5 Ways Cybersecurity Leaders Can Leverage GenAI in 2024
Discover how to leverage GenAI for enhanced cybersecurity, including team augmentation, anomaly detection, and accelerated insights, while maintaining data security and privacy.
Building Trust Through Standards - Financial Services and the Cloud
Explore the integration of financial services and cloud standards to build trust, featuring insights from Cyber Risk Institute CEO Josh Magri on industry collaboration.
Overview of Resecurity: Context, Risk, and Threat Intelligence Applications
Explore Resecurity's threat intelligence tools and learn how companies can leverage Context and Risk for enhanced cybersecurity strategies.
Tales of Cloud Compromise - Real Incidents and Learnings
Explore cloud security risks, attack vectors, and real-world incidents. Learn practical recommendations to minimize cloud-related security threats in your organization.
Orchestrating Secure Development Lifecycles in the Cloud
Explore cutting-edge approaches to orchestrate Secure Development Lifecycles in the Cloud, addressing challenges and implementing automation for efficient scaling.
Cloud Threats 2023 - A Year in Review
Explore 2023's cloud cybersecurity landscape, analyzing evolving threats and gaining actionable insights for defending organizations against emerging risks.
Evolve from Visibility to Actionability - Proactive Measures for Emerging Threats
Discover best practices for managing cloud-based assets and systems, focusing on proactive measures to address emerging threats and enhance security posture.
End-to-End MLOps for Computer Vision
Explore end-to-end MLOps for Computer Vision, from data gathering to model monitoring. Learn to implement ML pipelines using tools like Amazon SageMaker, Kubernetes, Kubeflow, and MLFlow.
The Ops in MLOps: Creating Cost-Effective and Compliant ML Environments
Explore techniques for creating cost-effective, secure, and compliant ML environments with proper data governance in MLOps.
Building an ML Platform from Scratch
Develop a customizable ML platform using open-source tools. Learn to integrate Cookiecutter, DVC, MLFlow, KFServing, and more for a flexible solution tailored to your organization's needs.
Automatic ML Model Containerization: Best Practices and Tools
Explore best practices for containerizing ML models for production inference. Learn about secure, multi-tenant image builds, avoiding lock-in, and tools like chassis.ml and Open Model Interface for seamless integration.
SLA-Aware Machine Learning Inference Serving on Serverless Computing Platforms
Explore adaptive batching for efficient ML inference serving on serverless platforms. Learn to optimize costs and ensure SLA compliance using MLProxy for improved performance.
Accelerating Deployment of AI with MLOps Orchestration
Explore MLOps orchestration to simplify AI deployment using Kubernetes and open-source tools. Learn to build efficient ML pipelines, from data preparation to model monitoring, accelerating business value across various use cases.
Critical Use of MLOps in Finance Using Cloud-Managed ML Services That Scale
Leverage MLOps to improve quality and consistency of machine learning solutions in finance. Accelerate model experimentation, deployment, and tracking using cloud-managed services for efficient scaling.
Top 5 Lessons Learned in Helping Organizations Adopt MLOps Practices
Discover key insights and strategies for implementing MLOps practices at scale. Learn common challenges and effective mitigation techniques for successful organizational adoption.
Implementing MLOps Practices on AWS using Amazon SageMaker
Implement ML pipelines with CI/CD practices using SageMaker Pipelines. Gain hands-on experience in MLOps, incorporating DevOps principles into machine learning workflows for scalable and efficient model deployment.
Hands-on: A Beginner-Friendly Crash Course to Kubernetes
Découvrez les bases de Kubernetes et des applications Cloud Native. Explorez l'orchestration de conteneurs et le déploiement d'applications dans un environnement cloud moderne.
Supporting Sales Forecasting at Scale for Canada's Largest Grocery Store
Explore MLOps platform setup on Google's Vertex AI for sales forecasting at Canada's largest grocery chain. Learn to track ML lifecycle stages and expedite data science projects from exploration to production.
Building Production ML Monitoring from Scratch - Live Coding Session
Build a cloud-native ML monitoring stack using open-source tools. Create a live web dashboard to measure model drift, feature statistics, and performance metrics in production, with Python-based custom metrics integration.
How to Reduce ML Computing Costs: Building Efficient Multi-Cloud Infrastructure
Discover cost-effective ML infrastructure strategies, including hybrid cloud architectures, spot instances, and fractional GPUs. Learn to optimize computing costs by up to 83% across multiple environments.
MLOps for Personalized Reinforcement Learning in Mobile Gaming - Rovio's Approach
Explore Rovio's MLOps infrastructure for personalized reinforcement learning in mobile gaming. Learn how to leverage cloud services for individualized player experiences without traditional A/B testing.