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Andrea Winders

"This was the friendliest, most productive event that I have attended in quite a while. The number of senior people from either innovators or large companies was helpful, and I feel that I have left with several opportunities for collaboration."

Annie Thériault

"The Women's Health Innovation Summit Europe brings together an international community of women's health entrepreneurs, investors and strategic partners. It's a great place to catch-up with industry colleagues and meet  potential investee companies.  We're pleased to be involved with this community."

Advancing the Global PETs ecosystem –  Galvanizing research, venture capital and policy efforts siloed across countries to accelerate PETs towards mainstream adoption. This talk explains the non-technical factors impeding PETs adoption and concrete steps public and private leaders across borders can take to alleviate them.

Author:

Adhiraj Saxena

Senior Lead, Business Technology Incubation, Singapore IMDA
IMDA

Adhiraj is from the Singapore Government’s IMDA agency. He is the senior lead for its PET unit. As member of the PET Summit’s board, he helped bring the inaugural Asia Pacific PET Summit to Singapore in 2022. He sits in OECD’s PET Experts Workgroup to advice the G7 strategy on trusted data flow and AI safety. He has a background in data science and product development.

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Adhiraj Saxena

Senior Lead, Business Technology Incubation, Singapore IMDA
IMDA

Adhiraj is from the Singapore Government’s IMDA agency. He is the senior lead for its PET unit. As member of the PET Summit’s board, he helped bring the inaugural Asia Pacific PET Summit to Singapore in 2022. He sits in OECD’s PET Experts Workgroup to advice the G7 strategy on trusted data flow and AI safety. He has a background in data science and product development.

 

Bob Friday

Chief AI Officer
Juniper Networks

Bob Friday

Chief AI Officer
Juniper Networks

Bob Friday

Chief AI Officer
Juniper Networks
 

Dat Ngo

Machine Learning Engineer
Arize AI

Dat Ngo is a data scientist and machine learning engineer who works directly with Arize AI users to evaluate and troubleshoot generative AI applications. Before Arize, Ngo led strategic data science efforts at PointPredictive, alliantgroup, and Wood Mackenzie. Ngo has a Master of Science in Applied Statistics from Texas A&M University.

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Dat Ngo

Machine Learning Engineer
Arize AI

Dat Ngo

Machine Learning Engineer
Arize AI

Dat Ngo is a data scientist and machine learning engineer who works directly with Arize AI users to evaluate and troubleshoot generative AI applications. Before Arize, Ngo led strategic data science efforts at PointPredictive, alliantgroup, and Wood Mackenzie. Ngo has a Master of Science in Applied Statistics from Texas A&M University.

 

Sarah Luger

Co-Chair, Data Sets Working Group
MLCommons

Sarah Luger host of the AI Artifacts podcast (www.aiartifacts.net) and the Co-Chair of the Data Sets Working Group for AI benchmarking organization, MLCommons. Data Sets Working Group continues the research initiated with the Rigorous Evaluation of AI Systems workshop series at AAAI Human Computation and AAAI conferences. The goal is to develop robust schemas and infrastructure supporting the Open Source hosting of benchmark evaluation data sets.

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Sarah Luger

Co-Chair, Data Sets Working Group
MLCommons

Sarah Luger

Co-Chair, Data Sets Working Group
MLCommons

Sarah Luger host of the AI Artifacts podcast (www.aiartifacts.net) and the Co-Chair of the Data Sets Working Group for AI benchmarking organization, MLCommons. Data Sets Working Group continues the research initiated with the Rigorous Evaluation of AI Systems workshop series at AAAI Human Computation and AAAI conferences. The goal is to develop robust schemas and infrastructure supporting the Open Source hosting of benchmark evaluation data sets. The group aims to provide free storage for researchers who have human-generated data (spoken word data is the current focus) of generally high quality.

Sarah is a Contributing Member of the MLCommons AI Safety Stakeholder Engagement, Benchmarks and Tests, and Platform Technology working groups. This nonprofit engineering consortium guides the ML industry by developing benchmarks, public datasets, and best practice.

Her current AI Safety work focuses on building LLM Safety Test Sets, Creating Scoring System, and Running Benchmarks. Sarah is leading the subsequent work automating the translation of safety test prompts into in low-resource languages.

 

Niamh Gavin

Head of Applied AI
Groq

Niamh Gavin

Head of Applied AI
Groq

Niamh Gavin

Head of Applied AI
Groq
 

Hussain Chinoy

Technical Solutions Manager, Applied AI Engineering
Google

Hussain has a background in linguistics and software applications and has been working on building speech and conversational systems for the last 20 years. As a Technical Solutions Manager for Generative AI on the Applied AI Engineering team he focuses on combining Google Cloud services into solutions that accelerate customers usage of AI, including Generative AI for Marketing, Customer Experience, and Website Modernization. His technical areas of interest are in Conversation, Ethics and Governance, and application architecture.

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Hussain Chinoy

Technical Solutions Manager, Applied AI Engineering
Google

Hussain Chinoy

Technical Solutions Manager, Applied AI Engineering
Google

Hussain has a background in linguistics and software applications and has been working on building speech and conversational systems for the last 20 years. As a Technical Solutions Manager for Generative AI on the Applied AI Engineering team he focuses on combining Google Cloud services into solutions that accelerate customers usage of AI, including Generative AI for Marketing, Customer Experience, and Website Modernization. His technical areas of interest are in Conversation, Ethics and Governance, and application architecture. Hussain joined Google in 2020 as an application modernization and AI specialist.