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

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


July 12th

July 12th

9:00 - 9:15 PT



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…

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,…

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…

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…

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…

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 machine learning platform, and highlight AI Blueprints, a new capability designed for software developers that can turn every developer…

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…

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.

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,…

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…

4:30 - 4:40 PT



4:40 - 5:00 PT

Happy Hour


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