MLOps Summit schedule

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REGISTRATION & LIGHT BREAKFAST

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WELCOME NOTE & OPENING REMARKS

ML DESIGN & DEVELOPMENT

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Michael Phelan

Michael Phelan - Global MLOps and Data Science Leader - Johnson & Johnson Consumer Health

Delivering Data Science: Better, Faster, Cheaper For a New Healthcare CPG With 1.2 Billion Customers.

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Li Rong

Li Rong - Software Engineer - Yelp

Who Are the MLOps in Yelp: From Prototype to Production

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ML Performance in the Real World: What They Don’t Teach You in School

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COFFEE & NETWORKING BREAK

ML FRAMEWORKS & INFRASTRUCTURE

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Pavlos Mitsoulis-Ntompos

Pavlos Mitsoulis-Ntompos - MLOps Engineering Manager - King

APIs: They Matter More Than You Think in Machine Learning

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Natalia Koupanou

Natalia Koupanou - Data Science Manager - Huge Inc

Faster Operationalisation of Machine Learning Models with a Feature Store

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Casper da Costa-Luis

Casper da Costa-Luis - Product Manager - Iterative

Painless Cloud Orchestration Without Leaving Your IDE

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Andy McMahon

Andy McMahon - Machine Learning Engineering Lead - NatWest Group

Delivering an Enterprise-Scale MLOps Capability to Optimize Time to Value

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LUNCH

MODEL TRAINING & MANAGEMENT

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Christian Rehm

Christian Rehm - Senior Machine Learning Engineer - Wayfair

How Wayfair Leverages Google Vertex AI Towards MLOps Excellence

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Chris Sarakasidis

Chris Sarakasidis - Lead Machine Learning Engineer - MLOps - ITV

Modern MLOps: Simplifying and Automating ML Pipelines Using Databricks and Kubernetes In AWS

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Aerin Booth

Aerin Booth - Cloud Sustainability Advocate - Genesis Cloud

Genesis Cloud: Is Dall-E Ethical? The Real-World Impacts of Machine Learning

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COFFEE & NETWORKING BREAK

TOOLS & TECHNIQUES

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Massimo Belloni

Massimo Belloni - Data Science Manager - Bumble

There Is No Such Thing As MLOps

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Detlef Nauck

Detlef Nauck - Head of AI & Data Science Research - BT

Implementing a Company-Wide Framework for Responsible AI

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PANEL: From Concept to Production - The Best Opportunities to Utilise MLOps

Andy McMahon

Andy McMahon - Machine Learning Engineering Lead - NatWest Group

PANELIST

Clemence Burnichon

Clemence Burnichon - Director of Data Innovation - ITV

PANELIST

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NETWORKING RECEPTION

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END OF DAY 1

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DOORS OPEN & LIGHT BREAKFAST

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WELCOME NOTE & OPENING REMARKS

AUTOML

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Ghida Ibrahim

Ghida Ibrahim - Lead Quantitative Engineer - Meta

An Intro To AIOps: How To Scale IT Operations With AI

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Making AI Work For You

SCALING & MANAGEMENT

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Reinu Mann

Reinu Mann - Global Head of DevOPs and Product Strategy - Mars

MLOPs in the world of Advance Analytics

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COFFEE & NETWORKING BREAK

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Harpal Sahota

Harpal Sahota - Lead Data Scientist - MATCHESFASHION

The Journey of MLOps At MATCHESFASHION

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Dejan Golubovic

Dejan Golubovic - Software Engineer, MLOps - CERN

Deploying and Managing a Machine Learning Platform with Kubeflow at CERN

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Model Management, Deployment, Lineage & Monitoring

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Deploy & Accelerate Optimisations in Your Pipeline

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LUNCH

PRACTICAL MLOPS

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Anna FitzMaurice

Anna FitzMaurice - Senior Data Scientist - BBC

Personalisation at Scale Across the BBC

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Christopher Yim

Christopher Yim - Machine Learning Ops Engineer - Recycleye

Garbage In Garbage Out - Applying AI to Waste Management

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PANEL: The ROI of MLOps: Do the Pros Outweigh the Cons?

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END OF SUMMIT

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Day 2

Machine Learning Experimentation & Tuning with Metaflow -

PRACTICAL WORKSHOP

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Day 2

Optimising the Predictions of Your Transformer Models -

DEEP DIVE DISCUSSION

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Day 2

Accelerating ML Model Deployments with Open-Source Platforms -

TRAINING SESSION

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Day 2

Building an Enterprise-ready ML Platform From Nothing -

CASE STUDY

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