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Mitch Rubin

Director of Innovation
Elemental Excelerator

Mitch Rubin

Director of Innovation
Elemental Excelerator

Mitch Rubin

Director of Innovation
Elemental Excelerator
 
Cumbre de Agricultura y Sistemas Alimentarios Regenerativos LATAM
17-18 Jun 2025
México
Our purpose is to bring together all stakeholders and be a neutral platform that enables open, constructive, and educational discussions to further progress toward the transition to regenerative practices. We believe everyone deserves a seat at the table and that the best way to effectively bring about change is through peer-to-peer sharing, partnership, and collaboration.  
Visit Site
 

Selena Cox

Senior Director, DMM – Beauty
CVS Health

Selena Cox

Senior Director, DMM – Beauty
CVS Health

Selena Cox

Senior Director, DMM – Beauty
CVS Health
TRACK A: HARDWARE & SYSTEMS
Edge AI
AI Infrastructure

Author:

Eiman Kanjo

Provost's Visiting Professor in TinyML
Imperial College London

Professor Eiman Kanjo is the Provost’s Visiting Professor in tinyML at Imperial College London. She is recognized among the Top 50 Women in Engineering and is a recipient of the Turing Network Development award. She is actively involved with the tinyML Foundation, serving on the steering committee for tinyML Research Symposium, tinyML EMEA, as a publication chair, and as the tinyML UK academic lead. Additionally, she is an editorial member of the Data Centric Engineering Journal and an Associate Director at Health Data Research UK.

With over 140 publications and grants from prestigious funders like DCMS and EPSRC, she collaborates extensively with industry charities and local authorities.

Prior to her current roles, she conducted significant research at the Computer Science departments at both the University of Cambridge and the University of Nottingham.

Currently, she is also a Professor of Pervasive Computing at Nottingham Trent University, leading the Smart Sensing Lab.

... read more

Eiman Kanjo

Provost's Visiting Professor in TinyML
Imperial College London

Professor Eiman Kanjo is the Provost’s Visiting Professor in tinyML at Imperial College London. She is recognized among the Top 50 Women in Engineering and is a recipient of the Turing Network Development award. She is actively involved with the tinyML Foundation, serving on the steering committee for tinyML Research Symposium, tinyML EMEA, as a publication chair, and as the tinyML UK academic lead. Additionally, she is an editorial member of the Data Centric Engineering Journal and an Associate Director at Health Data Research UK.

With over 140 publications and grants from prestigious funders like DCMS and EPSRC, she collaborates extensively with industry charities and local authorities.

Prior to her current roles, she conducted significant research at the Computer Science departments at both the University of Cambridge and the University of Nottingham.

Currently, she is also a Professor of Pervasive Computing at Nottingham Trent University, leading the Smart Sensing Lab.

Generative AI
ML Ops
Systems
Moderator

Author:

Matthew Barker

Head of AI Research & Development
Trustwise
... read more

Matthew Barker

Head of AI Research & Development
Trustwise

Author:

Dylan Curley

Engineering Manager
Google

Dylan Curley has spent the majority of his career in AI from a software engineering background. He focuses on large scale AI systems infrastructure, automation, scaling, and reliability. These days Dylan manages a team of SREs (reliability engineers) at Google, who are responsible for the vast majority of AI systems across Alphabet including launching & operating the latest advances in Generative AI (Bard, Workspace, Search, YouTube, etc). He has also spent time working on AI for medical research and astrophysics, and advises startups in AI.

... read more

Dylan Curley

Engineering Manager
Google

Dylan Curley has spent the majority of his career in AI from a software engineering background. He focuses on large scale AI systems infrastructure, automation, scaling, and reliability. These days Dylan manages a team of SREs (reliability engineers) at Google, who are responsible for the vast majority of AI systems across Alphabet including launching & operating the latest advances in Generative AI (Bard, Workspace, Search, YouTube, etc). He has also spent time working on AI for medical research and astrophysics, and advises startups in AI.

Author:

Andrew McMahon

Principal Engineer
Barclays

Andrew (Andy) McMahon is a Principal Engineer within the AI COE at Barclays where he works on building the latest generation of machine learning and AI products to support colleagues and customers across the world. Andy is a well-known thought-leader in the practical implementation of MLOps, Generative AI and ML engineering, with experience developing these capabilities in several organisations. He has lectured at leading universities on these topics and is a sought after public speaker. He is also the author of a popular technical book, Machine Learning Engineering with Python (Packt). 

... read more

Andrew McMahon

Principal Engineer
Barclays

Andrew (Andy) McMahon is a Principal Engineer within the AI COE at Barclays where he works on building the latest generation of machine learning and AI products to support colleagues and customers across the world. Andy is a well-known thought-leader in the practical implementation of MLOps, Generative AI and ML engineering, with experience developing these capabilities in several organisations. He has lectured at leading universities on these topics and is a sought after public speaker. He is also the author of a popular technical book, Machine Learning Engineering with Python (Packt). 

Author:

Sokratis Kartakis

Principal ML/MLOps/LLMOps Specialist Solutions Architect EMEA
Amazon Web Services
... read more

Sokratis Kartakis

Principal ML/MLOps/LLMOps Specialist Solutions Architect EMEA
Amazon Web Services

The explosion of interest in Large Language Models (LLMs) and other Foundation Models (FMs) over the past two years has meant that more organizations want to know what it takes to run solutions using these models in production. In this talk, Andy will share his learnings on how to organise your people and technology to take full advantage of these capabilities and run production grade solutions at scale. He will discuss common architectures, emerging team structures and how evaluation and monitoring practices need to be upgraded for the GenAI era. This talk is useful for anyone involved in the deployment and operations of systems where the latest wave of machine learning models play a role.

TRACK B: SOFTWARE INFRASTRUCTURE & ML APPLICATIONS
Software
ML Ops

Author:

Andrew McMahon

Principal Engineer
Barclays

Andrew (Andy) McMahon is a Principal Engineer within the AI COE at Barclays where he works on building the latest generation of machine learning and AI products to support colleagues and customers across the world. Andy is a well-known thought-leader in the practical implementation of MLOps, Generative AI and ML engineering, with experience developing these capabilities in several organisations. He has lectured at leading universities on these topics and is a sought after public speaker. He is also the author of a popular technical book, Machine Learning Engineering with Python (Packt). 

... read more

Andrew McMahon

Principal Engineer
Barclays

Andrew (Andy) McMahon is a Principal Engineer within the AI COE at Barclays where he works on building the latest generation of machine learning and AI products to support colleagues and customers across the world. Andy is a well-known thought-leader in the practical implementation of MLOps, Generative AI and ML engineering, with experience developing these capabilities in several organisations. He has lectured at leading universities on these topics and is a sought after public speaker. He is also the author of a popular technical book, Machine Learning Engineering with Python (Packt).