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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). 

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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). 

Hardware
Systems
AI Infrastructure
Moderator

Author:

Sally Ward-Foxton

Senior Reporter
EETimes

Sally Ward-Foxton has been writing about the electronics industry for more than a decade. As a freelance journalist she has published articles in EE Times, Electronic Design Europe, Microwaves & RF, ECN, Electronic Specifier: Design, IoT Embedded Systems, Electropages, Components in Electronics and many more. She also supplies technical writing and ghostwriting services to several of Europe's leading PR agencies. She holds a Masters' degree in Electrical and Electronic Engineering from the University of Cambridge, UK.

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Sally Ward-Foxton

Senior Reporter
EETimes

Sally Ward-Foxton has been writing about the electronics industry for more than a decade. As a freelance journalist she has published articles in EE Times, Electronic Design Europe, Microwaves & RF, ECN, Electronic Specifier: Design, IoT Embedded Systems, Electropages, Components in Electronics and many more. She also supplies technical writing and ghostwriting services to several of Europe's leading PR agencies. She holds a Masters' degree in Electrical and Electronic Engineering from the University of Cambridge, UK.

Author:

Stylianos Venieris

Senior Research Scientist
Samsung AI
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Stylianos Venieris

Senior Research Scientist
Samsung AI

Author:

Phil Burr

Head of Product
Lumai

Phil Burr is Head of Product at Lumai where he is focused on bringing the world’s fastest and most energy efficient datacentre AI accelerator to market.  Phil has over 25 years of experience in global product management, go-to-market and leadership roles within leading semiconductor and technology companies, and a proven track record of building and scaling products and services. Phil’s previous experience includes leadership roles at Arm, indie Semiconductor, Mentor Graphics (now part of Siemens) and The Technology Partnership.

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Phil Burr

Head of Product
Lumai

Phil Burr is Head of Product at Lumai where he is focused on bringing the world’s fastest and most energy efficient datacentre AI accelerator to market.  Phil has over 25 years of experience in global product management, go-to-market and leadership roles within leading semiconductor and technology companies, and a proven track record of building and scaling products and services. Phil’s previous experience includes leadership roles at Arm, indie Semiconductor, Mentor Graphics (now part of Siemens) and The Technology Partnership.

Author:

Jake Kochnowicz

VP Product Management
Imagintation Technologies
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Jake Kochnowicz

VP Product Management
Imagintation Technologies
Hardware
AI Infrastructure

Author:

Matthew Burns

Technical Marketing Manager
Samtec

Matthew Burns develops go-to-market strategies for Samtec’s Silicon-to-Silicon solutions. Over the course of 20+ years, he has been a leader in design, applications engineering, technical sales and marketing in the telecommunications, medical and electronic components industries. Mr. Burns holds a B.S. in Electrical Engineering from Penn State University.

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Matthew Burns

Technical Marketing Manager
Samtec

Matthew Burns develops go-to-market strategies for Samtec’s Silicon-to-Silicon solutions. Over the course of 20+ years, he has been a leader in design, applications engineering, technical sales and marketing in the telecommunications, medical and electronic components industries. Mr. Burns holds a B.S. in Electrical Engineering from Penn State University.

Building AI infrastructure for both research and user-facing products, and bridging the gap between

TRACK A: HARDWARE & SYSTEMS
Hardware
Systems

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.

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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.

 

Tom Mason

Chief Technology Officer
Stability AI

Tom Mason

Chief Technology Officer
Stability AI

Tom Mason

Chief Technology Officer
Stability AI
Generative AI

Author:

Juergen Weichenberger

VP of AI Strategy & Innovation
Schneider Electric

Juergen has 20 years of experience in building complex solutions leveraging advanced analytics, data science, database design, architecture and other cutting-edge technologies. Working in the AI industry since the mid-1990s, Juergen have built solutions for various industries and leveraged various methods over time. He joined Schneider Electric in 2022 as Vice President AI New Value Stream. His focus is to produce industry grade solutions, translating the combination of core algorithms, robotic, cybernetics and human intelligence. Previously, he worked as Senior Data Science Executive in Accenture and hold various roles related to AI and data. He holds a PhD degree in Business intelligence and new marketing methods from The Philipp University of Marburg, MBA in Executive General Management and MA in Applied Computer, bioinformatics and cybernetic from Paris Lodron Universität Salzburg.

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Juergen Weichenberger

VP of AI Strategy & Innovation
Schneider Electric

Juergen has 20 years of experience in building complex solutions leveraging advanced analytics, data science, database design, architecture and other cutting-edge technologies. Working in the AI industry since the mid-1990s, Juergen have built solutions for various industries and leveraged various methods over time. He joined Schneider Electric in 2022 as Vice President AI New Value Stream. His focus is to produce industry grade solutions, translating the combination of core algorithms, robotic, cybernetics and human intelligence. Previously, he worked as Senior Data Science Executive in Accenture and hold various roles related to AI and data. He holds a PhD degree in Business intelligence and new marketing methods from The Philipp University of Marburg, MBA in Executive General Management and MA in Applied Computer, bioinformatics and cybernetic from Paris Lodron Universität Salzburg.

 

Walid Hadid

Big Data Integration Partner
The Weir Group

Walid Hadid

Big Data Integration Partner
The Weir Group

Walid Hadid

Big Data Integration Partner
The Weir Group