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Conferences / MLCon (ML Conference)

MLcon New York 2026

Sep 28, 2026 – Oct 2, 2026 · New York Marriott at the Brooklyn Bridge, New York, NY, United States

Conference
MLCon (ML Conference) Data science & ML
Dates
Sep 28, 2026 – Oct 2, 2026
Venue
New York Marriott at the Brooklyn Bridge
Place
New York, NY, United States
Format
Hybrid
Status
Past
Attendance
—
Website
mlconference.ai
Recorded
0 sponsors · 51 speaker appearances
Notes
Hybrid ('New York or Online'); workshop days September 28 and October 1, conference days September 29-30, bootcamp days October 1-2; part of the 'devmio New York Week'. No sponsors were listed for this edition in the organizer's partner database. Prices are regular list prices excluding tax ('instead of' prices). Speakers: every program session listed for this edition in the organizer's program database (as rendered on the program/archive pages); role follows the session type (keynote/workshop/session).

Ticket prices

TicketPriceValid untilNotesSource
Workshop Day$799—regular priceweb.archive.org
2-Day Pass$1,499—regular priceweb.archive.org
Bootcamp Pass$1,599—regular priceweb.archive.org
3-Day Pass$1,899—regular priceweb.archive.org
4-Day Pass$2,399—regular priceweb.archive.org
All Conference Days + Bootcamp Days$2,699—regular price; from USD 2,429 incl. team discountweb.archive.org

Sponsors 0

No sponsors recorded

Speakers and talks 51

SpeakerCompanyRoleTalkLinks
Dilpreet BindraVMwareKeynoteThe evolution to Platform Engineering 2.0—
Dr. Patrick SmythChainguardKeynoteEvery Eng a CTO: Technical Leverage in the Agentic Organization—
John WillisBotchagalupe TechnologiesKeynoteWhen AI agents go rogue: DevOps lessons from the rise of polymorphic AI—
Legare KerrisonRed HatKeynoteBuilding with Open Source AI: A Crash Course—
Russell MilesTechTalkKeynoteAI Literacy for Developers: Thinking Clearly While AI Writes the Code—
Sean KunklerObserve by SnowflakeKeynoteThe OpenTelemetry Collector: A Data Pipeline You Actually Own—
Sebastian MeyenSoftware & Support Media GmbHKeynoteWelcome and Opening Keynote of MLcon New York 2026—
William MorganBuoyant, IncKeynoteWhy not just run it ourselves? Self-hosting AI for fun and for profit—
Agata ChudzinskatheBlue.ai GmbHSpeakerBuilding AI That Learns and Adapts: A Case Study in MRI Diagnostics—
Agata ChudzinskatheBlue.ai GmbHSpeakerVoice Agents - Where Latency Hides and How to Fight It—
Akshay PratinavIntuitSpeakerAI-Powered Service Operations: Intuit's Incident Management Story—
Akshay PratinavIntuitSpeakerRoundtable Discussion at the AI Platform Engineering Day—
Archana KatariaIntuitSpeakerRoundtable Discussion at the AI Platform Engineering Day—
Archana KatariaIntuitSpeakerAI-Powered Service Operations: Intuit's Incident Management Story—
Barry StahlAZNerds.netSpeakerWhen You Don't Need an LLM: Deterministic Intelligence for Real World Apps—
Barry StahlAZNerds.netSpeakerThe Future of Information Retrieval: A Deep-Dive into RAG—
Barry StahlAZNerds.netWorkshopLLMs Under the Hood—
Brett SmithSASSpeakerAgents and MCP Servers: Are the Electric Sheep Safe?—
Chai BhatBlack DuckSpeakerAI Broke AppSec — Rethinking Security in the Mythos Era—
David Roldán MartínezIndependent ConsulantSpeakerAI Trustworthy by Design: A Practical Path to ISO/IEC 42001 and Other AI Governance Standards [no livestream]—
David Roldán MartínezIndependent ConsulantSpeakerRoundtable Discussion at the AI Platform Engineering Day—
David Roldán MartínezIndependent ConsulantSpeakerBeyond the Hype: How to Lead, Govern, and Scale AI Responsibly—
Dr. Patrick SmythChainguardSpeakerEndless Runner: Agentic Pipelines for an OS Supply Chain—
Dr. Pieter ButeneersEmma LegalWorkshopAI Product Validation Day - From Idea to Validation—
Dr. Pieter ButeneersEmma LegalSpeakerProduct Innovation in the Age of GenAI—
Francesco EspositoYoubiquitousSpeakerUnified Architecture for Structured and Unstructured Data Querying [no livestram]—
Francesco EspositoYoubiquitousSpeakerDesigning Production-Ready Agentic Systems: Lessons from the Field—
Garima BajpaiCanada DevOps Community of PracticeSpeakerRoundtable Discussion at the AI Platform Engineering Day—
Garima BajpaiCanada DevOps Community of PracticeSpeakerCANCELLED: AI - Is it a threat, tool, or transformation partner?—
Garima BajpaiCanada DevOps Community of PracticeSpeakerOpening of the AI Platform Engineering Day—
Garima BajpaiCanada DevOps Community of PracticeSpeakerThe Leader’s Role in Orchestrating AI-Native platform—
Garima BajpaiCanada DevOps Community of PracticeWorkshopStrategic AI Workshop for Leaders—
Gil FinksparXysSpeakerEngineering Interactive AI with WebMCP and MCP Apps—
Harish VundavalliStrategic Education INCSpeakerFrom blind spots to baselines: building observable, self-healing API ecosystems—
Harish VundavalliStrategic Education INCSpeakerRoundtable Discussion at the AI Platform Engineering Day—
Hemasundara Reddy LankaPublicis SapientSpeakerBuilding Trusted AI with API-Driven Enterprise Architectures: From Data Governance to Intelligent Automation—
John DaviesIncept5WorkshopHands-On Bootcamp: Vibe Coding & GenAI Development Day 1—
John DaviesIncept5WorkshopHands-On Bootcamp: Vibe Coding & GenAI Development Day 2—
John DaviesIncept5SpeakerThe LLM Smörgåsbord [no livestream]—
John DaviesIncept5SpeakerBreaking Down an LLM for Its Parts—
Miguel Caballero PintoDigibleSpeakerArchitecting for AI Agents: Letting Designers Ship [no livestream]—
Mithil PatelEquinixSpeakerWhen AI Loses Context: A Zero Trust Blueprint for AI Agents in Kubernetes—
Omer FarooqAuxin SecurityWorkshopGenAI Security Workshop: Secure Your LLM-Powered Enterprise—
Pushkar GargSalesforceSpeakerEvaluating AI Agents for the Enterprise at Salesforce—
Russell MilesTechTalkWorkshopTwo Day Mastering Platform Engineering – From Design to Value - Day 1—
Russell MilesTechTalkWorkshopTwo Day Mastering Platform Engineering – From Design to Value - Day 2—
Ryan LaflerPremier IncSpeakerBuilding Reproducible Machine Learning Workflows: Best Practices with Git, GitHub, Data Version Control (DVC), and MLflow [no livestream]—
Ryan LaflerPremier IncWorkshopMastering AI Systems with Python: Building Intelligent Workflows with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG)—
Sanjana AruneBaySpeakerThe Reliability Illusion: Why Enterprise AI Fails Even When Accuracy Improves—
Suvendu MohantyAmazon Web ServicesSpeakerThe 97% Compression Playbook: Vector Quantization and Two-Phase Retrieval for Production AI [no livestream]—
Tomas GonzalezFossIDSpeakerDon't Let AI Become Your Next Source of DevOps Debt—

Sources