Evaluation Engineering: Iterative Strategies to Testing Prompts
Explore iterative strategies for testing prompts, including backtesting and regression testing, to enhance evaluation engineering in prompt development.
The Who, What, and Why of Data Lake Table Formats
Explore data lake table formats, their creators, purposes, and significance in modern data architecture. Gain insights into optimizing data management and analytics.
The Secret Sauce for Deploying LLM Applications into Production
Discover the key to deploying LLM applications in production through structured evaluation. Learn to log, evaluate, and make critical decisions for successful AI implementation in enterprise settings.
From Idea to Production: AI Infrastructure for Scaling LLM Applications
Explore strategies for scaling LLM applications from beta to production, addressing challenges and building adaptable AI infrastructure for evolving models and workflows.
Data Versioning in Generative AI - A Pathway to Cost-effective Machine Learning
Explore data versioning strategies for generative AI, focusing on cost-effective techniques to minimize processing time and API calls while enhancing collaboration and efficient versioning of annotations and embeddings.
Making Enterprise GenAI Safe and Effective - Tools and Approaches
Explore tools and approaches for safe, effective enterprise GenAI deployment, including finetuning, moderation guardrails, and sidecar systems for automated compliance.
Running Prompts at CI: Why It Doesn't Make Your GenAI App Enterprise-Ready
Explore challenges and best practices for deploying GenAI applications in enterprise environments beyond basic CI prompt testing.
Democratizing Cloud Security with CNAPP - A Practical Guide
Discover how CNAPPs revolutionize cloud security, unifying fragmented stacks and empowering engineers to address critical risks efficiently. Learn implementation strategies for evolving your security program.
Innovating Responsibly with AI: Minimizing Risks and Maximizing Opportunities
Explore Adobe's blueprint for responsible AI innovation, gaining insights to develop your organization's strategy for maximizing opportunities while minimizing risks.
Achieving Resilience and Scale in the Cloud for Financial Institutions
Discover strategies for comprehensive cloud security, focusing on visibility, risk analysis, and compliance for financial institutions.
Secure AI Transformation: What We Can Do Now and in the Future
Explore new threats, strategies, and best practices for securely transforming AI initiatives, focusing on safeguarding AI applications, development, data, and runtime environments.
The Evolution of FedRAMP - Streamlining Compliance for Cloud Security
Explore FedRAMP's dynamic evolution, its impact on cloud security, and how adopting common controls frameworks can streamline compliance efforts for cloud service providers.
Top Cloud Threats: Exploring CSA's Research on Identity and Supply Chain Security
Explore latest cloud security research, focusing on identity and supply chain risks. Examine evolving threats and recent breaches based on CSA's comprehensive report.
Compliance Made Easy with Wiz - Automating Cloud Security and Compliance
Accelerate cloud innovation while maintaining compliance through automated monitoring, deep visibility, and context-based risk assessment for multi-cloud environments.
From Model T to Machine Learning: Ford's MLOps and Hybrid Infrastructure Strategy
Explore Ford's AI/ML platform journey, from inception to present day. Learn about product strategy decisions, challenges, and organizational hurdles in modernizing a traditional company.
Dynatrace for AI Observability: Monitoring OpenAI, TensorFlow, and Other AI APIs
Gain insights into AI model behavior, performance, and costs using Dynatrace. Monitor OpenAI and TensorFlow APIs, optimize performance, and understand AI observability through practical demonstrations.
How to Design and Build Resilient Machine Learning Systems
Explore strategies for building resilient ML systems that gracefully handle real-world challenges. Learn to detect, mitigate, and overcome production-specific risks across various domains.
What Does it Mean to be an AI Engineer in the World of Generative AI
Explore the evolving role of AI Engineers in the era of Generative AI, covering technical aspects and business strategies for both engineers and decision-makers.
Ownership-Driven Observability Use Cases with Dynatrace
Explore ownership-driven observability with Dynatrace. Learn to assign owners, manage team metadata, and leverage data for improved automation, reducing MTTR and enhancing collaboration.
Dynatrace Tips and Tricks - Using Auto Tagging for Entity Onboarding and Maintenance Windows
Explore advanced auto-tagging techniques for Dynatrace entities based on onboarding timestamps, enhancing reporting, filtering, and alert management during initial setup.
Best Practices for Auto Remediation with Ansible and Dynatrace
Discover best practices for scaling incident response using automated problem detection and remediation with Ansible and Dynatrace. Learn to reduce MTTR by 99% and effectively manage growing systems.