Agenda | Kisaco Research

Agenda

AI Hardware & Edge AI Summit Europe
18-19 June, 2024
London, UK

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
REGISTRATION & MORNING NETWORKING
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.

PARTNER KEYNOTE
Networking Break
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
NETWORKING LUNCH
13:15 - 13:45
CASE STUDY
TRACK A: SERVER/CLOUD AI INFRASTRUCTURE
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

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.

TRACK B: INDUSTRIAL EDGE AI INFRASTRUCTURE
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. 

13:45 - 14:15
PANEL
TRACK A: SERVER/CLOUD AI INFRASTRUCTURE
AI Infrastructure
Generative AI
Hardware
Software

Author:

Dimitri Metzger

Digital, Data, & IT for Medical AI R&D
Merck

Dimitri Metzger

Digital, Data, & IT for Medical AI R&D
Merck

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
14:25 - 14:50
CASE STUDY
TRACK B: INDUSTRIAL EDGE AI INFRASTRUCTURE
Edge AI
AI Infrastructure
Systems
Hardware

Author:

Sakyasingha Dasgupta

Founder & CEO
EdgeCortix

Dr. Sakyasingha Dasgupta is the founder and CEO of Edgecortix, Inc. He is an AI and machine learning technologist, entrepreneur and engineer with real-world experience in taking cutting edge research from ideation stage to scalable products. Having worked at global companies like Microsoft, IBM Research and national research labs like RIKEN and Max Planck Institute, in his more recent roles, he has helped establish and lead technology teams at lean startups in Japan and Singapore, in robotics & automation and Fintech sectors.

After spending more than a decade in research and development in diverse areas like, brain inspired computing, robotics, computer vision, hardware acceleration for AI, wearable devices, internet of things, machine learning in finance and healthcare, Sakya founded EdgeCortix, a deep-tech startup automating machine learning driven AI hardware & software co-design for an intelligent distributed edge ecosystem.

Sakyasingha recently took part in a webinar titled "Software, The Elephant in the Room for Edge AI Hardware Acceleration" - register for free to watch on-demand here

Sakyasingha Dasgupta

Founder & CEO
EdgeCortix

Dr. Sakyasingha Dasgupta is the founder and CEO of Edgecortix, Inc. He is an AI and machine learning technologist, entrepreneur and engineer with real-world experience in taking cutting edge research from ideation stage to scalable products. Having worked at global companies like Microsoft, IBM Research and national research labs like RIKEN and Max Planck Institute, in his more recent roles, he has helped establish and lead technology teams at lean startups in Japan and Singapore, in robotics & automation and Fintech sectors.

After spending more than a decade in research and development in diverse areas like, brain inspired computing, robotics, computer vision, hardware acceleration for AI, wearable devices, internet of things, machine learning in finance and healthcare, Sakya founded EdgeCortix, a deep-tech startup automating machine learning driven AI hardware & software co-design for an intelligent distributed edge ecosystem.

Sakyasingha recently took part in a webinar titled "Software, The Elephant in the Room for Edge AI Hardware Acceleration" - register for free to watch on-demand here

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.

TRACK B: INDUSTRIAL EDGE AI INFRASTRUCTURE
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
CASE STUDY & PRESENTATION
NETWORKING RECEPTION
Wednesday, 19 Jun, 2024
REGISTRATION & MORNING NETWORKING
KEYNOTE
PARTNER KEYNOTE
Hardware
AI Infrastructure

Author:

Salam Al Mosawi

SVP Growth
Nscale

Salam Al Mosawi

SVP Growth
Nscale
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.

NETWORKING LUNCH
13:15 - 13:45
CASE STUDY

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.

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.

The explosion of interest in Large Language Models (LLMs) and other Foundation Models (FMs) over the past year has meant that more organizations and teams are questioning what it will take to run solutions using these models in production. In this talk, Andy will bring some of his thoughts and ideas around the new convergence between MLOps and foundation models, including LLMs (FMOps and LLMOps). He will discuss what this means from a practical implementation as well as from a higher level strategic view. 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

Head of MLOps
NatWest Group

Andrew McMahon

Head of MLOps
NatWest Group
13:45 - 14:15
PARTNER PRESENTATION
TRACK A: HARDWARE & SYSTEMS
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.

14:15 - 15:00
PANEL
TRACK A: HARDWARE & SYSTEMS
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:

Sakyasingha Dasgupta

Founder & CEO
EdgeCortix

Dr. Sakyasingha Dasgupta is the founder and CEO of Edgecortix, Inc. He is an AI and machine learning technologist, entrepreneur and engineer with real-world experience in taking cutting edge research from ideation stage to scalable products. Having worked at global companies like Microsoft, IBM Research and national research labs like RIKEN and Max Planck Institute, in his more recent roles, he has helped establish and lead technology teams at lean startups in Japan and Singapore, in robotics & automation and Fintech sectors.

After spending more than a decade in research and development in diverse areas like, brain inspired computing, robotics, computer vision, hardware acceleration for AI, wearable devices, internet of things, machine learning in finance and healthcare, Sakya founded EdgeCortix, a deep-tech startup automating machine learning driven AI hardware & software co-design for an intelligent distributed edge ecosystem.

Sakyasingha recently took part in a webinar titled "Software, The Elephant in the Room for Edge AI Hardware Acceleration" - register for free to watch on-demand here

Sakyasingha Dasgupta

Founder & CEO
EdgeCortix

Dr. Sakyasingha Dasgupta is the founder and CEO of Edgecortix, Inc. He is an AI and machine learning technologist, entrepreneur and engineer with real-world experience in taking cutting edge research from ideation stage to scalable products. Having worked at global companies like Microsoft, IBM Research and national research labs like RIKEN and Max Planck Institute, in his more recent roles, he has helped establish and lead technology teams at lean startups in Japan and Singapore, in robotics & automation and Fintech sectors.

After spending more than a decade in research and development in diverse areas like, brain inspired computing, robotics, computer vision, hardware acceleration for AI, wearable devices, internet of things, machine learning in finance and healthcare, Sakya founded EdgeCortix, a deep-tech startup automating machine learning driven AI hardware & software co-design for an intelligent distributed edge ecosystem.

Sakyasingha recently took part in a webinar titled "Software, The Elephant in the Room for Edge AI Hardware Acceleration" - register for free to watch on-demand here

TRACK B: SOFTWARE INFRASTRUCTURE & ML APPLICATIONS
Generative AI
ML Ops
Systems

Author:

Sandeep Bakshi

Head of Europe Investments
Prosus Ventures

Sandeep Bakshi

Head of Europe Investments
Prosus Ventures

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

Head of MLOps
NatWest Group

Andrew McMahon

Head of MLOps
NatWest Group

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
15:00 - 15:30
NETWORKING BREAK
15:30 - 16:00
PARTNER PRESENTATION
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.

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.

PANEL
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.

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

Kai Zenner

Head of Office, Digital Policy Advisor
European Parliament

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