Agenda | Kisaco Research

Agenda

AI Hardware & Edge AI Summit Europe
18-19 June, 2024
etc.venues, St Paul's 200 Aldersgate St, London

Stay tuned for plenty more sessions, sponsors, keynotes, workshops and speakers being announced in the coming weeks. 

Please note, the filterable options will be available soon. 


Tuesday, 18 Jun, 2024
8:30 - 9:30
REGISTRATION & MORNING NETWORKING
9:30 - 10:00
HYPERSCALER KEYNOTE
AI Infrastructure
Generative AI
Hardware

Author:

Marc Tremblay

Technical Fellow
Microsoft

Marc is a Distinguished Engineer and VP in the Office of the CTO (OCTO) at Microsoft. His current role is to drive the strategic and technical direction of the company on silicon and hardware systems from a cross-divisional standpoint. This includes Artificial Intelligence, from supercomputer to client devices to Xbox, etc., and general-purpose computing. Throughout his career, Marc has demonstrated a passion for translating high-level application requirements into optimizations up and down the stack, all the way to silicon. AI has been his focus for the past several years, but his interests also encompass accelerators for the cloud, scale-out systems, and process technology. He has given multiple keynotes on AI Hardware, published many papers on throughput computing, multi-cores, multithreading, transactional memory, speculative multi-threading, Java computing, etc. and he is an inventor of over 300 patents on those topics.

Prior to Microsoft, Marc was the CTO of Microelectronics at Sun Microsystems. As a Sun Fellow and SVP, he was responsible for the technical leadership of 1200 engineers. Throughout his career, he has started, architected, led, defined and shipped a variety of microprocessors such as superscalar RISC processors (UltraSPARC I/II), bytecode engines (picoJava), VLIW, media and Java-focused (MAJC), and the first processor to implement speculative multithreading and transactional memory (ROCK – first silicon). He received his M.S. and Ph.D. degrees in Computer Sciences from UCLA and his Physics Engineering degree from Laval University in Canada. Marc is on the board of directors of QuantalRF.

Marc Tremblay

Technical Fellow
Microsoft

Marc is a Distinguished Engineer and VP in the Office of the CTO (OCTO) at Microsoft. His current role is to drive the strategic and technical direction of the company on silicon and hardware systems from a cross-divisional standpoint. This includes Artificial Intelligence, from supercomputer to client devices to Xbox, etc., and general-purpose computing. Throughout his career, Marc has demonstrated a passion for translating high-level application requirements into optimizations up and down the stack, all the way to silicon. AI has been his focus for the past several years, but his interests also encompass accelerators for the cloud, scale-out systems, and process technology. He has given multiple keynotes on AI Hardware, published many papers on throughput computing, multi-cores, multithreading, transactional memory, speculative multi-threading, Java computing, etc. and he is an inventor of over 300 patents on those topics.

Prior to Microsoft, Marc was the CTO of Microelectronics at Sun Microsystems. As a Sun Fellow and SVP, he was responsible for the technical leadership of 1200 engineers. Throughout his career, he has started, architected, led, defined and shipped a variety of microprocessors such as superscalar RISC processors (UltraSPARC I/II), bytecode engines (picoJava), VLIW, media and Java-focused (MAJC), and the first processor to implement speculative multithreading and transactional memory (ROCK – first silicon). He received his M.S. and Ph.D. degrees in Computer Sciences from UCLA and his Physics Engineering degree from Laval University in Canada. Marc is on the board of directors of QuantalRF.

10:00 - 10:25
HYPERSCALER KEYNOTE
AI Infrastructure
Hardware
Systems

Author:

Ola Tørudbakken,

Director AI Systems
Meta

Ola has 30 years of experience building distributed systems and high-performance networking across AI, HPC, Enterprise and Telco. 

Ola currently serves as Director of AI Systems at Meta. Previously Ola was SVP Systems at Graphcore, driving their 2nd generation AI systems. Ola came to Graphcore through the acquisition of Skala Technologies, an AI startup he co-founded. Prior to Skala, Ola worked as Chief Architect of Networking and Netra Servers at Oracle. Ola joined Oracle through the acquisition of Sun Microsystems. At Sun, Ola served as Distinguished Engineer, amongst many things responsible for the famous 3456-port Magnum Infiniband Switch now on display in the Computer Museum, Silicon Valley. Prior to Sun Ola was at Dolphin ICS, acquired by Sun Microsystems in 2000. Ola started his career as a research scientist at SINTEF, a Norwegian industrial research organization.

Ola is a recognized industry expert in distributed systems, holds over 48 patents, has published several papers in leading publications, and participated in numerous standardization bodies. Ola holds an MSc degree in Computer Science from University of Oslo in 1994

Ola Tørudbakken,

Director AI Systems
Meta

Ola has 30 years of experience building distributed systems and high-performance networking across AI, HPC, Enterprise and Telco. 

Ola currently serves as Director of AI Systems at Meta. Previously Ola was SVP Systems at Graphcore, driving their 2nd generation AI systems. Ola came to Graphcore through the acquisition of Skala Technologies, an AI startup he co-founded. Prior to Skala, Ola worked as Chief Architect of Networking and Netra Servers at Oracle. Ola joined Oracle through the acquisition of Sun Microsystems. At Sun, Ola served as Distinguished Engineer, amongst many things responsible for the famous 3456-port Magnum Infiniband Switch now on display in the Computer Museum, Silicon Valley. Prior to Sun Ola was at Dolphin ICS, acquired by Sun Microsystems in 2000. Ola started his career as a research scientist at SINTEF, a Norwegian industrial research organization.

Ola is a recognized industry expert in distributed systems, holds over 48 patents, has published several papers in leading publications, and participated in numerous standardization bodies. Ola holds an MSc degree in Computer Science from University of Oslo in 1994

10:25 - 10:50
USE CASE KEYNOTE
AI Infrastructure
Systems
Hardware
Generative AI

Author:

Manoj Saxena

Founder and Executive Director
Responsible AI Institute

Manoj Saxena

Founder and Executive Director
Responsible AI Institute

Author:

Paul Dongha

Group Head of Data and AI Ethics
Lloyds Banking Group

Paul Dongha

Group Head of Data and AI Ethics
Lloyds Banking Group
10:50 - 11:20
BREAK
11:20 - 11:45
PARTNER KEYNOTE

Author:

Jonathan Berte

Founder & Chief Visionary Officer
Robovision

Jonathan Berte first experimented with vision and artificial intelligence in 2009 and continued to amass expertise in applied physics and image processing.

During an early stint working with automotive software, Berte soon saw the potential of combining machine vision with robots. With an academic background in applied physics from Ghent University and a specialization in neuroscience at ETH Zürich, Berte built a solid reputation for developing custom solutions for machine vision and robotics. He started as a consultant in 2003; opportunities quickly led to a full-fledged company renamed Robovision in 2008 headquartered in Ghent, Belgium.

Robovision pioneered a software platform for AI applications in advanced image recognition and  robotics. It soon evolved into a turnkey AI solution-provider with a deep-learning platform, RVAI. Designed to be no code and user-friendly, RVAI allows people from farmers to machine operators to adapt, retrain and run models without relying on data scientists. With over 1,000+ industrial applications deployed, Robovision has enabled over €250M in sales.

Aside from Robovision, where he also serves as Chairman of the Board, Jonathan is a frequent guest lecturer at the London School of Economics, Vlerick Business School, and Ghent University on subjects focused on artificial intelligence, machine vision, and robotics.

Jonathan Berte

Founder & Chief Visionary Officer
Robovision

Jonathan Berte first experimented with vision and artificial intelligence in 2009 and continued to amass expertise in applied physics and image processing.

During an early stint working with automotive software, Berte soon saw the potential of combining machine vision with robots. With an academic background in applied physics from Ghent University and a specialization in neuroscience at ETH Zürich, Berte built a solid reputation for developing custom solutions for machine vision and robotics. He started as a consultant in 2003; opportunities quickly led to a full-fledged company renamed Robovision in 2008 headquartered in Ghent, Belgium.

Robovision pioneered a software platform for AI applications in advanced image recognition and  robotics. It soon evolved into a turnkey AI solution-provider with a deep-learning platform, RVAI. Designed to be no code and user-friendly, RVAI allows people from farmers to machine operators to adapt, retrain and run models without relying on data scientists. With over 1,000+ industrial applications deployed, Robovision has enabled over €250M in sales.

Aside from Robovision, where he also serves as Chairman of the Board, Jonathan is a frequent guest lecturer at the London School of Economics, Vlerick Business School, and Ghent University on subjects focused on artificial intelligence, machine vision, and robotics.

11:45 - 12:10
PARTNER KEYNOTE

Current approaches to handling AI at the edge are required to step up to the challenge of deploying AI based on the Foundation Model concept into edge-based devices from mobile to automotive to desktop/PC. This new landscape of AI models, alongside the traditional edge use cases demands new flexibilities and strategies that can take advantage of opportunities and challenges resulting from the CMOS scaling roadmap and 2.5/3D integration and the ongoing march of intelligent systems. 

This blue-sky presentation from the engineer driving Imagination’s long-term roadmap for AI will ask how the era of foundation models arrived, lay out forthcoming hardware and software challenges, and suggest a few routes to success in this new landscape.

Imagination is a global leader in innovative edge technology, delivering landmark GPU, CPU and AI semiconductor solutions across automotive, mobile, consumer and desktop markets for over thirty years.

Author:

Dan Wilkinson

Chief Architect
Imagination Technologies

Dan Wilkinson

Chief Architect
Imagination Technologies
12:10 - 12:50
PANEL
AI Infrastructure
Generative AI
Hardware
Software
Moderator

Author:

Galina Sagan

Prinicpal
Hitachi Ventures

Galina Sagan is a Principal at Hitachi Ventures, a global venture fund (with >600m USD AUM) with Hitachi being a single LP. Galina specializes in Enterprise SaaS B2B and digital investments. Some of the relevant deals include Trustwise AI, Archetype AI, Rescale and WekaIO. Formerly a Senior Investment Associate at Speedinvest, a pan-European early stage fund with > €1 billion AUM.

Galina has been recognized as one of GCVs Rising Stars in 2022.

Galina Sagan

Prinicpal
Hitachi Ventures

Galina Sagan is a Principal at Hitachi Ventures, a global venture fund (with >600m USD AUM) with Hitachi being a single LP. Galina specializes in Enterprise SaaS B2B and digital investments. Some of the relevant deals include Trustwise AI, Archetype AI, Rescale and WekaIO. Formerly a Senior Investment Associate at Speedinvest, a pan-European early stage fund with > €1 billion AUM.

Galina has been recognized as one of GCVs Rising Stars in 2022.

Author:

Asim Shah

Generative AI Research Engineering Lead
Citi Bank

Asim Shah

Generative AI Research Engineering Lead
Citi Bank

Author:

Euan Wielewski

Machine Learning Lead
NatWest

Euan Wielewski

Machine Learning Lead
NatWest

Author:

Jürgen Weichenberger

VP of AI Strategy & Innovation
Schneider Electric

Jürgen Weichenberger

VP of AI Strategy & Innovation
Schneider Electric

Author:

Kamran Naqvi

Chief Network Architect EMEA
Broadcom

Kamran Naqvi

Chief Network Architect EMEA
Broadcom
12:50 - 14:00
LUNCH & NETWORKING BREAK
14:00 - 14:25
PRESENTATION

As billions of IoT devices permeates into our daily lives, their resource limitations and connectivity constraints have confined them to only a narrow subset of machine learning capabilities within the broader scope of AI. Edge Processing stands as a pivotal solution, optimizing large-scale data mining and aggregation by relocating the data processing segment of an application to more resourceful devices edge devices within the local network. The integration of GPU-accelerated ML inference on edge devices opens new avenues for harnessing the full potential of AI, fostering a future where intelligent decision-making in IoT is not only accessible via cloud. 

Mo will commence the talk by outlining the current landscape of IoT networks, emphasizing the increasing demand for intelligent decision-making at the edge. Traditional challenges associated with centralized cloud-based ML models will be highlighted, setting the stage for the exploration of decentralized solutions.

We will delve into the technical considerations for integrating GPUs, including model optimization, compatibility with popular ML frameworks, and the advantages of parallel processing. Real-world examples will be presented to showcase the transformative impact of GPU-accelerated ML inference on edge devices, enabling the deployment of pre-trained models using latest hardware without compromising performance. Practical considerations, such as power efficiency and scalability, will also be addressed to provide a comprehensive understanding of the benefits and challenges associated with this approach.

AI Infrastructure
Edge AI

Author:

Mo Haghighi

Distinguished Engineer
Discover Financial Services

Dr Mo Haghighi is a director of engineering/distinguished engineer at Discover Financial Services. His current focus is hybrid and multi-cloud strategy, application modernisation and automating application/workload migration across public and private clouds. Previously, he held various leadership positions as a program director at IBM, where he led Developer Ecosystem and Cloud Engineering teams in 27 countries across Europe, Middle East and Africa. Prior to IBM, he was a research scientist at Intel and an open source advocate at Sun Microsystems/Oracle. 

Mo obtained a PhD in computer science, and his primary areas of expertise are distributed and edge computing, cloud native, IoT and AI, with several publications and patents in those areas.

Mo is a regular keynote/speaker at major developer conferences including Devoxx, DevOpsCon, Java/Code One, Codemotion, DevRelCon, O’Reilly, The Next Web, DevNexus, IEEE/ACM, ODSC, AiWorld, CloudConf and Pycon. 

Mo Haghighi

Distinguished Engineer
Discover Financial Services

Dr Mo Haghighi is a director of engineering/distinguished engineer at Discover Financial Services. His current focus is hybrid and multi-cloud strategy, application modernisation and automating application/workload migration across public and private clouds. Previously, he held various leadership positions as a program director at IBM, where he led Developer Ecosystem and Cloud Engineering teams in 27 countries across Europe, Middle East and Africa. Prior to IBM, he was a research scientist at Intel and an open source advocate at Sun Microsystems/Oracle. 

Mo obtained a PhD in computer science, and his primary areas of expertise are distributed and edge computing, cloud native, IoT and AI, with several publications and patents in those areas.

Mo is a regular keynote/speaker at major developer conferences including Devoxx, DevOpsCon, Java/Code One, Codemotion, DevRelCon, O’Reilly, The Next Web, DevNexus, IEEE/ACM, ODSC, AiWorld, CloudConf and Pycon. 

14:25 - 14:50
PARTNER PRESENTATION
Edge AI
AI Infrastructure
Systems
Hardware

Author:

Sakyasingha Dasgupta

Founder & CEO
EdgeCortix

Sakya is the founder and Chief Executive officer of EdgeCortix. He is an artificial intelligence (AI) and machine learning technologist, entrepreneur, and engineer with over a decade of experience in taking cutting edge AI research from ideation stage to scalable products, across different industry verticals.  He has lead teams at global companies like Microsoft and IBM Research / IBM Japan, along with national research labs like RIKEN Japan and the Max Planck Institute Germany. Previously, he helped establish and lead the technology division at lean startups in Japan and Singapore, in semiconductor technology, robotics and Fintech sectors. Sakya is the inventor of over 20 patents and has published widely on machine learning and AI with over 1,000 citations. 

Sakya holds a PhD. in Physics of Complex Systems from the Max Planck Institute in Germany, along with Masters in Artificial Intelligence from The University of Edinburgh and a Bachelors of Computer Engineering. Prior to founding EdgeCortix he completed his entrepreneurship studies from the MIT Sloan School of Management.

Sakyasingha Dasgupta

Founder & CEO
EdgeCortix

Sakya is the founder and Chief Executive officer of EdgeCortix. He is an artificial intelligence (AI) and machine learning technologist, entrepreneur, and engineer with over a decade of experience in taking cutting edge AI research from ideation stage to scalable products, across different industry verticals.  He has lead teams at global companies like Microsoft and IBM Research / IBM Japan, along with national research labs like RIKEN Japan and the Max Planck Institute Germany. Previously, he helped establish and lead the technology division at lean startups in Japan and Singapore, in semiconductor technology, robotics and Fintech sectors. Sakya is the inventor of over 20 patents and has published widely on machine learning and AI with over 1,000 citations. 

Sakya holds a PhD. in Physics of Complex Systems from the Max Planck Institute in Germany, along with Masters in Artificial Intelligence from The University of Edinburgh and a Bachelors of Computer Engineering. Prior to founding EdgeCortix he completed his entrepreneurship studies from the MIT Sloan School of Management.

14:50 - 15:15
CASE STUDY

In the case study I provide a deep dive into the area of food production (bakery goods) in europe´s largest bakery factory. The case study is about how we successfully implemented Computer Vision to monitor our production process to evaluate 3.5 mio. bakery goods every day. I will show how this leads to a reduction of food waste during production and how this is aligned with environmental/sustainability goals in food production. I will motivate why AI on the edge was identified as being a crucial success factor and which considerations we took as Schwarz group to get started in this area 3 years ago. I will discuss – based on the case study – how we selected and benchmarked hardware chips (Nvidia, Intel, GPU vs CPU…), how we needed to change software engineering to accommodate for Edge AI, how we integrated edge AI models into our cloud-based infrastructure, how we do the deployment and how/why we still use cloud-based GPUs for model training.

Edge AI
ML Ops
Systems

Author:

Maximilian Stauder

Head of Computer Vision & AIoT
Schwarz

Maximilian Stauder

Head of Computer Vision & AIoT
Schwarz
15:15 - 15:45
NETWORKING BREAK
15:45 - 16:10
CASE STUDY
16:10 - 16:35
PRESENTATION
16:35 - 17:00
PRESENTATION
17:00 - 18:30
NETWORKING RECEPTION
Wednesday, 19 Jun, 2024
8:30 - 9:30
REGISTRATION & MORNING NETWORKING
9:30 - 10:00
KEYNOTE: CASE STUDY

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.

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.

10:00 - 10:25
KEYNOTE
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.

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.

10:25 - 10:50
KEYNOTE
Hardware
AI Infrastructure

Author:

Salam Al Mosawi

SVP Growth
Nscale

Salam Al Mosawi

SVP Growth
Nscale
10:50: 11:20
NETWORKING BREAK
11:20 - 11:45
ENTERPRISE KEYNOTE

This keynote will explore how Airbus is using artificial intelligence (AI) and big data to transform itself and the aerospace industry. We'll look at real-world examples of how these technologies are improving our products, making our operations more efficient, and helping our customers do the same. We'll also touch on how quantum computing could change the game. Our ultimate goal is to significantly reduce our environmental impact and achieve net-zero emissions by 2050.

AI Infrastructure
Generative AI

Author:

Greg Ombach

Head of Disruptive R&T Technology & Engineering, Senior Vice President
Airbus

Dr. Grzegorz (Greg) Ombach is a highly accomplished and visionary senior executive passionate about driving innovation and change. Throughout his career, he has led the development and implementation of game-changing innovations that have disrupted industries and driven growth. With a truly global outlook, having worked at various companies e.g. Siemens VDO, Qualcomm, Airbus across Europe, the USA, and China, he specializes in creating innovative solutions that meet customers' needs and transform industries.

As the Head of Disruptive Research and Technology at Airbus, Greg focuses on accelerating the development of disruptive technologies and solutions that can shape the future of aerospace. He collaborates with internal and external stakeholders to identify emerging trends and opportunities and develops strategies that drive innovation and continuous learning across all Airbus divisions.


Greg's leadership and commercial expertise have led to his success in high-tech
innovations, change, and commercialization. As the Chairman of the Board of Directors at AdvEn Industries Inc, he has helped transform the company from a research and development startup to a disruptive growth company with a new state-of-the-art manufacturing facility and industry-leading patented and patent-pending technologies for next-generation batteries, energy storage systems, and other applications.

Greg is a dynamic leader passionate about managing technological innovation from ideation to broad market adoption. His ability to drive transformative change across multiple industries has earned him a reputation as an effective and inspiring leader who thrives in dynamic environments. With a track record of leading game-changing innovations, Grzegorz has the potential to transform industries and is a respected leader in the field of innovation and change.

Greg Ombach

Head of Disruptive R&T Technology & Engineering, Senior Vice President
Airbus

Dr. Grzegorz (Greg) Ombach is a highly accomplished and visionary senior executive passionate about driving innovation and change. Throughout his career, he has led the development and implementation of game-changing innovations that have disrupted industries and driven growth. With a truly global outlook, having worked at various companies e.g. Siemens VDO, Qualcomm, Airbus across Europe, the USA, and China, he specializes in creating innovative solutions that meet customers' needs and transform industries.

As the Head of Disruptive Research and Technology at Airbus, Greg focuses on accelerating the development of disruptive technologies and solutions that can shape the future of aerospace. He collaborates with internal and external stakeholders to identify emerging trends and opportunities and develops strategies that drive innovation and continuous learning across all Airbus divisions.


Greg's leadership and commercial expertise have led to his success in high-tech
innovations, change, and commercialization. As the Chairman of the Board of Directors at AdvEn Industries Inc, he has helped transform the company from a research and development startup to a disruptive growth company with a new state-of-the-art manufacturing facility and industry-leading patented and patent-pending technologies for next-generation batteries, energy storage systems, and other applications.

Greg is a dynamic leader passionate about managing technological innovation from ideation to broad market adoption. His ability to drive transformative change across multiple industries has earned him a reputation as an effective and inspiring leader who thrives in dynamic environments. With a track record of leading game-changing innovations, Grzegorz has the potential to transform industries and is a respected leader in the field of innovation and change.

11:45 - 12:30
PANEL
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.

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

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.

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

Jake Kochnowicz

VP Product Management
Imagintation Technologies
12:30 - 13:40
LUNCH & NETWORKING
13:40 - 14:20
PANEL
Generative AI
ML Ops
Systems
Moderator

Author:

Matthew Barker

Head of AI Research & Development
Trustwise

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.

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

Director - 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). 

Andrew McMahon

Director - 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

Sokratis Kartakis

Principal ML/MLOps/LLMOps Specialist Solutions Architect EMEA
Amazon Web Services
14:20 - 14:45
PARTNER PRESENTATION
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.

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.

14:45 - 15:10
PRESENTATION

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.

Author:

Andrew McMahon

Director - 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). 

Andrew McMahon

Director - 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). 

15:10 - 15:35
PRESENTATION
15:35 - 16:00
PRESENTATION

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