Machine Learning Lifecycle 2021 Conference

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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

Event Sponsors & Partners

Event Location

Featured Speakers

Adita Karkera

Adita Karkera has over 20 years’ experience in business and information technology. She has a proven record of successes in implementing data strategies, policies &

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Aditi Saluja

Aditi is responsible for designing and delivering highly scalable machine learning and analytics solutions for the best network experience for T-Mobile customers. While I drive

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Agus Sudjianto

Agus Sudjianto is an executive vice president, head of Model Risk and a member of Management Committee at Wells Fargo, where he is responsible for

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Ahmer Inam

Ahmer Inam is Chief AI Officer (CAIO) at Pactera EDGE where he leads organizational transformation using artificial intelligence and human-centric design principles. He uses design

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Anne Bauer

Anne is a Director of Data Science at The New York Times, where she heads the Algorithmic Recommendations team. The Algo Recs team uses machine

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Ariel Biller

Researcher first, Developer second, In the last 5 years Ariel worked on various projects from the realms of quantum chemistry, massively-parallel supercomputing and deep-learning computer-vision.

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Augustine “Gus” Walker

Gus (Augustine) Walker currently serves as a Senior Director of Product Management for Veritone overseeing a business unit focused on providing AI products and services

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Ayodele Odubela

Ayodele Odubela is a Data Science Advocate for Comet ML. She combines her background in marketing and passion for data and analytics to educate Data

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Bich-Thuy Le

Bich-Thuy Le has a passion for innovative technology solutions and finds challenges irresistible. She has over 20 years of diverse experience working with executives from

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Brandon Gilmore

For over 10 years, Brandon has been a noteworthy marketing leader and talent in the public sector space with experience in cybersecurity and intelligent automation.

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Danny Tiesling

Danny is a seasoned product developer with over a decade of experience building highly-complex tools and web applications for clients in the Media & Entertainment

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Dewayne Whitfield

Dewayne is an Applied AI technologist who has over 18 years working in government technology. In one of his most recent roles, he served as

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Event FAQ

There are a few different options for parking. Street parking is available but limited. We recommend parking in one of the nearby garages including the Washington Boulevard Parking Garage located at 3434 Washington Blvd or the Van Metre Parking Garage (enter via N Kirkwood Road). Parking in the garages is between $9-12 depending on duration. Street parking is limited to 2 hours.

The Virginia Square-GMU Station is the closest stop. It’s about a 5 minute walk to the venue.

Masks are not required at this event.

The dress code is business casual.

Yes we plan on serving coffee / tea / water along with morning break style edibles, all included in the ticket price.

Check-in begins at 9am. We will be available for earlier check-in, but don’t come too early or we’ll have you help us setup!

YES! This event isn’t possible without the help of our sponsors. Go to https://www.govfuture.com/ to learn more about sponsorship opportunities or email info@govfuture.com for more details

Are you a government innovator and you currently work for any public sector agency? Do you have a solution that you can demo in 10 minutes or less? If so, you can demo!

We also allow our GovFuture Corporate Members to demo as well upon approval their demo form submission.

Go to https://www.govfuture.com/demo for details and to apply!

Date: Tue. January 26, 2021
Time:
Location:
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