Machine Learning Lifecycle 2021 Conference

January 26, 2021
  - January 28, 2021
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  • About
  • Agenda
  • Sessions
  • Speakers
  • Sponsors & Partners

Cognilytica’s Machine Learning Lifecycle for AI 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

  • On Demand


  • Watch the demo to see a real-time demonstration of our AI Powered transcription, redaction, and facial recognition capabilities.
    View Session Details

  • Watch the demo to see how DataRobot’s automated machine learning platform combines predictive modeling expertise with the best practices of data science to deliver accurate and actionable predictions with full transparency and interoperability.
    View Session Details

  • How to level up your modeling after running Autopilot. Learn about new techniques, algorithms, and features that DataRobot makes available to improve your models.
    View Session Details

  • This session shows how to use DataRobot’s Automated Time Series. DataRobot builds for the preprocessing and construction of sophisticated time series models that predict the future values of a data series based on its history and trend.
    View Session Details

  • Understand how DataRobot can enhance your workflow and how to use DataRobot to more efficiently perform the most common types of business analyses.
    View Session Details

  • The AI revolution is here, but it has demands. AI needs clean, contextual data in the proper format to do its job. Too often, though, that process of cleaning and contextualizing takes an extraordinary amount of time—time that could be spent refining your predictive models.
    View Session Details

  • Tue January 26, 2021

    [Day 1]

  • Keynote from Deputy Federal Chief Information Officer, Office of Management and Budget. Hear
    View Session Details

  • What is ML Ops?
    View Session Details

  • Wed January 27, 2021

    [Day 2]

  • AI is transforming the federal workplace, allowing employees to work more productively and efficiently.
    View Session Details

  • Model management: Versioning & iteration
    View Session Details

  • As machine learning becomes widely deployed, organizations will need to develop processes and tools to ensure that models behave as intended. This means having the right set of controls and validation steps in place.
    View Session Details

  • Thu January 28, 2021

    [Day 3]

  • Keynote: Louis Charlier - Deputy Chief Information Officer, U.S. Dept. of Labor
    View Session Details

 

Live

AI Adoption in the Federal Government (Panel)

Wed. January 27, 2021 @ 14:00 ET

Hear from a panel of experts on AI adoption in the federal government.

Day 2, Model development, General Sessions,
Government

AI Adoption in the Federal Government (Panel)

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Keynote

Keynote: Digitization at the IRS

Wed. January 27, 2021 @ 13:00 ET

How is the Internal Revenue Service (IRS) dealing with challenges around digitization and digitalization? Hear from Harrison Smith, head of digitization efforts at the IRS talk about some of the key issues, challenges, and opportunities around digitization at the IRS.

Day 2, Model development, General Sessions,

Keynote: Digitization at the IRS

View Session
Live

MLOps 101: The Foundation for Your AI Strategy

Thu. January 28, 2021 @ 11:00 ET

The definition of MLOps (machine learning operations) includes the culmination of people, processes, practices and underpinning technologies that automate the deployment, monitoring, and management of machine learning (ML) models into production in a scalable and fully governed way to finally provide measurable business value from machine learning. Laying an MLOps foundation allows data, development, and …

MLOps 101: The Foundation for Your AI Strategy Read More »

Day 3, ML Operations (MLOps),
Technology

MLOps 101: The Foundation for Your AI Strategy

View Session
On Demand

Long-term Machine Learning Models in Production

On Demand

There is a new term that’s gaining traction called MLOps. Putting machine learning models into production isn’t like your normal software engineering projects. There are long-term issues that need to be addressed such as model drift. The MLOps teams are tasked with this long-term

ML Operations (MLOps)
Technology

Long-term Machine Learning Models in Production

View Session
Live

Enterprise Solutions For Model Operations & Governance

Wed. January 27, 2021 @ 14:00 ET

As machine learning becomes widely deployed, organizations will need to develop processes and tools to ensure that models behave as intended. This means having the right set of controls and validation steps in place.

Day 2, ML Operations (MLOps), Model Governance,
Industry

Enterprise Solutions For Model Operations & Governance

View Session
Live

Model management: Versioning & iteration

Wed. January 27, 2021 @ 11:00 ET

Model management: Versioning & iteration

Day 2, Model Management,
Technology

Model management: Versioning & iteration

View Session
Live

What is ML Ops?

Tue. January 26, 2021 @ 11:00 ET

What is ML Ops?

Day 1, ML Operations (MLOps),
Technology

What is ML Ops?

View Session
Live

Building Supervised Learning ML Models

Wed. January 27, 2021 @ 09:00 ET

Building Supervised Learning ML Models

Day 2, Model development,
Technology

Building Supervised Learning ML Models

View Session
Live

Model Governance: Key topics

Tue. January 26, 2021 @ 09:00 ET

Key Topics in Machine Learning Model Governance

Day 1, Model Governance,
Technology

Model Governance: Key topics

View Session
On Demand

Data Prep for AI and ML

On Demand

The AI revolution is here, but it has demands. AI needs clean, contextual data in the proper format to do its job. Too often, though, that process of cleaning and contextualizing takes an extraordinary amount of time—time that could be spent refining your predictive models.

Model development, General Sessions,
Technology

Data Prep for AI and ML

View Session
On Demand

Business Analysis with DataRobot

On Demand

Understand how DataRobot can enhance your workflow and how to use DataRobot to more efficiently perform the most common types of business analyses.

Model development, General Sessions,
IndustryTechnology

Business Analysis with DataRobot

View Session
On Demand

Automated Time Series

On Demand

This session shows how to use DataRobot’s Automated Time Series. DataRobot builds for the preprocessing and construction of sophisticated time series models that predict the future values of a data series based on its history and trend.

Model development
Technology

Automated Time Series

View Session
On Demand

Beyond AutoPilot

On Demand

How to level up your modeling after running Autopilot. Learn about new techniques, algorithms, and features that DataRobot makes available to improve your models.

Model development
Technology

Beyond AutoPilot

View Session
On Demand

AI Demo Showcase: DataRobot

On Demand

Watch the demo to see how DataRobot’s automated machine learning platform combines predictive modeling expertise with the best practices of data science to deliver accurate and actionable predictions with full transparency and interoperability.

General Sessions, Demo Showcase,
Technology

AI Demo Showcase: DataRobot

View Session
On Demand

AI Demo Showcase: Veritone

On Demand

Watch the demo to see a real-time demonstration of our AI Powered transcription, redaction, and facial recognition capabilities.

General Sessions, Demo Showcase,
GovernmentTechnology

AI Demo Showcase: Veritone

View Session
Keynote

Keynote: Louis Charlier – Deputy Chief Information Officer, U.S. Dept. of Labor

Thu. January 28, 2021 @ 10:00 ET

Keynote: Louis Charlier - Deputy Chief Information Officer, U.S. Dept. of Labor

Day 3, General Sessions,
Government

Keynote: Louis Charlier – Deputy Chief Information Officer, U.S. Dept. of Labor

View Session
Keynote

Keynote: Maria Roat – Deputy US Federal CIO

Tue. January 26, 2021 @ 10:00 ET

Keynote from Deputy Federal Chief Information Officer, Office of Management and Budget. Hear

Day 1, General Sessions,
Government

Keynote: Maria Roat – Deputy US Federal CIO

View Session
Keynote

Planning an Agile Government with AI

Wed. January 27, 2021 @ 10:00 ET

AI is transforming the federal workplace, allowing employees to work more productively and efficiently.

Day 2, General Sessions,
Government

Planning an Agile Government with AI

View Session

Harrison Smith

As part of the Enterprise Digitalization and Case Management Office, spearhead IRS efforts to empower taxpayers and IRS employees to rapidly resolve issues in a

Louis Charlier

Louis Charlier has served in OCIO since 2006 and currently serves as the Deputy Chief Information Officer for Administration and Strategy, and is on detail

Maria Roat (invited)

Maria is the Deputy Federal Chief Information Officer in the Office of Management and Budget (OMB), Office of the Chief Information Officer. She was previously

Mitchell Winans

Mitch has extensive experience in managing stakeholder relations, advising senior executives, and creating smart business arrangements for a wide range of customers. He effectively communicates

Tim Persons

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

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