
Explore MLflow's four components to simplify the machine learning lifecycle, from experimentation to production, enhancing reproducibility and accelerating development.

Explore Drifter-ML, a testing framework ensuring ML models meet training assumptions. Learn motivations and practical examples for model testing.

Explore Dynatrace Query Language and Workflows for powerful data analysis, pattern discovery, and automated monitoring in this hands-on session with a Technical Product Specialist.

Explore new Dynatrace Notebooks capabilities for enhanced data analysis, including interactive query builders, improved charting, and AI-assisted insights with Dynatrace CoPilot.

Explore Dynatrace's Security Investigator App for faster, evidence-driven security investigations and threat hunting. Learn its unique approach, branch-based analysis, and see a live demo.

Explore new Dynatrace Dashboard App features through a live demo, including advanced threshold visualization, sparkline for timeseries, and enhanced unit formatting.

Explore notifications and alerting in Dynatrace with hands-on examples. Learn to set up alerting profiles, configure problem notifications, integrate email alerts, and manage maintenance windows.

Explore Kubernetes health diagnostics using Dynatrace and external agents. Learn to collect logs, compare agents, monitor critical data, and implement autoscaling rules for confident cluster operation.

Explore Dynatrace's Davis AI Analyzer for advanced anomaly detection in high-cardinality data. Learn to reduce alert noise, avoid fatigue, and leverage AI across various contexts through a comprehensive demo.

Explore OpenTelemetry's capabilities through a demo app, learning to set up and analyze distributed traces and metrics in Dynatrace within minutes.

Explore cutting-edge genomic medicine and its impact on understanding genetic variants. Learn how advanced techniques are revolutionizing the interpretation of previously unknown genetic variations in cardiovascular health.

Explore genetic insights into type 2 diabetes subtypes, their implications for patient care, and future research directions in this comprehensive discussion.

Explore gene programs and tissue context beyond individual cells, uncovering novel insights into pressing biomedical questions through advanced machine learning techniques.

Explore polygenic prediction across populations, examining ancestry, genetic architecture, and methodological considerations for improved understanding of complex trait genetics.

Explore deep end-to-end causal inference and discover its applications in data-driven decision-making across various domains. Learn about causal discovery, inference, and the Microsoft causal AI suite.

Explore advanced concepts in medical and population genetics, focusing on complex trait analysis, human genetic variation, and cutting-edge sequencing methods.

Explore deep learning and single-cell genomics tools for interpreting human genetic variation with Oliver Stegle from EMBL and DKFZ.

Explore practical bulk RNA-seq techniques and eQTL analysis guidelines in this comprehensive guide for medical and population genetics researchers.

Explore diffusion models for high-dimensional generative optimization in AI, focusing on biomedical applications and machine learning advancements.

Explore AI innovations advancing clinical care, from theoretical foundations to practical therapeutic applications in biomedical research and healthcare.

Explore structural variations in human genomes, their impact on genetics, and cutting-edge analysis techniques with experts from the Broad Institute.