Conference Talks
Keynotes & presentations derived from the full agenda.
Opening Keynote: The Future of Neural Architecture Search
Exploring automated neural network design and optimization
Designing Scalable NLP Application Stacks
Architecture for data pipelines, orchestration, evaluation & safe deployment of language systems.
Quantum-Classical Integration Patterns
Practical hybrid workflows for near-term advantage.
Keynote: Automated Model Optimization Pipelines
Continuous architecture & hyperparameter search loops.
Probabilistic Safety Nets in ML
Uncertainty-aware gating & rollback strategies.
RAG Evaluation & Monitoring
Precision, hallucination tracking & feedback loops.
Fireside: Quantum-Accelerated AI Horizons
Roadmap for hybrid accelerators in production.
Keynote: Next-Gen NAS Benchmarks
Benchmarking efficiency & emergent capabilities.
Conversational AI Observability
Instrumentation & drift detection in dialogue flows.
Product Strategy for AI Feature Rollouts
Incremental release & stakeholder alignment.
Quantum ML Tooling in Practice
APIs, simulators & when it matters.
Keynote: AI Platform Architecture Patterns
Composable services, guardrails & telemetry.
Architecting Production Conversational AI
Latency budgets, retrieval layers & monitoring.
Quantum-Classical Hybrid ML Systems
Hybrid execution & scheduling strategies.
Model Lifecycle Governance
Versioning, approval gates & auditability.
Keynote: Responsible Acceleration of AI
Balancing velocity with governance & safety.
Production RAG Patterns
Indexing, retrieval shaping & evaluation loops.
Optimization Playbook Live
Live tuning & performance diagnostics.
Closing Session: Future Directions in AI
Strategic predictions & audience Q&A.
Community Demos & Lightning Talks
Showcase prototypes & rapid insights.