TWIMLcon: AI Platforms 2021
36 videos • 46 views • by The TWIML AI Podcast with Sam Charrington
1
AI Operationalization: Where the AI Rubber Hits the Road for the Enterprise
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2
Algorithmia in Action: Take your ML models from training to production
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3
Build an End-to-End ML Workflow for Your Organization
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4
Build, Buy and the Golden Ratio: How Theator scaled up its continuous training framework
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5
Building ML Platform Capabilities at Global Scale
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6
Building Teams and Culture that Support ML Innovation
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7
Building the Business case for ML Platforms
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8
ClearML: Your R&D on MLOps! From zero to hero in two lines of code
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9
Cost Transparency and Model ROI
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10
Data Prep Ops: The Missing Piece of the MLOps Puzzle
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11
Deploying a Fraud Detection Model with a Feature Store
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12
End-to-End ML with Cloudera Machine Learning
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13
Executive Summit Keynote: How to Ensure ML Project Success
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14
Executive Summit Roundtable Discussion
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15
Explainable Monitoring for Successful AI Deployments
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16
Hands-On Feature Store and Model Deployment with Splice Machine
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17
Harnessing On-Device AI to Transform the Smartphone Experience
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18
How Feature Stores Enable Operational ML
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19
How Spotify Does ML At Scale
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20
Keynote Interview: Chris Albon
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21
Keynote Interview: Faisal Siddiqi
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22
Keynote Interview: Solmaz Shahalizadeh
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23
Keynote Interview: Ya Xu
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24
Machine Learning is Going Real-Time
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25
Making Models Work: How an optimized ML lifecycle can drive better ROI
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26
ML Product Experiments at Scale
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27
MLOps for High-Stakes Environments
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28
One Flow to Rule Them All: Building the end to end ML project to production in Dataiku DSS
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29
Operationalizing Responsible AI
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30
Team Teardown: Driving Platform Adoption and Success at Spotify
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31
Team Teardown: MLOps in the Cloud for IoT at iRobot
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32
Top Trends in Enterprise Machine Learning for 2021
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33
Unified MLOps: Feature Stores & Model Deployment
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34
When Good Models Go Bad: The damage caused by wayward models and how to prevent it
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35
Using Unity to Generate Synthetic data and Accelerate Computer Vision Training
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36
Why ML Projects Fail and How to Ensure Their Success
The TWIML AI Podcast with Sam Charrington
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