oneAPI DevSummit for AI 2022

July 12, 2022 | 9:00 am - 5:00 pm PT

Are you a researcher, data scientist, or developer looking to build AI applications and seamlessly scale them from edge to cloud?

Join us for a day of discovery with renowned industry experts who will demystify the latest technologies, tools, trends, and techniques.

  • Drop-in optimizations across popular frameworks and libraries for deep learning, machine learning, and data analytics—TensorFlow, PyTorch, scikit-learn, and more.
  • Intel AI tools for end-to-end development—data preparation, training, inference, deployment, and scaling.
  • A hands-on workshop on dinosaur hunting (yes, you read that correctly)
  • Opportunities to attend tech talks and panel discussions with tech experts from Accenture, RedHat, and JD.com.

Expand your view and vision across the AI technology spectrum to get started on your development journey or supercharge your existing one.

Agenda

July 12th

July 12th

9:00 - 9:15 PT

Introduction

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Presenting
Susan Kahler
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Susan Kahler

Susan Kahler is a Product Marketing Manager for AI at Intel. She has her Ph.D. in Human Factors and Ergonomics, having used analytics to quantify and compare mental models of how humans learn complex operations. Throughout her well-rounded career, she has held roles in user centered design, product management, customer insights, consulting and operational risk. Susan recently completed her Master of Science in Analytics, focusing on healthcare analytics. She also holds a patent for a software navigation system to guide users through dynamically changing systems.

9:15 - 10:00 PT Keynote

AI Everywhere:  Scaling AI with End-to-End Productivity, Performance, Openness, and Security

As artificial intelligence transforms from niche to omnipresent, the increased diversity of use-cases and workloads presents an ever-expanding set of platform challenges. With a lot of AI today already running on Intel hardware, the tools and framework optimizations that make up Intel’s AI Software Portfolio can help chart your best path forward in AI. Learn how we are working with our ecosystem partners to deliver…
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Presenting
Wei Li
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Wei Li

Wei is responsible for AI software engineering and hardware co-design. His team has been instrumental in Intel’s multi-billion dollar AI revenue growth. He received his Ph.D. in Computer Science from Cornell University on supercomputers, and taught Advanced Compiling Techniques at Stanford University.
As a performance software technologist, he leads teams on deep learning, statistical machine learning and big data analytics, as well as AI acceleration on CPU, GPU, and XPU architectures with heterogenous and distributed computing. His team won competitions and set performance world records in AI, data analytics and high performance computing, and shipped software running on hundreds of millions of computers. He is passionate about product vision, strategy, execution, and technology innovation.

Jean-Luc Chatelain
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Jean-Luc Chatelain

Jean-Luc Chatelain is the CTO of Accenture Applied Intelligence and leads the innovation and technology strategy focused on artificial intelligence, advanced analytics and cognitive automation. With the strength of a global and diverse team of designers, engineers & data scientists he leads the development and roadmap of our flagship system of intelligence solution, the Applied Intelligence Platform (AIP+). With it, our clients are enabled to be data driven, AI powered and leverage all trusted data to discover actionable insights, inform their business processes and deliver new & accretive business outcomes.

10:00 - 10:30 PT

Enabling AI Developers on their Journey to Scale with Intel AI

Building and scaling AI systems quickly is becoming increasingly critical in organizations’ ability to compete and grow. AI developers face some common challenges in scaling AI including building efficient data and AI infrastructure, acquiring quality datasets, developing high performing trustable models, and deploying scalable inference engines in production. Rapid deployment expectations only adds to those challenges and forces faster AI development cycles. During this talk,…
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Presenting
Ramtin Davanlou
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Ramtin Davanlou

As a part of Accenture’s Applied Intelligence group, Ramtin Davanlou leads the development of global offering and solutions in analytics and artificial intelligence. His key responsibility is to drive growth in AI through innovation and thought leadership. He works with ecosystem partners and provides optimized solutions and technology architecture recommendations to clients in various industries.

10:30 - 10:45 PT Break

10:45 - 11:15 PT

Exploration on Confidential Computing for Big Data & AI

Intel Software Guard Extensions (SGX) provides a hardware protect environment for confidential computing. However, migrating applications into SGX is not an easy job, it requires engineer effort as well as good understand about security and SGX. In this talk, we will present a memory-safe, multi-process SGX LibOS solution named Occlum to address this pain point. This open source LibOS project, leaded by Ant Group, aims…
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Presenting
Chunyang Hui
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Chunyang Hui

Chunyang Hui is a software engineer of Ant Group and is now working on Occlum, a memory-safe, multi-process library OS for Intel SGX. His current main interest is system security. Before joining Ant Group, Chunyang was a cloud engineer at Intel focusing on I/O acceleration.

Qiyuan Gong
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Qiyuan Gong

Dr. Qiyuan Gong, AI Framework Engineer, Intel. He joined Intel in 2017 after he finished his PhD in Southeast University where he focused on data anonymization & privacy. He is a key contributor to open source Big Data + AI project BigDL (https://github.com/intel-analytics/BigDL), Analytics-Zoo (https://github.com/intel-analytics/analytics-zoo) and Big data project SSM (https://github.com/Intel-bigdata/SSM).  Now at Intel, he is working on Privacy Preserving Machine learning, Federated Learning and BigDL Cluster Serving etc.

11:15 - 11:45 PT

Empowering AI on Red Hat OpenShift Data Science With Intel® AI Analytics Toolkit and OpenVINO™ toolkit

Data science and machine learning are helping drive business decisions and generate insights for organizations across a spectrum of industries. However, developing and deploying highly-performant ML workflows can be challenging. Learn how Intel and RedHat have partnered together to enable Intel’s AI developer tools and performance optimizations (that are powered by oneAPI) on the RedHat OpenShift Data Science (RHODS) platform. In this session, you will…
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Presenting
Audrey Reznik
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Audrey Reznik

Audrey Reznik is a Sr. Principal Software Engineer in the Red Hat Cloud Services – OpenShift Data Science team focusing on managed services, AI/ML workloads and next-generation platforms.  She has been working in the IT Industry for over 20 years in full stack development to data science roles.

As a former technical advisor and data scientist Audrey has been instrumental in educating data scientists and developers about what the OpenShift platform is and how to use OpenShift containers (images) to organize, develop, train and deploy intelligent applications using MLOps.  She is passionate about Data Science and in particular the current opportunities with ML and Open Source technologies.

Sean Pryor
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Sean Pryor

Sean Pryor is a Sr. Software Engineer at Red Hat, working on OpenDataHub and Red Hat Open Data Science integrating ISV partners.

11:45 - 12:15 PT Break

12:15 - 12:35 PT

Intel Optimized Libraries for AI: Our Fast Track to oneAPI

Aible provides developers, data scientists, ML engineers, and their business teams an end-to-end data analytics and autoML platform with the goal of going from raw data to valuable insights in hours and to measurable business impact in one month or less – guaranteed. As such our development investment needs to cover a wide range of areas including User Experience, data transform and feature engineering, business-driven model…
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Presenting
Rod Butters
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Rod Butters

Rod Butters, Chief Technology Officer for Aible, brings 20 years of CTO, CMOP and CPO experience to the Aible Team, including successfully delivering enterprise apps, infrastructure and cloud solutions to market, from concept to market leadership. He has pioneered new categories in Application Servers (Oracle), Multi—channels Contact Center (Aspect Communications), IT Automation (Tidal Software, acquired by Cisco), and flash virtualization (RNA Networks, acquired by Dell). Prior to Aible, Rod was CTO of Kenandy where he architected, built and deployed Cloud ERP on the Salesforce Platform for a solution that could uniquely scale from mid-sized companies to $2B+ enterprises without worrying about the underlying infrastructure.

12:35 - 12:55 PT

How to Quickly Build Production-Ready ML Solutions

In this session we will talk about the challenges faced by developers that would like to enhance their applications with AI and ML. We will talk about how developers are quickly becoming the main drivers of AI transformation. We will give an overview of the cnvrg.io machine learning platform, and highlight AI Blueprints, a new capability designed for software developers that can turn every developer…
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Presenting
Michael Galarnyk
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Michael Galarnyk

Michael Galarnyk works on AI Blueprints at cnvrg.io pre-built, open-source ML pipelines that can be quickly integrated with any application. In his spare time, he teaches Python based Machine Learning classes through Stanford Continuing Studies and LinkedIn Learning. You can find him on Twitter, Medium, and GitHub.

12:55 - 1:15 PT

Optimizing model inference on CPU

Today, almost all quality control and assurance are done completely manually. Whole teams sit and go through image by image to find potential issues, spending up to 30% of their effective time on this one task. The AI Consensus Scoring at Hasty aims to find potential issues, and then a user can accept or reject our suggestions. The setup relies on GPUs because otherwise, it takes too…
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Presenting
Bogdan Zhurakovskyi
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Bogdan Zhurakovskyi

Bogdan is a Machine Learning Engineer at Hasty.ai. He received his PhD from National Technical University of Ukraine ‘Kyiv Polytechnic Institute’.​

1:15 - 1:45 PT oneAPI AI Technical Advisory Board (TAB) Talk

Accelerating TensorFlow with oneDNN

TensorFlow is an end-to-end open-source machine learning framework by Google. This talk will highlight Google and Intel’s collaboration on accelerating TensorFlow on x86 CPUs with oneDNN framework. We will cover support for new neural-network-focused hardware features such as int8 and bfloat16 vector and matrix extensions, including demonstrating select workload speedups.
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Presenting
Penporn Koanantakool
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Penporn Koanantakool

Penporn Koanantakool is a senior software engineer at Google. She leads TensorFlow’s performance optimization collaboration with Intel. Penporn holds a Ph.D. in computer science from the University of California, Berkeley, and a B.Eng. in computer engineering from Kasetsart University, Thailand.

1:45 - 2:15 PT

The World's Largest Deep Learning Challenge at Supercomputer Fugaku

Deep learning is developing rapidly, and the computational requirements for model development continue to increase. This is due to the fact that computationally intensive learning is performed over and over again by changing hyper-parameters and other conditions. Therefore, to further improve the performance of deep learning, it is important to develop learning techniques that take advantage of high-performance systems with many computers, such as supercomputers,…
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Presenting
Kentaro Kawakami
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Kentaro Kawakami

Kentaro Kawakami is the Senior Researcher at Platform Innovation project, Fujitsu Laboratories Ltd. He joined Fujitsu Laboratories in 2007. He has been involved in R&D of image codec LSIs and wireless sensor nodes, and is currently engaged in R&D of AI software for Arm HPC. His department is involved in researching and developing techniques to accelerate deep learning (DL) processes on Fugaku, PRIMEHPC FX1000/700 and GPU-based supercomputers. His GitHub account name is “kawakami-k”. Kawakami-san lives in Japan and loves cats.

2:15 - 2:30 PT Break

2:30 - 4:30 PT Hands-on Workshop

Hunting Dinosaurs with Intel AI Technologies

In this workshop, we will explore an end-to-end AI application with the goal of creating a dinosaur bone bed likelihood map to help guide your next dinosaur hunt! Join us as we use machine learning algorithms, powered by oneAPI, such as Intel Extension for Scikit-learn, NumPy, and OpenVINO as part of this AI dinosaur adventure. We will first use Intel Extension for Scikit-learn to preprocess metadata and experiment with…
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Presenting
Bob Chesebrough
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Bob Chesebrough

Robert Chesebrough is currently a Technical Evangelist in the Intel Developer Academy. His educational background is physics. His industry experience has been software development and application/performance engineering for fortune 100 companies and national laboratories for over three decades. He is a data scientist, using machine learning/ deep learning for eight years while working for Intel and other high-tech companies.

Raymond Lo
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Raymond Lo

Raymond Lo is the software evangelist at Intel focusing on the OpenVINO toolkit. Previously, Raymond was the founder and CTO of Y Combinator-backed augmented reality company Meta, the technology evangelist for Samsung NEXT, and Technical Solutions Consultant for Google Cloud AI. During his PhD, Raymond worked with Prof Steve Mann, who is widely recognized as the father of wearable computing from MIT Media Lab. Together they published numerous of research papers on the topic of GPGPUs, open-source HDR videos, and open-source wearable computing projects in the University of Toronto. In 2013, Raymond took his augmented reality (AR) eyeglasses invention and functional prototype from Toronto and co-founded Meta that raised over $80 million for their pioneering development of augmented reality eyeglasses. As the CTO of Meta, he successfully developed and shipped Meta 1 and Meta 2 with a team of over 150+ people. As the executive and Evangelist, he had the opportunity to speak at conferences such as TED talk, SIGGRAPH, Tencent WE Summit, and Hello Tomorrow. His unique combination of startup entrepreneurship and enterprise experiences helped Raymond to create connections to hundreds of startups and thousands of developers around the world.

Rahul Unnikrishnan Nair
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Rahul Unnikrishnan Nair

Rahul is a Machine Learning Architect at Intel, with ten years of experience in data science, Machine Learning, and four years in applied Deep Learning. He joined Intel seven years ago in the OpenStack Cloud team after finishing a Master’s degree in computer engineering at the University of Texas. As a core member of the OpenStack security group, Rahul built tools for automated security analysis on the cloud. Following that, he joined the AI group in the Opensource Technology Center to develop Deep Learning and Deep Reinforcement Learning algorithms optimized for Intel CPUs. In this role, he developed Deep Learning pipelines that scale on the cloud, worked with startups, OEMs, and internal intel teams in optimizing AI workloads on Intel hardware, and open-sourced the learnings and code externally as blogs and code on GitHub. Rahul was also part of an Intel incubation startup as the technical lead in developing an AI platform for drug discovery, focusing on system design for AI and scaling machine learning solutions on the cloud. He was the architect and technical lead of the first group at Intel to release deep learning containers and held the role of container architect for oneAPI products.

4:30 - 4:40 PT

Conclusion

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Presenting
Susan Kahler
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Susan Kahler

Susan Kahler is a Product Marketing Manager for AI at Intel. She has her Ph.D. in Human Factors and Ergonomics, having used analytics to quantify and compare mental models of how humans learn complex operations. Throughout her well-rounded career, she has held roles in user centered design, product management, customer insights, consulting and operational risk. Susan recently completed her Master of Science in Analytics, focusing on healthcare analytics. She also holds a patent for a software navigation system to guide users through dynamically changing systems.

4:40 - 5:00 PT

Happy Hour

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Presenting
Emma Mai
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Emma Mai

Emma Mai is a Developer Engagement Marketing Manager in the Developer Relations & Engagement Team in the Intel Software and Advanced Technology Group. Previously, she was a Community Development Program Manager intern in the Intel Architecture, Graphics, and Software Group and a Social Marketing Intern in the NVIDIA Jetson – AI & Robotics team at NVIDIA. In her current role at Intel, she manages the Intel Software/Developer Zone social media channels and creates strategies to drive engagement with the software developer audience supporting Intel’s exciting new oneAPI initiative. Emma graduated from University of California, Berkeley, Haas School of Business with concentrations in marketing, technology and entrepreneurship.