AI Tech Talks
Tailored to Your Needs
We invite top experts behind the latest AI models, tools, and architectures.
We deliver curated talks to inspire new ideas and accelerate implementation.
Direct from the Frontier of AI Research & Engineering
Atenai AI Tech Talk Series helps your teams to stay ahead by turning cutting-edge research into practical insight. We curate expert talks aligned to your teams' priorities—accelerating the path from development to deployment.
Accelerate Learning Focussed on What Matters Most
Talks tailored to your domain, priorities, and technical roadmap.
Access Global Experts, Without the Hassle
We source and book top-tier researchers and engineers-to save you time and effort.
Speed Up Implementation from Idea to Production
Each talk inspires action, with transcripts and write-ups to drive implementation.
Join us
HOW ATENAI TALKS WORK
Our exclusive, end-to-end service brings world-class AI expertise to your team — from defining your priorities to delivering carefully curated, insight-rich sessions that leave a lasting impact.
Bespoke Discovery
We begin with a tailored consultation to understand your organisation’s strategic interests, technical focus areas, and emerging challenges. Our quarterly check-ins ensure your talk series evolves with your teams' needs.
Curated Excellence
We hand-select leading researchers, engineers, and practitioners to deliver a series crafted around your priorities — from frontier ML research to cutting-edge tools and real-world applications in your field.
White-Glove Delivery
Every detail is expertly managed—from speaker coordination to seamless hosting—with polished transcripts, summaries, and insights delivered post-talk for easy sharing and alignment.
To Inspire Your Teams
We work closely with your teams to co-design talk series that meet your specific goals and interests. Below is a selection of topics to illustrate the types of talks we can co-create together.
Advances in AI Architectures
Advances in transformers, Mixture of Experts, sparse and efficient models, multimodal models, Retrieval-Augmented Generation, memory-augmented models.
Developments in ML Engineering
Model training pipelines, CI/CD for ML, data versioning, feature stores, model registries, experiment tracking, model deployment, model monitoring, drift detection, automated testing, reproducibility, ML metadata management.
The Rise of Agentic AI
Model Context Protocol (MCP), Agent2Agent (A2A) protocol, Agent Development Kit (ADK), Agentspace, Gemini 2.5, CrewAI, Project Mariner, multi-agent interoperability.
LLMs & GenAI
Vector DBs, RAG, Small Language Models, quantisation, fine-tuning, embeddings, chunking, caching, streaming, tool use, evaluation metrics, safety guardrails.