
Explore AI observability and evaluation with OpenInference and Arize-Phoenix. Learn practical techniques for incorporating LLMs to guard against hallucinations and poor retrieval.

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.

Discover emerging automated evaluation solutions for LLMs, combining micro evaluators and human feedback to confidently deploy AI in enterprise applications.

Explore strategies for scaling LLM applications from beta to production, addressing challenges and building adaptable AI infrastructure for evolving models and workflows.

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.

Explore tools and approaches for safe, effective enterprise GenAI deployment, including finetuning, moderation guardrails, and sidecar systems for automated compliance.

Explore production-quality Generative AI pipelines using Apache Airflow. Learn to orchestrate workflows, integrate data engineering, and implement MLOps best practices for robust AI applications.

Explore the complexities of defining Open-Source AI, balancing innovation with core open-source principles in the evolving AI landscape. Engage in shaping a definition that reflects technological progress.

Explore best practices for deploying generative AI models at scale, with an interactive example using UbiOps for serverless and cloud-agnostic implementation.

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.

Explore integrating generative AI in games, architect for scalability, and future-proof development with insights from Google Cloud's product manager.

Explore the paradigm shift in machine learning brought by transformers, examining new research questions and recent findings in AI development.

Explore how Generative AI revolutionized company creation, from coding to cybersecurity, streamlining operations and driving innovation in enterprise development.

Develop proactive strategies for ethical AI deployment, addressing cyber risks and regulatory compliance while gaining a competitive edge in the era of Generative AI.

Explore strategies for securely integrating GenAI into cloud security, addressing data challenges and operational safety while gaining actionable insights for effective implementation.

Explore emerging GenAI threats, build comprehensive AI security programs, and implement safeguards like LLM Firewalls to ensure responsible adoption aligned with industry standards.

Explore how generative AI is revolutionizing cybersecurity, its potential benefits, and how professionals can prepare for this transformative technology.

Explore AI/ML and zero trust's role in combating cyber threats, enhancing network security, and driving business innovation through visibility, control, and automation.

Discover how to leverage GenAI for enhanced cybersecurity, including team augmentation, anomaly detection, and accelerated insights, while maintaining data security and privacy.

Explore foundation models as a new AI paradigm. Learn practical ways to leverage these models in building and productizing AI systems for your company.

Explore cutting-edge data and AI technologies, real-world applications, and industry insights from global experts. Gain knowledge on generative AI, data governance, and optimizing data intelligence for enterprise success.