Agentic AI Events in 2027: Where Engineers and Enterprise Leaders Should Go

Each tool you give an agent creates an operational responsibility. Your shortlist should reflect whether you build the integration, approve it or answer for what it does.

These six agentic AI events and courses for 2027 publish content spanning engineering, enterprise adoption, marketing and tax. I would compare what they teach with the responsibility you hold.

Engineering depth and enterprise relevance need different evidence

For engineering, inspect the syllabus for tool calling, orchestration, state, evaluation and observability. I would check prerequisites and how much time you spend building or examining systems.

For enterprise adoption, examine the people and processes around an agent’s actions. I would look for permissions, review, escalation and operational ownership alongside the claimed benefit.

Compare the published agent focus

The professional matches are my interpretation. I have distinguished announced themes and previous programmes from confirmed 2027 sessions.

1. JETZT Agentic AI: start with the marketing workflow

26–27 JANUARY 2027 | VIENNA, AUSTRIA

The JETZT Agentic AI announcement places the conference at SAAL der Labstelle Wien and specifically focuses on agents in marketing and advertising. Its advertised formats include keynotes, practical cases, fireside chats and panels.

I would consider it for agency and marketing-operations leaders. Ask where the agent can propose, change or publish campaign work, and who reviews each transition.

That is a different reason to attend from learning an orchestration framework. A developer seeking substantial coding practice should examine OST’s course before assuming that an agent-themed business conference provides it.

2. OST: examine the engineering syllabus before the promise

28–29 JANUARY 2027 | RAPPERSWIL, SWITZERLAND

OST’s Generative AI & Agentische Systeme course publishes modules covering tool use, memory, planning and agent integration. The outline includes Model Context Protocol connections, LangGraph orchestration, evaluation and security exercises.

This is my first choice here for a defined learning sequence. I would examine how state, checkpoints and human intervention work together, then identify exercises to adapt afterward.

The prerequisites include solid Python knowledge, familiarity with APIs and JSON, and a prepared laptop. Confirm the teaching language and setup instructions; a guided course gives you techniques to investigate, while your deployment still needs its own validation.

3. WU: put the domain expert beside the agent builder

15–16 FEBRUARY 2027 | VIENNA, AUSTRIA

The WU Tax Law Technology Conference confirms an agentic-AI-in-tax-workflows theme for its 2027 edition. Its page currently gives the dates and theme, states that the paper call is closed, and lists earlier programmes separately.

I would investigate it for tax-technology teams working alongside domain specialists. Ask how a proposed action connects to source evidence, who reviews the interpretation and what record remains.

Its specialisation may limit its value for a general platform architect. Request the developing programme and attendance details; the linked 2026 agenda describes a past edition.

4. AI Summit North America: connect agent capability to business ownership

30 MARCH–1 APRIL 2027 | CHULA VISTA, CALIFORNIA

Formerly the Agent & Copilot Summit, AI Summit North America now uses a broader name and confirms Gaylord Pacific on the Chula Vista waterfront in the San Diego area. Its announced masterclass themes include building agents, orchestration and workflows, access control and governance.

I would examine it for a process owner implementing agents within the Microsoft ecosystem. The question is how a capability changes an actual job: which work disappears, which checks remain and who supports the workflow when an employee hands a task over.

Check which announced themes become scheduled training. This event overlaps Atlanta on 31 March–1 April, so decide whether enterprise implementation or agent-system architecture deserves priority.

Pro Tip: compare the same action at both kinds of event

Use a concrete example, such as an agent updating a customer record. Ask engineers how the action is authorised and recorded, and ask business leaders who approves its scope and handles an incorrect change; the answers should connect.

5. Optimized AI Conference: assess the architecture community

31 MARCH–1 APRIL 2027 | ATLANTA, GEORGIA

The Optimized AI Conference 2027 programme confirms Cobb Galleria Centre and a two-day format, with hands-on workshops planned for the second afternoon. The event’s stated theme is architecting agentic AI systems, while the detailed 2027 programme is being finalised.

I would shortlist it for engineers who want to compare design approaches with a wider practitioner community. Ask when additional agents improve a system and when they merely add coordination, state and debugging work that a simpler design could avoid.

The homepage labels its detailed workshop examples as OAI 2026, with the new syllabus forthcoming. Use those examples to judge the organiser’s previous technical emphasis, then verify the 2027 subjects and your pass inclusions before selecting a workshop.

6. Warsaw: examine the data and agent boundary together

21–22 APRIL 2027 | WARSAW, POLAND + ONLINE

The Data & AI Warsaw Tech Summit topic outline explicitly includes multi-agent orchestration, retrieval, evaluation and LLM observability, alongside data platforms and governance. Its dates use a split format: 21 April is hybrid, while 22 April is online only.

I would favour this combination when the agent team depends on a separate data or platform team. An execution trace may show that a task failed, but you still need to establish whether the cause sits in retrieval, permissions, tool behaviour or the agent’s decisions.

Because the conference covers several disciplines, check that the eventual sessions give your specific issue enough depth. A broad topic outline supports a shortlist, while a named agenda is needed to plan exactly what you will attend.

Use the programme to identify what is missing

For security depth, I would use the OWASP AI Agent Security Cheat Sheet to frame questions about tool permissions, human approval, memory protection and monitoring. Ask which controls a session actually demonstrates and what evidence you can examine afterward.

For evaluation, ask whether the proposed tests cover the actions taken along the way as well as the final response. For observability, ask what you could reconstruct when a task crosses several tools and the outcome is wrong.

If your issue extends into wider model operations, use my AI deployment events guide to widen the comparison. My Visegrad AI events guide supplies regional alternatives when an agent-only focus is too narrow for your work.

For a trip centred on the US East Coast, consult my New York AI calendar for local engineering and enterprise options. Keep the same distinction between building an agent and deciding how an organisation will use it.

Where I would start for your role

For a Python developer needing structured practice, I would investigate OST first; for an architect seeking a broader technical community, Atlanta deserves attention once its syllabus is published. Data and platform engineers should examine Warsaw’s agent, observability and infrastructure coverage together.

For enterprise process owners working with Microsoft technologies, I would explore AI Summit North America. Marketing and agency leaders should consider JETZT, while tax-technology professionals and researchers should investigate WU’s specialist programme.

A security or governance lead should compare specific control coverage at OST, Warsaw and the enterprise summit before choosing. I would base that decision on published sessions and access to relevant practitioners, rather than assume every agent-branded event addresses the same risks.