Machine Learning Lifecycle 2021 Conference
Cognilytica’s Machine Learning Lifecycle Virtual Conference is a three day online experience January 26-28, 2021 focused on the machine learning lifecycle including ML Operations, building models, and model management!
Machine Learning Lifecycle 2021 Conference

Cognilytica’s Machine Learning Lifecycle Virtual Conference is a three day online experience January 26-28, 2021 focused on the machine learning lifecycle including ML Operations, building models, and model management! We've found virtual conferences that try to recreate the experience of in-person events really miss the mark. Cognilytica's Machine Learning Lifecycle for AI Conference is different - and so much better! Over the course of three days the event will combine live webinar-style panel engagements with pre-recorded presentations, opportunities to connect with speakers and sponsors through “ask-me-anything” style expert sessions, demo showcases, and unique experiences for attendees, speakers, sponsors, and all participants.

Content is meant to be consumed around your schedule, not a predetermined schedule created for you. Main focus areas are around government, technology, and industry and main topic areas will be on ML model development, ML model management, MLOps, ML model governance, and general sessions.

WHERE: Online

WHEN: Tuesday through Thursday, Jan. 26-28, 2021

HOW MUCH: FREE to Attend

Five Topics:

  • ML Model Development
  • ML Model Management
  • ML Operations (MLOps)
  • ML Model Governance
  • All other Model-related Topics

Three Tracks:

  • Industry Applications
  • Government and Public Sector Sessions
  • Technology Deep Dives

View Sessions
Presenters & Panelists
Harrison Smith

Director, Enterprise Digitalization at Internal Revenue Service (IRS)

Justin Marsico

Chief Data Officer, Deputy Assistant Commissioner, Bureau of the Fiscal Service

Keith Nakasone

Deputy Assistant Commissioner | Acquisition, Office of Information Technology Category (ITC) Federal Acquisition Service (FAS), U.S. General Services Administration (GSA)

Mark Persaud

Emerging Experiences at the Moonshot Innovation Outpost by Pactera EDGE

Rajeev Dolas

Chief Technology Officer, National Highway Traffic Safety Administration NHTSA

Renata Spinks

Cyber Technology Officer, U.S. Marine Corps Forces Cyberspace Command

Sanjay Gupta

Chief Technology Officer, U.S. Small Business Administration

Sarah Gadd

Head of Semantic Technology, Analytics and Machine Intelligence at Credit Suisse

Tim Persons

Chief Scientist and Managing Director of the Science, Technology Assessment, and Analytics team at U.S. Government Accountability Office (GAO)

Tyler Kleycamp

State CDO Network and Former Chief Data Officer (CDO) of Connecticut

Vamsi Nellutla

Associate Director, UnitedHealth Group; President, Dallas Data Science Academy

Ylan Kazi

Vice President, Data Science + Machine Learning, UnitedHealth Group

Sponsors & Partners

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