Keynotes, year over year

467 keynotes · 62 conferences

Themes by year

Theme202620252024
AgentsAI agents, agentic workflows, agent platforms and protocols such as MCP and A2A.17238
AI infrastructureChips, GPUs, accelerators, AI data centers and factories, networking and compute.8127
Data platformsDatabases, lakehouses, warehouses, streaming, analytics and data engineering.588
ModelsNew frontier and foundation models and model families from the host.176
AssistantsConsumer and workplace AI assistants: Siri, the Gemini app, Copilot, ChatGPT features.643
AI codingAI for software development: coding agents, developer tools, code review.354
Open sourceOpen-source software and communities: Kubernetes, Linux, Postgres and more.165
Enterprise appsBusiness applications with AI: CRM, ERP, IT service, HR, marketing, creative suites.343
DevicesPhones, PCs, wearables, glasses, headsets and other consumer hardware.432
SecurityCybersecurity, identity and the security of AI systems.423
GovernanceAI governance, trust, responsible AI, compliance and sovereignty.414
RoboticsRobotics, physical AI, autonomous vehicles, simulation and digital twins.233
PlatformsOperating systems and app platforms: iOS, Android, Windows, the web, design tools.224
CloudCloud platform services, migration, hybrid and multicloud, serverless.131
PricingPricing, packaging, licensing and free tiers as a headline.13·
Open modelsOpen-weight models and the ecosystems around them.21·
Keynotes on file233323

A cell counts that year's keynotes tagged with the theme; darker means a larger share of that year's keynotes. Years with fewer than five keynotes on file, and keynotes still pending a summary, are left out of the grid.

What the themes mean

Agents: AI agents, agentic workflows, agent platforms and protocols such as MCP and A2A.

Assistants: Consumer and workplace AI assistants: Siri, the Gemini app, Copilot, ChatGPT features.

AI coding: AI for software development: coding agents, developer tools, code review.

Models: New frontier and foundation models and model families from the host.

Open models: Open-weight models and the ecosystems around them.

AI infrastructure: Chips, GPUs, accelerators, AI data centers and factories, networking and compute.

Data platforms: Databases, lakehouses, warehouses, streaming, analytics and data engineering.

Cloud: Cloud platform services, migration, hybrid and multicloud, serverless.

Devices: Phones, PCs, wearables, glasses, headsets and other consumer hardware.

Robotics: Robotics, physical AI, autonomous vehicles, simulation and digital twins.

Security: Cybersecurity, identity and the security of AI systems.

Governance: AI governance, trust, responsible AI, compliance and sovereignty.

Enterprise apps: Business applications with AI: CRM, ERP, IT service, HR, marketing, creative suites.

Open source: Open-source software and communities: Kubernetes, Linux, Postgres and more.

Platforms: Operating systems and app platforms: iOS, Android, Windows, the web, design tools.

Pricing: Pricing, packaging, licensing and free tiers as a headline.

Themes are picked from this fixed list only, 1 to 3 per keynote, most central first, from the transcript or the official recap.