Systems | Kisaco Research

Systems

Systems

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#1d3459
Generative AI
AI Infrastructure
Systems

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.

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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:

Kai Zenner

Head of Office, Digital Policy Advisor
European Parliament
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Kai Zenner

Head of Office, Digital Policy Advisor
European Parliament
AI Infrastructure
Systems
Hardware
Generative AI

Author:

Manoj Saxena

Founder and Executive Director
Responsible AI Institute
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Manoj Saxena

Founder and Executive Director
Responsible AI Institute

Author:

Paul Dongha

Group Head of Data and AI Ethics
Lloyds Banking Group
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Paul Dongha

Group Head of Data and AI Ethics
Lloyds Banking Group
Generative AI
ML Ops
Systems
Moderator

Author:

Matthew Barker

Head of AI Research & Development
Trustwise
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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.

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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.

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). 

Author:

Sokratis Kartakis

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

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

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.

... 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.

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
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Maximilian Stauder

Head of Computer Vision & AIoT
Schwarz
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.

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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.