Workshop Sample
AI Ideation Workshop Sample
Workshop sample focused on surfacing enterprise workflows ripe for AI automation, from process discovery to prototype-ready use cases.
AI AutomationIdeationWorkshopsApplied AI
Talks
booking 2026 · remote, london, or in-person
Talks and Workshops
Talks, private briefings, and workshops on AI agents, inference systems, EvalOps, and AI infrastructure.
booking now · talks · private briefings · workshops book a talk
Selected Talks
Tech Talk
Fabric IQ and Graph Data Models
Technical session on Fabric IQ and graph data models for connecting enterprise data, semantics, and AI-ready reasoning workflows.
Fabric IQGraph Data ModelsEnterprise DataAI Reasoning
Keynote
From Fragmentation to Automation
AI Innovation Hub Istanbul keynote on unifying the data estate with Fabric to power an AI Foundry.
FabricDataAI FoundryGraph
Workshop
Infobip AI Workshop
Workshop on AI product engineering, AI UX, and practical automation patterns.
AI Product EngineeringAI UXAutomation
Workshop
DigitalZone Exclusive Talks
Istanbul workshop on builder patterns, AI UX, and agent-oriented product engineering.
Builder PatternsAI UXAgents
Keynote
Endeavor x Microsoft Digital Natives
Keynote on reasoning models, AI automation, and agent systems for digital-native builders.
Reasoning ModelsAgentsAutomation
Tech Talk
Microsoft Partners: Building AI Services on Azure
Technical talk for Microsoft partners on building AI services and deployment patterns on Azure.
AzureAI ServicesTech Talk
Tech Talk
Microsoft Startups: Emerging AI Use Cases
Startup-facing technical talk on emerging AI use cases and deployment patterns.
StartupsAIUse Cases
Tech Talk
YTU Startup House
Startup-house technical talk on AI automation and practical startup use cases.
AI AutomationStartups
Workshop Topics
AI Agents in Production
Architecture, tool use, memory, and the operational controls that keep agents reliable past the demo.
Building Successful AI Products
Product discovery, AI UX, evals, launch readiness, and adoption patterns for AI products that move beyond demos.
AI Inference Engineering
Serving stacks, routing, and the latency and cost tradeoffs behind a system that ships.
EvalOps and Observability
Building the evals, telemetry, and feedback loops that tell you whether an AI system is actually working.
AI Infrastructure
The platform layer underneath applied AI: compute, deployment shape, reliability, and governance.
RAG, Context Engineering, and Data Integration
Getting the right context to the model — retrieval, grounding, and the data plumbing around it.
AI Security
Threat models, guardrails, and the failure modes that matter once an AI system meets real users.
Startup AI Systems
Pragmatic architecture for small teams moving fast from prototype to a production cloud path.
Book a Talk
Include the event or company, audience and technical level, format, topic, date/location/remote, budget range, and any other speakers or stakeholders.