI Skies - Managing Risks in AI Coding Tools
Explore risks and strategies for safely managing generative AI coding tools in organizations, supporting innovation while minimizing potential hazards.
LLM: From Playgrounds to Production-Ready Pipelines
Explore the journey from LLM playgrounds to enterprise-scale production pipelines, addressing challenges and leveraging MLOps infrastructure for cutting-edge models.
Operationalizing Data-Centric AI - Practical Tools to Quickly Improve ML Datasets
Discover practical tools and algorithmic strategies to automatically identify and address dataset issues, improving ML model performance across various data types.
Is It Too Much to Ask for a Stable Baseline? - Evaluation and Monitoring in Machine Learning Systems
Explore challenges in ML evaluation and monitoring, focusing on stable baselines in changing environments and their implications for traditional and emerging ML systems.
Hyper-Scaling Real-Time Personalization with Privacy via On-Device Computing
Explore on-device computing for real-time personalization, balancing privacy, latency, and scale while reducing cloud reliance and enhancing ML capabilities.
Building Your LLM Factory
Discover strategies for integrating LLMs into enterprise infrastructure, overcoming challenges, and leveraging cloud computing for AI applications.
Your AI Applications Need Guardrails: How to Build Them
Learn to build robust guardrails for AI applications, ensuring consistent and accurate outputs from Large Language Models in production environments.
Evolved Structures: Generative Design and Digital Manufacturing at NASA
Explore NASA's use of generative design and AI prompt engineering to enhance spaceflight missions, reducing costs and improving performance.
Getting Higher ROI on MLOps Initiatives
Discover five key lessons for building cohesive MLOps platforms, enhancing self-service capabilities, and maximizing return on investment in machine learning operations.
AI Act and GDPR: Impact on Cloud Service Providers
Explore the AI Act's provisions, its relationship with GDPR, and implications for Cloud Service Providers in this comprehensive overview.
Security in the Quantum Era: Preparing for Post-Quantum Cryptography
Explore post-quantum and quantum cryptography, preparing for cybersecurity challenges in the quantum era. Stay informed about emerging threats and solutions.
HSMs and Key Management in the Cloud - Securing Your Keys and Safeguarding Your Data
Explore cloud-based HSMs and key management strategies to enhance data security and protect sensitive information in cloud environments.
Cloud Security: Current Challenges, Emerging Technologies, and Recommendations
Explore cloud security challenges, emerging technologies, and practical recommendations to safeguard sensitive data and applications in rapidly evolving cloud environments.
How to Delay Building Skynet - Lessons Learned in Connecting AI with Automation and Robotics
Explore the distinctions between AI and automation, understanding their limits and appropriate integration in security contexts.
Stop Trying to Make Fetch Happen: A Modern Look at AI and Its Growth in Security
Explore AI's evolving role in cloud security, examining how organizations protect vital assets and systems in an increasingly interconnected digital landscape.
Cloud Security Unveiled: Navigating CSA STAR Attestation and SOC2 in the Digital Age
Explore CSA STAR Attestation and SOC2 frameworks for assessing cloud security controls, enhancing governance, and ensuring robust cybersecurity in modern IT infrastructure.
Secure Architecture Review for Generative AI-Based Services
Explore secure architecture principles for generative AI services, focusing on risk mitigation and best practices in cloud-based implementations.
What Cloud HSM Means to Financial Services
Explore the impact of Cloud HSM on financial services, focusing on security implications and industry-specific applications.
Financial Service Initiatives - Cloud Security and Compliance in the AI Era
Explore emerging trends in cloud security for financial services, including AI adoption, governance, and compliance strategies to address cybersecurity challenges.