Dec 2–3, 2026 · New York City · In person

ODSC AI NYC— AI for Work Summit —

AI Has Changed. Workflows Haven’t.

Join AI builders, business practitioners, and leaders in Midtown NYC for a two-day, workshop-driven summit on moving AI from scattered adoption to real workflow change.

Four tracks for the people making AI useful at work: Build, Apply, Lead, and AI Engineering Fundamentals.

Up to 450 seats. Workshop capacity is limited.

📅 December 2–3, 2026📍 Jay Conference Center Bryant Park🗽 New York City · In Person

Our training summits have helped launch thousands of AI careers across a decade of ODSC AI East and West. The people we trained on data science and ML in 2016 are the AI leads of 2026.

joined by practitioners and leaders from

Choose Your Track

Four tracks. One shared goal: make AI useful inside real workflows.

ODSC AI NYC is organized by what you are responsible for at work — not by vendor, model, or hype cycle. Choose the track that matches your role, or bring a team across tracks and leave aligned on what to build, test, change, or stop doing next.

Build

For experienced AI practitioners and technical teams

For AI engineers, data scientists, ML engineers, architects, and technical practitioners building agents, copilots, RAG systems, evals, observability, and production AI workflows.

What you’ll work on

  • Making agent workflows reliable enough for production
  • Building eval suites your team will actually run
  • Instrumenting agents for observability
  • Improving retrieval over messy, permission-sensitive enterprise data
  • Choosing models based on cost, latency, quality, and risk

You’ll leave with: Practical patterns for observability, evaluation, routing, retrieval, and system design that you can bring back to your team.

Apply: AI in Your Workflow

For business practitioners who want to use AI in their own work — no code required

For sales, marketing, finance, operations, HR, and other business practitioners who want to apply AI to real tasks, documents, handoffs, and recurring workflows.

What you’ll work on

  • Delegating real tasks to AI without redoing the work
  • Turning files, documents, and source material into finished deliverables
  • Mapping where AI can remove friction from your function
  • Building repeatable workflows instead of one-off prompts
  • Creating quality-control practices for AI-assisted work

You’ll leave with: A workflow map, a delegation checklist, and practical ways to apply AI to your own function.

Lead

For executives, AI leaders, data leaders, founders, and adoption owners

For leaders responsible for funding, governing, measuring, and scaling AI adoption across teams and organizations.

What you’ll work on

  • Measuring AI value when the baseline was never captured
  • Building governance that does not block every team
  • Managing risk, review processes, and human oversight
  • Deciding which AI efforts to scale, change, or stop
  • Creating operating models that help more than one team move forward

You’ll leave with: A practical approach to measurement, governance, and a 90-day AI adoption roadmap.

AI Engineering Fundamentals

For AI users who want to understand how modern AI systems are built

For people using AI daily who want structured, hands-on exposure to LLMs, APIs, agents, RAG, evals, observability, cost, routing, and guardrails.

What you’ll work on

  • Moving from simple prompting to structured AI applications
  • Understanding context engineering and RAG
  • Building your first agent
  • Adding evals and observability
  • Understanding production constraints like cost, latency, routing, and guardrails

You’ll leave with: Direct experience working through the building blocks behind modern AI systems.

Bring My Team → Ask About Team Passes

First Instructors Announced

The first group of practitioners, engineers, and researchers confirmed for ODSC AI NYC. More instructors and session titles are added as they are confirmed.

More instructors coming soon
More coming soonNew instructors added as confirmed

More instructors coming soon

Session titles and additional practitioners are added weekly.

Bring Your Team. Leave With One Plan.

AI adoption is cross-functional. The engineer, the business operator, and the executive rarely need the same session — but they do need the same plan.

At ODSC AI NYC, each person can train in the track that fits their role:

  • Engineers and technical teams go deep in Build
  • Business practitioners apply AI to real work in Apply: AI in Your Workflow
  • Leaders work through governance, ROI, and adoption in Lead
  • Newer AI builders get the foundations in AI Engineering Fundamentals

The two days close by bringing everyone back to the same question: what should your team build, test, change, or stop doing next?

Team passes

Best for teams of 3 or more across AI, data, product, operations, and leadership.

Ask About Team Passes

How the Tracks Fit Together

Across all four tracks, the program focuses on the same challenge: turning AI adoption into real workflow change.

Agents, Copilots & Workflow Automation

Where agents and copilots actually help work move faster — and where they still break.

Evals, Trust & Governance

How teams evaluate outputs, manage risk, and decide what is safe enough to use.

Workflow Redesign

How AI changes handoffs, approvals, deliverables, team responsibilities, and recurring work.

Measurement & ROI

How teams move beyond “we deployed AI” to adoption, quality, speed, cost, and business value.

Production AI Systems

How technical teams build, monitor, route, and improve AI systems used in real workflows.

Practitioners working on laptops during an ODSC AI workshop session
Hands-on workshops.Build alongside other practitioners in workshop-style sessions on agents, evals, and production AI workflows.

Two Days Built Around Working Sessions

One hour of shared context. Then the tracks begin.

Day 1 — Shared Context, Then Track Workshops

9:00–10:00 · Everyone Together

  • A shared opening on why AI adoption has outpaced workflow change — and the frameworks used across the summit.

10:30 onward · Four Tracks Begin

Working sessions
  • Build: agents, evals, RAG, observability, and AI engineering in production
  • Apply: AI in Your Workflow: no-code working sessions for sales, marketing, finance, operations, and HR
  • Lead: governance, measurement, adoption, and operating models
  • AI Engineering Fundamentals: a structured beginner sequence from foundations to a running agent

Evening

  • Networking reception for all attendees
  • VIP dinner with speakers and instructors for Leadership Plus pass holders

Day 2 — Deeper Implementation and Team Planning

  • Function labs and workflow sessions
  • Agent, evals, and context-engineering workshops
  • Governance and measurement working sessions
  • Fundamentals sequence continues
  • Closing session: your 90-day build/test/change roadmap

What You’ll Leave With

Every track is designed around practical takeaways, not passive listening.

Build

You’ll leave with:
  • Patterns for building more reliable agents and AI workflows
  • A practical approach to evals and observability
  • Better ways to reason about retrieval, routing, cost, latency, and quality

Apply: AI in Your Workflow

You’ll leave with:
  • A workflow map for your function
  • A delegation checklist for AI-assisted work
  • A clearer view of what to automate, what to review, and what to keep human

Lead

You’ll leave with:
  • A 90-day AI adoption roadmap
  • A measurement approach for value and ROI
  • Governance and review patterns that help teams move without starting over

AI Engineering Fundamentals

You’ll leave with:
  • A practical understanding of LLMs, agents, RAG, evals, and guardrails
  • Direct experience with the building blocks behind AI applications
  • A clearer path for what to learn or build next
Attendee asking a question with a microphone during a session
Real conversations, not one-way keynotesWorkshops, labs, and open discussion — build alongside people solving the same problems, then compare what actually worked.

Explore the Preliminary Program by Track

A working view of the two-day agenda. Filter by track, day, or level.

12 sessions shown — sessions are added and speakers named as they are confirmed. Every workshop is designed around a practical artifact, workflow, or implementation pattern.

Day 110:00–11:30Apply: AI in Your WorkflowHands-on LabBusiness / No Code

Delegating Real Work to AI

Choose the right task to hand off, give better context, review the output, and decide what should stay human.

ODSC AI Instructor
Day 111:45–13:00Apply: AI in Your WorkflowHands-on LabBusiness / No Code

Files, Docs & Deliverables

Use AI to turn source material into reports, briefs, decks, spreadsheets, summaries, or decision memos — with review and judgment still in the loop.

ODSC AI Instructor
Day 114:00–15:30Apply: AI in Your WorkflowHands-on LabBusiness / No Code

Making AI Work Repeatable

Move from one-off prompts to repeatable workflows by documenting the steps, prompts, review points, handoffs, and tools.

ODSC AI Instructor
Day 210:00–11:30Apply: AI in Your WorkflowFunction LabBusiness / No Code

Function Lab: Sales & Marketing

Pipeline prep, account research, campaign drafts, call follow-ups, customer summaries, and team handoffs.

ODSC AI Instructor
Day 210:00–11:30Apply: AI in Your WorkflowFunction LabBusiness / No Code

Function Lab: Finance & Ops

Reporting packs, reconciliations, vendor reviews, process documentation, recurring analysis, and controls-aware workflows.

ODSC AI Instructor
Day 210:00–11:30Apply: AI in Your WorkflowFunction LabBusiness / No Code

Function Lab: HR & People

Job descriptions, screening summaries, policy answers, onboarding docs, employee communications, and people workflows where judgment stays human.

ODSC AI Instructor
Day 214:00–15:30Apply: AI in Your WorkflowHands-on LabBusiness / No Code

Working With a Team

Set rules for delegation, review, ownership, off-limits work, and how AI-assisted workflows get adopted across a team.

ODSC AI Instructor
Day 110:00–11:30AI Engineering FundamentalsWorkshopTechnical Beginner

Fundamentals 1: LLM & Agent Foundations

Start with the basic building blocks behind AI applications: API calls, structured outputs, tool use, and simple agent loops — the difference between prompting a model and building a repeatable AI workflow.

ODSC AI Instructor
Day 111:45–13:00AI Engineering FundamentalsWorkshopTechnical Beginner

Fundamentals 2: Context Engineering & RAG

Learn how AI systems use external information: documents, chunking, embeddings, retrieval, context assembly, and the practical limits of RAG with real internal data.

ODSC AI Instructor
Day 114:00–15:30AI Engineering FundamentalsWorkshopTechnical Beginner

Fundamentals 3: Building a Simple Agent

Move from single prompts to multi-step tasks: planning, tool use, memory, failure handling, and where an agent is useful — and where a simpler workflow is the better answer.

ODSC AI Instructor
Day 210:00–11:30AI Engineering FundamentalsWorkshopTechnical Beginner

Fundamentals 4: Evals & Observability

A demo that works once is not enough. Test AI outputs, create evaluation examples, trace agent behavior, monitor failures, and decide whether a system is improving or getting worse.

ODSC AI Instructor
Day 211:45–13:00AI Engineering FundamentalsWorkshopTechnical Beginner

Fundamentals 5: Production Basics: Cost, Routing & Guardrails

Model selection, routing, caching, latency, cost, guardrails, and basic risk controls — what changes when an AI workflow moves closer to production.

ODSC AI Instructor

Preliminary program. Session titles, formats, and speakers are subject to change as the agenda is finalized.

Choose Your Pass

Select the pass that fits how you want to experience ODSC AI NYC.

Open Pass
$0

For selected open sessions and limited networking.

Reserve Open Pass
Leadership Plus Pass
$699 Early Bird

For attendees who want the full summit plus VIP dinner and deeper networking.

  • Everything in Training Pass
  • Speaker and VIP dinner
  • Priority networking opportunities
  • Access to invited guests, speakers, instructors, and partners
Reserve Leadership Plus Pass
Bringing 3 or more people?

Bring your AI, product, data, operations, or leadership team and leave with a shared 90-day AI workflow plan.

Ask About Team Passes

What past ODSC AI attendees say about us

A great learning experience diving into MSFT Copilot Foundry, MCP, and building agents with Claude Code. The sessions on scaling AI adoption in the enterprise provided practical, real-world perspectives that go far beyond the hype. I'm walking away with actionable ideas to put into practice immediately.
Aishwarya Madenahalli RanganathaGenAI Product Lead · Intelligent Experiences
It's a thrill to learn from top AI and data science experts and immediately turn those insights into working prototypes.
Kah Wang TanData Scientist · Ministry of Defence of Singapore
ODSC AI East 2026 provided an incredible deep dive into cutting-edge AI—from the math behind LLMs and Agentic AI to production-grade MLOps with PyTorch and Kubernetes. The hands-on focus on GraphRAG, fine-tuning, and context engineering delivered immediate value and practical tools.
Amirreza KalantariInformation Science
The conference centered on trust and performance – specifically how we verify AI and build scalable infrastructure. The emphasis on strong data foundations highlighted just how fast this space is evolving.
Don Vetal 3rdData Geek · Data Scientist | AI Architect
A great learning experience diving into MSFT Copilot Foundry, MCP, and building agents with Claude Code. The sessions on scaling AI adoption in the enterprise provided practical, real-world perspectives that go far beyond the hype. I'm walking away with actionable ideas to put into practice immediately.
Aishwarya Madenahalli RanganathaGenAI Product Lead · Intelligent Experiences
It's a thrill to learn from top AI and data science experts and immediately turn those insights into working prototypes.
Kah Wang TanData Scientist · Ministry of Defence of Singapore
ODSC AI East 2026 provided an incredible deep dive into cutting-edge AI—from the math behind LLMs and Agentic AI to production-grade MLOps with PyTorch and Kubernetes. The hands-on focus on GraphRAG, fine-tuning, and context engineering delivered immediate value and practical tools.
Amirreza KalantariInformation Science
The conference centered on trust and performance – specifically how we verify AI and build scalable infrastructure. The emphasis on strong data foundations highlighted just how fast this space is evolving.
Don Vetal 3rdData Geek · Data Scientist | AI Architect
The conference centered on trust and performance – specifically how we verify AI and build scalable infrastructure. The emphasis on strong data foundations highlighted just how fast this space is evolving.
Don Vetal 3rdData Geek · Data Scientist | AI Architect
ODSC AI East 2026 provided an incredible deep dive into cutting-edge AI—from the math behind LLMs and Agentic AI to production-grade MLOps with PyTorch and Kubernetes. The hands-on focus on GraphRAG, fine-tuning, and context engineering delivered immediate value and practical tools.
Amirreza KalantariInformation Science
It's a thrill to learn from top AI and data science experts and immediately turn those insights into working prototypes.
Kah Wang TanData Scientist · Ministry of Defence of Singapore
A great learning experience diving into MSFT Copilot Foundry, MCP, and building agents with Claude Code. The sessions on scaling AI adoption in the enterprise provided practical, real-world perspectives that go far beyond the hype. I'm walking away with actionable ideas to put into practice immediately.
Aishwarya Madenahalli RanganathaGenAI Product Lead · Intelligent Experiences
The conference centered on trust and performance – specifically how we verify AI and build scalable infrastructure. The emphasis on strong data foundations highlighted just how fast this space is evolving.
Don Vetal 3rdData Geek · Data Scientist | AI Architect
ODSC AI East 2026 provided an incredible deep dive into cutting-edge AI—from the math behind LLMs and Agentic AI to production-grade MLOps with PyTorch and Kubernetes. The hands-on focus on GraphRAG, fine-tuning, and context engineering delivered immediate value and practical tools.
Amirreza KalantariInformation Science
It's a thrill to learn from top AI and data science experts and immediately turn those insights into working prototypes.
Kah Wang TanData Scientist · Ministry of Defence of Singapore
A great learning experience diving into MSFT Copilot Foundry, MCP, and building agents with Claude Code. The sessions on scaling AI adoption in the enterprise provided practical, real-world perspectives that go far beyond the hype. I'm walking away with actionable ideas to put into practice immediately.
Aishwarya Madenahalli RanganathaGenAI Product Lead · Intelligent Experiences

Submit a Session

The ODSC AI NYC program is built from practitioner work, not vendor decks. If you are building agents, running evals, redesigning workflows, or leading AI adoption inside a real organization, we want your session. Submissions are reviewed on a rolling basis until the program fills.

Talks

30–40 minutes. A case study, architecture walkthrough, or lessons-learned session on something you shipped — with the numbers and the failures included.

Workshops

90–180 minutes, hands-on. Attendees build alongside you and leave with working code, a repo, or a repeatable workflow.

Tutorials

45–60 minutes, teaching-focused. Take a room from zero to competent on one tool, pattern, or evaluation method.

Speaker Lineup — Being Announced

Sessions and speakers are added to the program as they are confirmed. Submit your own or point us to someone whose work belongs on stage.

Partners & Sponsors

ODSC AI NYC partners reach a room of practitioners, product leaders, and executives actively selecting and deploying AI tooling — through hosted talks, workshops, roundtables, demos, and VIP networking rather than a booth on an expo floor.

Speak to buyers, not passers-by

Hosted sessions and workshops in front of teams with live agent, copilot, and platform initiatives.

Curated introductions

Roundtables, the VIP dinner, and matchmaking with attendees matching your target profile.

Limited partner slots

A deliberately small partner cohort so each one gets real visibility across the two days.

Your logo here
Partner slot
Partner slot
Partner slot
Partner slot
Partner slot

From the Team Behind ODSC AI

ODSC has spent more than a decade bringing together the people building and applying data science, machine learning, and AI. ODSC AI NYC builds on that community with a focused summit for the next phase of applied AI: agents, copilots, workflows, evaluation, governance, and enterprise deployment.

Built for practitioners and technical leaders

Designed for both builders and decision-makers

Grounded in applied AI and real-world use cases

Connected to the broader ODSC AI event community

Jay Conference Center Bryant Park — main event hall

Venue

ODSC AI NYC will take place at Jay Conference Center Bryant Park, 109 West 39th Street, New York City.

Located in Midtown Manhattan, the venue is close to Bryant Park, Times Square, Penn Station, Grand Central, major subway lines, hotels, restaurants, and offices across Midtown.

Frequently Asked Questions

Which track should I choose?

  • Choose Build if you are an experienced technical practitioner building agents, evals, RAG systems, or production AI workflows.
  • Choose Apply: AI in Your Workflow if you work in sales, marketing, finance, operations, HR, or another business function and want to use AI in your own work without writing code.
  • Choose Lead if you are responsible for AI adoption, governance, ROI, risk, budgets, or team strategy.
  • Choose AI Engineering Fundamentals if you use AI regularly and want to understand how modern AI systems are built, evaluated, and deployed.

If you are attending with colleagues, split across tracks and regroup around the 90-day roadmap.

What is ODSC AI NYC?

A two-day in-person AI for Work Summit focused on agents, copilots, workflows, evaluation, governance, and enterprise AI deployment.

Who should attend?

AI practitioners, engineers, product leaders, operators, executives, founders, and teams responsible for bringing AI into real workflows.

Is this a technical event or a business event?

Both. The summit connects technical implementation with business adoption, governance, and measurable value.

Will there be hands-on workshops?

Yes. The program will include practical demos and workshop-style sessions. Details will be announced as the agenda is finalized.

Where is the event?

Jay Conference Center Bryant Park, 109 West 39th Street, New York City.

What is included in the Leadership Plus Pass?

Everything in the Training Pass plus access to the speaker and VIP dinner, priority networking opportunities, and access to invited guests, speakers, and partners.

Are sponsorship opportunities available?

Yes. ODSC AI NYC offers limited sponsor opportunities focused on hosted talks, workshops, panels, roundtables, networking, VIP dinners, and curated demos.

Two Days. Four Tracks. One Practical Plan.

If your organization has AI tools in use but the work itself still needs to change, ODSC AI NYC is built for that next stage. Join us December 2–3 in Midtown Manhattan for a workshop-driven summit on making AI useful inside real teams and organizations.