| Page 284 | Kisaco Research

This roundtable session comprises government officials, privacy organizations and vendors talking over how PETs is transforming data strategy, unlocking data collaboration opportunities and enabling a regulatory shift in the way data is viewed and used.

Author:

Joshua Rockoff

Senior Strategic Advisor
Red Krypton

Josh excels in decision-making, strategic planning, and implementing Consumer & Retail Commerce strategies across the omnichannel spectrum including Digital, Wholesale, Marketplaces, and Brick & Mortar. Josh is a 3x entrepreneur with successful exits with a web development agency, database marketing, and loyalty. He boasts an extensive leadership history advising private equity, venture capital, strategics, and public companies in traditional and digital marketing, brand positioning, transformation, and merchandising. Josh's stops include brands and retailers such as Diane Von Furstenberg, Urban Decay Cosmetics, Kmart, and Destination Maternity. His experience includes executive roles spanning manufacturing, beauty, cosmetics, SaaS, apparel, and luxury. Recently he served as interim CDO/CIO at the non-alcoholic retailer Boisson, managing digital commerce, customer service, merchandising, technology, omnichannel growth, retention, and performance marketing. Josh currently serves as a Senior Strategic Advisor at Red Krypton. He is an Adjunct Graduate Professor at the Fashion Institute of Technology and NYU’s School of Professional Studies. He graduated with honors from the University of Pennsylvania with a focus on Hellenistic Egyptology.

... read more

Joshua Rockoff

Senior Strategic Advisor
Red Krypton

Josh excels in decision-making, strategic planning, and implementing Consumer & Retail Commerce strategies across the omnichannel spectrum including Digital, Wholesale, Marketplaces, and Brick & Mortar. Josh is a 3x entrepreneur with successful exits with a web development agency, database marketing, and loyalty. He boasts an extensive leadership history advising private equity, venture capital, strategics, and public companies in traditional and digital marketing, brand positioning, transformation, and merchandising. Josh's stops include brands and retailers such as Diane Von Furstenberg, Urban Decay Cosmetics, Kmart, and Destination Maternity. His experience includes executive roles spanning manufacturing, beauty, cosmetics, SaaS, apparel, and luxury. Recently he served as interim CDO/CIO at the non-alcoholic retailer Boisson, managing digital commerce, customer service, merchandising, technology, omnichannel growth, retention, and performance marketing. Josh currently serves as a Senior Strategic Advisor at Red Krypton. He is an Adjunct Graduate Professor at the Fashion Institute of Technology and NYU’s School of Professional Studies. He graduated with honors from the University of Pennsylvania with a focus on Hellenistic Egyptology.

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.

... read more

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.

 

Matt Lewis

Global Chief Artificial and Augmented Intelligence Officer
Inizio Medical

Matt oversees the Artificial and Augmented Intelligence function across Inizio Medical, aligned to the Medical Analytics and Innovation department which he Founded and has led to its position of market leadership since 2016. With 25 years of life sciences experience, Matt specializes in partnering with key stakeholders to speed time to decision leveraging artificial intelligence, advanced analytics, digital innovation and bespoke consultancy. He has deep expertise in oncology/hematology, neuropsychiatry and rare disorders and has contributed to the launch of over 60 treatments globally.

Read full bio

Matt Lewis

Global Chief Artificial and Augmented Intelligence Officer
Inizio Medical

Matt Lewis

Global Chief Artificial and Augmented Intelligence Officer
Inizio Medical

Matt oversees the Artificial and Augmented Intelligence function across Inizio Medical, aligned to the Medical Analytics and Innovation department which he Founded and has led to its position of market leadership since 2016. With 25 years of life sciences experience, Matt specializes in partnering with key stakeholders to speed time to decision leveraging artificial intelligence, advanced analytics, digital innovation and bespoke consultancy. He has deep expertise in oncology/hematology, neuropsychiatry and rare disorders and has contributed to the launch of over 60 treatments globally.

Matt Co-Chairs the AI Task Force at the International Society for Medical Publication Professionals, where he oversaw the development and publication of the global roadmap and call to action on Artificial Intelligence, published on November 1st, co-authored the Declarative Statement on Artificial Intelligence for the Healthcare Communications Association, published in early October, was the featured speaker in 2023 for the Medical Affairs Professional Society Executive Consortium, on Augmented Intelligence, and helped to architect its Generative AI White Paper, published on September 28,  is a founding Board Member of the Society for Artificial Intelligence and Health, and is the Executive Lead for Inizio Medical’s Business Employee Resource Group on Mental Health and Wellbeing. He is a frequently requested Keynote Speaker on Artificial Intelligence, Medical Affairs and Mental Wellness.

 

Joshua Rockoff

Senior Strategic Advisor
Red Krypton

Josh excels in decision-making, strategic planning, and implementing Consumer & Retail Commerce strategies across the omnichannel spectrum including Digital, Wholesale, Marketplaces, and Brick & Mortar. Josh is a 3x entrepreneur with successful exits with a web development agency, database marketing, and loyalty. He boasts an extensive leadership history advising private equity, venture capital, strategics, and public companies in traditional and digital marketing, brand positioning, transformation, and merchandising.

Read full bio

Joshua Rockoff

Senior Strategic Advisor
Red Krypton

Joshua Rockoff

Senior Strategic Advisor
Red Krypton

Josh excels in decision-making, strategic planning, and implementing Consumer & Retail Commerce strategies across the omnichannel spectrum including Digital, Wholesale, Marketplaces, and Brick & Mortar. Josh is a 3x entrepreneur with successful exits with a web development agency, database marketing, and loyalty. He boasts an extensive leadership history advising private equity, venture capital, strategics, and public companies in traditional and digital marketing, brand positioning, transformation, and merchandising. Josh's stops include brands and retailers such as Diane Von Furstenberg, Urban Decay Cosmetics, Kmart, and Destination Maternity. His experience includes executive roles spanning manufacturing, beauty, cosmetics, SaaS, apparel, and luxury. Recently he served as interim CDO/CIO at the non-alcoholic retailer Boisson, managing digital commerce, customer service, merchandising, technology, omnichannel growth, retention, and performance marketing. Josh currently serves as a Senior Strategic Advisor at Red Krypton. He is an Adjunct Graduate Professor at the Fashion Institute of Technology and NYU’s School of Professional Studies. He graduated with honors from the University of Pennsylvania with a focus on Hellenistic Egyptology.

The National Institute of Health's modernized high-performance computing (HPC) capabilities enable significant innovations in scientific research. NIH's supercomputer Biowulf is the first and largest supercomputer completely dedicated to advancing biomedical research, and produced the first complete, gapless sequence of a human genome. Looking to the future, HPC's emerging scientific requirements include compatibility with petabyte-scale data, increased CPU computing, additional storage capacity, and flexibility. To face these challenges, HPC is exploring transformative technologies such as Gen AI and quantum computing to help improve the discovery of scientific research. This presentation will discuss the current state of HPC, limitations within HPC, and future exploration of Gen AI and quantum.

HPC
AI/ML Compute
Systems Infrastructure/Architecture

Author:

Xavier Soosai

Chief Information Officer
Center for Information Technology/National Institute of Health

As the Director of the Office of Information Technology Services of the Center for Information Technology (CIT), Soosai oversees ten service areas and the delivery of scientific research and business operations across the institutes and centers (ICs) at NIH. This includes maintaining the high-performance computing environment used by NIH intramural scientists; maintaining NIH’s secure, high-speed network; ensuring the viability and availability of collaboration services, compute hosting and storage services, identity and access management services, service desk support, and more for the NIH community. 

Soosai works with CIT leadership and internal service area managers and collaborates with NIH ICs to define scope and provide technical expertise, strategic planning, and leadership for local and enterprise IT projects that drive efficiency and innovation across NIH. Additionally, Soosai is responsible for directing the evaluation and adoption of rapidly evolving technology and forecasting future technology needs.

 

... read more

Xavier Soosai

Chief Information Officer
Center for Information Technology/National Institute of Health

As the Director of the Office of Information Technology Services of the Center for Information Technology (CIT), Soosai oversees ten service areas and the delivery of scientific research and business operations across the institutes and centers (ICs) at NIH. This includes maintaining the high-performance computing environment used by NIH intramural scientists; maintaining NIH’s secure, high-speed network; ensuring the viability and availability of collaboration services, compute hosting and storage services, identity and access management services, service desk support, and more for the NIH community. 

Soosai works with CIT leadership and internal service area managers and collaborates with NIH ICs to define scope and provide technical expertise, strategic planning, and leadership for local and enterprise IT projects that drive efficiency and innovation across NIH. Additionally, Soosai is responsible for directing the evaluation and adoption of rapidly evolving technology and forecasting future technology needs.

 

Compute Express Link (CXL) has risen as a promising interconnect technology that enables seamless high-speed, low-latency communication between host processors and various peripheral devices, making it attractive for memory-intensive applications. In this talk, we'll evaluate the performance characteristics of CXL memory in real-world environments using ASIC-based CXL memory. We then present our learnings from microbenchmarks, explore the potential use cases and evaluate their benefits from using CXL memory. Based on our comprehensive evaluations, we share our insights of how we may better utilize CXL memory to optimize the performance and cost of data center applications, as well as our vision for next-gen memory architecture leveraging new capabilities from CXL 2.0/3.x.

Emerging Memory Innovations
HBM/CXL
Systems Infrastructure/Architecture

Author:

Ping Zhou

Researcher/Architect
Bytedance Ltd.

Ping Zhou is a Senior Researcher/Architect with ByteDance, focusing on next-gen infrastructure innovations with hardware/software co-design. Prior to joining ByteDance, Ping worked with Google, Alibaba and Intel on products including Google Assistant, Optane SSD and Open Channel SSD. Ping earned his PhD in Computer Engineering at University of Pittsburgh, specializing in the field of emerging memory and storage technologies.

... read more

Ping Zhou

Researcher/Architect
Bytedance Ltd.

Ping Zhou is a Senior Researcher/Architect with ByteDance, focusing on next-gen infrastructure innovations with hardware/software co-design. Prior to joining ByteDance, Ping worked with Google, Alibaba and Intel on products including Google Assistant, Optane SSD and Open Channel SSD. Ping earned his PhD in Computer Engineering at University of Pittsburgh, specializing in the field of emerging memory and storage technologies.

Online commercial app marketplaces serve millions of apps to billions of users in an efficient manner. Bandit optimization algorithms are used to ensure that the recommendations are relevant, and converge to the best performing content over time. However, directly applying bandits to real-world systems, where the catalog of items is dynamic and continuously refreshed, is not straightforward. One of the challenges we face is the non-trivial computation costs for large scale systems, which is further aggravated by user privacy related constraints for server side computation. To address this problem we introduce an efficient two-layer bandit approach which is contextualized to user cohorts of similar taste. We mitigate cannibalization at runtime within a single multi-intent content surfacing platform by formalizing relevant offline evaluation metrics, and by involving the cross-component interactions in the bandit rewards. The framework allows flexibility for tradeoffs between compute, storage and accuracy of  models. The user engagement in our proposed system has more than doubled as measured by online A/B testings.

AI/ML Compute
Enterprise Workloads
Data Movement/Demands
Systems Infrastructure/Architecture

Author:

Puja Das

Senior Director, Personalization
Warner Bros. Entertainment

Dr. Puja Das, leads the Personalization team at Warner Brothers Discovery (WBD) which includes offerings on Max, HBO, Discovery+ and many more.

Prior to WBD, she led a team of Applied ML researchers at Apple, who focused on building large scale recommendation systems to serve personalized content on the App Store, Arcade and Apple Books. Her areas of expertise include user modeling, content modeling, recommendation systems, multi-task learning, sequential learning and online convex optimization. She also led the Ads prediction team at Twitter (now X), where she focused on relevance modeling to improve App Ads personalization and monetization across all of Twitter surfaces.

She obtained her Ph.D from University of Minnesota in Machine Learning, where the focus of her dissertation was online learning algorithms, which work on streaming data. Her dissertation was the recipient of the prestigious IBM Ph D. Fellowship Award.

She is active in the research community and part of the program committee at ML and recommendation system conferences. Shas mentored several undergrad and grad students and participated in various round table discussions through Grace Hopper Conference, Women in Machine Learning Program colocated with NeurIPS, AAAI and Computing Research Association- Women’s chapter.

... read more

Puja Das

Senior Director, Personalization
Warner Bros. Entertainment

Dr. Puja Das, leads the Personalization team at Warner Brothers Discovery (WBD) which includes offerings on Max, HBO, Discovery+ and many more.

Prior to WBD, she led a team of Applied ML researchers at Apple, who focused on building large scale recommendation systems to serve personalized content on the App Store, Arcade and Apple Books. Her areas of expertise include user modeling, content modeling, recommendation systems, multi-task learning, sequential learning and online convex optimization. She also led the Ads prediction team at Twitter (now X), where she focused on relevance modeling to improve App Ads personalization and monetization across all of Twitter surfaces.

She obtained her Ph.D from University of Minnesota in Machine Learning, where the focus of her dissertation was online learning algorithms, which work on streaming data. Her dissertation was the recipient of the prestigious IBM Ph D. Fellowship Award.

She is active in the research community and part of the program committee at ML and recommendation system conferences. Shas mentored several undergrad and grad students and participated in various round table discussions through Grace Hopper Conference, Women in Machine Learning Program colocated with NeurIPS, AAAI and Computing Research Association- Women’s chapter.

The presentation delves into the evolution, current state, and prospective developments within data-driven machine learning. In an era where data has ascended to the status of a pivotal resource, this presentation emphasizes its indispensable role in shaping the landscape of machine learning and how these changes have significantly influenced systems infrastructure.
Delving into the past, it meticulously examines the historical origins of data-driven modeling, charting its progression from rudimentary concepts to the intricate algorithms that underpin modern machine learning. The presentation illuminates early techniques like perceptrons and decision trees and elucidates their enduring impact on the field.
In the present, this presentation expounds upon the transformative influence of big data and deep learning, illuminating real-world applications while highlighting the associated challenges and opportunities that have engendered profound alterations in systems infrastructure.
As we look towards the future, this presentation provides invaluable insights into emerging trends and technologies such as quantum computing and edge AI, poised to redefine the future of machine learning and further revolutionize systems infrastructure.
By amalgamating theoretical insights, empirical observations, and forward-looking perspectives, this presentation offers a comprehensive overview of the past achievements, current dynamics, and potential future scenarios in the realm of data-driven machine learning, shedding light on how these changes have reshaped systems infrastructure.

Enterprise Workloads
AI/ML Compute
Emerging Memory Innovations

Author:

Rahul Gupta

AI Research Scientist
US Army Laboratory

Dr. Rahul Gupta has been working at the Army Research Lab for more than a decade. In his current position he is conducting research and development using Deep Learning Artificial Neural Network and Convolutional Neural Network. He joined ARL as a Distinguished Research Scholar and led several successful programs. He became a Fellow of the American Society of Mechanical Engineers in 2014. He is passionate about mentoring and team building with the goal of providing the Army the best possible technology to dominate today’s complex Multi-Domain Environment (MDE).

... read more

Rahul Gupta

AI Research Scientist
US Army Laboratory

Dr. Rahul Gupta has been working at the Army Research Lab for more than a decade. In his current position he is conducting research and development using Deep Learning Artificial Neural Network and Convolutional Neural Network. He joined ARL as a Distinguished Research Scholar and led several successful programs. He became a Fellow of the American Society of Mechanical Engineers in 2014. He is passionate about mentoring and team building with the goal of providing the Army the best possible technology to dominate today’s complex Multi-Domain Environment (MDE).