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Conferences / MLCon (ML Conference)

MLcon New York 2025

Sep 29, 2025 – Oct 3, 2025 · New York Marriott at the Brooklyn Bridge, New York, NY, United States

Conference
MLCon (ML Conference) Data science & ML
Dates
Sep 29, 2025 – Oct 3, 2025
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 · 35 speaker appearances
Notes
Hybrid ('New York or Online'); conference days September 30 - October 1; part of the 'devmio New York Week' (upgrade USD 250). Sponsor lists on the archived pages are rendered by script and could not be recovered. 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
Conference Day$799—regular priceweb.archive.org
2-Day Ticket$1,499—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$2,669—regular price; from USD 2,429 incl. team discountweb.archive.org

Sponsors 0

No sponsors recorded

Speakers and talks 35

SpeakerCompanyRoleTalkLinks
Dr. Pieter ButeneersEmma LegalKeynoteProduct Innovation in the Age of GenAI—
Garima BajpaiCanada DevOps Community of PracticeKeynoteCharting the Way Forward for AI-Native Software Organizations—
Kierra DotsonThe Data BloqKeynoteInfrastructure Patterns for Reasoning Models: DevOps Challenges Beyond Traditional MLOps—
Russell MilesTechTalkKeynoteHow Developer Platforms Fail (And How Yours Won’t)—
Sebastian MeyenSoftware & Support Media GmbHKeynoteWelcome and Opening Keynote of MLcon New York 2025—
Steve KaramPerforce DelphixKeynoteFrom DevOps to MLOps: Turning Legacy Data into AI Gold—
Aakash SinghalEllofantSpeakerProtecting Your AI Agents from Threats [no livestream]—
Aarohi TripathiSenior Data EngineerSpeakerOptimizing Data Pipeline Architectures for AI and Machine Learning—
Apurva MisraSentickWorkshopWorkshop: From RAG to Agentic Deep Research: Building Iterative AI Search Systems for Comprehensive Report Generation—
Barry StahlAZNerds.netSpeakerLLM Embeddings - Not Magic, Just Math—
Cigil AchenkunjuIndependent ConsultantSpeakerGenerative AI Operation Evaluation Framework—
David Roldán MartínezIndependent ConsulantSpeakerFrom consumers to collaborators: APIs for Agentic AI—
Debjyoti PaulAmazon Web ServicesSpeakerAttention Is All We Need—Unpacking the Core of Transformer Architectures [no livestream]—
Debjyoti PaulAmazon Web ServicesWorkshopWorkshop: A Primer on Computer Vision - Edge Detection to Diffusion Models—
Diana StaleyQuantum Dynamic PartnersSpeaker[Canceled] Risk management revolution: Using predictive AI to stay two steps ahead—
Dr. Pieter ButeneersEmma LegalWorkshopAI Product Strategy Day—
Francesco EspositoYoubiquitousSpeakerBuilding an Agentic RAG Pipeline—
Francesco EspositoYoubiquitousSpeakerDesign of an Agentic System: Tips from the Trenches—
Garima BajpaiCanada DevOps Community of PracticeWorkshopOperationalizing AI Workshop - Leadership Sprints—
Hardik JagdaProximity WorksSpeakerBuilding AI Products for Sports, Media, & Entertainment—
Jay ShahCanada DevOps Community of PracticeSpeakerSecuring AI : Accelerating Business Innovation and Growth—
Jay ShahCanada DevOps Community of PracticeWorkshopOperationalizing AI Workshop - Leadership Sprints—
Kalpan DharamshiIEEE Computer Society MemberSpeakerImportance of XAI in Machine Learning—
Laurie LayIppon TechnologiesSpeakerRage Against the Python Machine: Building a New Generation of Node.js ML—
Nathan BeachGoogleSpeakerHow to use Kubernetes to Save Money and Maximize Performance of ML Serving—
Nir KaufmanTikalWorkshopAI Agent Bootcamp: LLMs Development with TypeScript - Day 2—
Nir KaufmanTikalWorkshopAI Agent Bootcamp: LLMs Development with TypeScript - Day 1—
Nisha IyerCanada DevOps Community of PracticeSpeakerAgentic AI vs. AI Agents: Decoding the Future of Autonomy—
Oz KatzTreeverseSpeakerCode, Environment, Data: The Holy Trinity of Reproducible ML models with MLflow [CANCELED]—
Shankar KrishnanAmazon Web ServicesSpeakerBest practices in building and scaling ML APIs—
Shikhar KwatraOpenAISpeakerTurbocharging GenAI Adoption: The Dual Engine of Eval-Driven Development and Lean Model Distillation—
Smarth BehlMetaSpeakerBuilding and Deploying AI at Scale: Lessons from Industry—
Sohag MaitraRabobankSpeakerFrom Data Silos to AI Excellence: Building Enterprise Feature Stores on Unified Foundations—
Suvendu MohantyAmazon Web ServicesSpeakerFrom GPU Burn‑Rate to Budget‑Friendly: Real‑World Hacks for SFTing Huge LLMs—
Taeyang KimPatternSpeakerFrom Model to Market: Deploying Generative AI Video & Audio Systems at Scale—

Sources