Session Topics
Cover Image: AI Operationalization: Where the AI Rubber Hits the Road for the Enterprise
AI Operationalization: Where the AI Rubber Hits the Road for the Enterprise
Panel Discussion
Operationalized ML is the coveted final step for data science...
Cover Image: Algorithmia in Action: Take your ML models from training to production
Algorithmia in Action: Take your ML models from training to production
Workshop
Algorithmia is MLOps software that manages all stages of the...
Cover Image: Build an End-to-End ML Workflow for Your Organization
Build an End-to-End ML Workflow for Your Organization
Perspective
The landscape of ML tooling is becoming richer and richer,...
Cover Image: Build, Buy and the Golden Ratio: How Theator scaled up its continuous training framework
Build, Buy and the Golden Ratio: How Theator scaled up its continuous training framework
Case Study
Theator is a Surgical Intelligence Platform providing revolutionary personalized analytics...
Cover Image: Building ML Platform Capabilities at Global Scale
Building ML Platform Capabilities at Global Scale
Case Study
Prosus is a global consumer internet group serving >1,5B people...
Cover Image: Building Teams and Culture that Support ML Innovation
Building Teams and Culture that Support ML Innovation
Executive Summit
Traditional approaches to managing technical projects and teams or establishing...
Cover Image: Building the Business Case for ML Platforms
Building the Business Case for ML Platforms
Executive Summit
ML projects are expensive. There is a natural tension between...
Cover Image: ClearML: Your R&D on MLOps! From zero to hero in two lines of code
ClearML: Your R&D on MLOps! From zero to hero in two lines of code
Workshop
ClearML (formerly Allegro Trains) is the open-source platform that automates...
Cover Image: Cost Transparency and Model ROI
Cost Transparency and Model ROI
Case Study
As companies adopt AI/ML, they run into questions of forecasting...
Cover Image: Data Prep Ops: The Missing Piece of the MLOps Puzzle
Data Prep Ops: The Missing Piece of the MLOps Puzzle
Technology
In her talk, Jennifer Prendki will dig into how the...
Cover Image: Deploying a Fraud Detection Model with a Feature Store
Deploying a Fraud Detection Model with a Feature Store
Workshop
Fraud detection is frequently one of the most demanding real-time...
Cover Image: End-to-End ML with Cloudera Machine Learning
End-to-End ML with Cloudera Machine Learning
Workshop
In this workshop, we explore how Machine Learning on the...
Cover Image: Executive Summit Keynote: How to Ensure ML Project Success
Executive Summit Keynote: How to Ensure ML Project Success
Executive SummitKeynote Interview
One of the biggest challenges executives face is ensuring project...
Cover Image: Executive Summit Roundtable Discussion
Executive Summit Roundtable Discussion
Executive Summit
This summit begins with a series of short conversation starters...
Cover Image: Explainable Monitoring for Successful AI Deployments
Explainable Monitoring for Successful AI Deployments
AI and BusinessWorkshop
Training and deploying ML models is relatively fast and cheap,...
Cover Image: Hands-On Feature Store and Model Deployment with Splice Machine
Hands-On Feature Store and Model Deployment with Splice Machine
Workshop
In this hands-on demonstration, you will learn to use Splice...
Cover Image: Harnessing On-Device AI to Transform the Smartphone Experience
Harnessing On-Device AI to Transform the Smartphone Experience
Workshop
Smartphones have seen explosive growth in AI/Machine Learning usage in...
Cover Image: How Feature Stores Enable Operational ML
How Feature Stores Enable Operational ML
Technology
Mike will provide an overview of feature stores - data...
Cover Image: How Spotify Does ML At Scale
How Spotify Does ML At Scale
Case Study
Join us as Aman Khan and Josh Baer describe the...
Cover Image: Keynote Interview: Chris Albon
Keynote Interview: Chris Albon
Keynote Interview
In this interview, Sam and Chris Albon discuss ML use...
Cover Image: Keynote Interview: Faisal Siddiqi
Keynote Interview: Faisal Siddiqi
Keynote Interview
Faisal is the Director of Engineering for Personalization Infrastructure at...
Cover Image: Keynote Interview: Solmaz Shahalizadeh
Keynote Interview: Solmaz Shahalizadeh
Keynote Interview
Solmaz is the Vice President of Data Science & Engineering...
Cover Image: Keynote Interview: Ya Xu
Keynote Interview: Ya Xu
Keynote Interview
Ya Xu leads the LinkedIn data science practice, a team...
Cover Image: Machine Learning is Going Real-Time
Machine Learning is Going Real-Time
Perspective
There are 2 levels of real-time machine learning: 1) making...
Cover Image: Making Models Work: How an optimized ML lifecycle can drive better ROI
Making Models Work: How an optimized ML lifecycle can drive better ROI
Perspective
When many businesses start their journey into ML and AI,...
Cover Image: ML Product Experiments at Scale
ML Product Experiments at Scale
Case Study
Today, nearly all data experimentation at Yelp occurs on the...
Cover Image: MLOps for High-Stakes Environments
MLOps for High-Stakes Environments
Case Study
In this talk Sudeep will share an overview of the...
Cover Image: One Flow to Rule Them All: Building the end to end ML project to production in Dataiku DSS
One Flow to Rule Them All: Building the end to end ML project to production in Dataiku DSS
Workshop
Organizations continue to struggle pushing beyond experimentation to drive meaningful...
Cover Image: Operationalizing Responsible AI 21
Operationalizing Responsible AI 21
Panel Discussion
This panel explores how organizations can go beyond a general...
Cover Image: Team Teardown: Driving Platform Adoption and Success at Spotify
Team Teardown: Driving Platform Adoption and Success at Spotify
Panel Discussion
We typically hear conference presentations from the single perspective of...
Cover Image: Team Teardown: MLOps in the Cloud for IoT at iRobot
Team Teardown: MLOps in the Cloud for IoT at iRobot
Panel Discussion
We typically hear conference presentations from the single perspective of...
Cover Image: Top Trends in Enterprise Machine Learning for 2021
Top Trends in Enterprise Machine Learning for 2021
Perspective
Every year, Algorithmia surveys business leaders and practitioners across the...
Cover Image: Unified MLOps: Feature Stores & Model Deployment
Unified MLOps: Feature Stores & Model Deployment
Technology
If you’ve brought two or more ML models into production,...
Cover Image: Using Unity to Generate Synthetic data and Accelerate Computer Vision Training
Using Unity to Generate Synthetic data and Accelerate Computer Vision Training
Workshop
Real-world data collection and usage is becoming complicated; The machine...
Cover Image: When Good Models Go Bad: The damage caused by wayward models and how to prevent it
When Good Models Go Bad: The damage caused by wayward models and how to prevent it
Case Study
Delivering a bad model into production/serving is deceptively easy to...
Cover Image: Why ML Projects Fail and How to Ensure Their Success
Why ML Projects Fail and How to Ensure Their Success
Executive Summit
What can leaders do to increase the success rate of...