Programm der Fachforen

OOP Fachforen

Track: intel Track

Nach Tracks filtern
Alle ausklappen
  • Mittwoch
    08.02.
  • Donnerstag
    09.02.
14:30 - 15:15
FMi2.5
Bring AI superpowers to Address Complex Workloads
Bring AI superpowers to Address Complex Workloads

In collaboration with Accenture*, Intel is launching a series of trained AI reference kits to the open source community to help enterprises innovate and accelerate their digital transformation journey. With these kits, Intel further builds upon the AI application tools it provides to data scientists and developers.

Carsten Schuckmann is part of Accenture’s Cloud First Applied Intelligence group, who strives to help Accenture clients implement transformative cloud-first offerings, leading with a focus on technical innovations and TCO optimization.  Carsten’s key focus is to enable growth across EMEA clients in cloud adoption and AI innovation through thought leadership.
Carsten works closely with Intel and other key ecosystems partners and providers to bring optimization solutions and technology recommendations to Accenture’s clients across various industries.

Christian Kohlschein is working with Accenture’s Industry X division, where he and his team focus on building industrial analytics solutions, with an emphasis on the automotive industry. Christian holds a diploma degree in computer science and an engineering PhD, both from RWTH Aachen University.

Philipp Millet is working in Accenture's Industry X division, where he builds industrial analytics solutions with an emphasis on the automotive industry.  Philipp has a PhD in particle physics from the RWTH-Aachen University

Carsten Schuckmann, Christian Kohlschein, Philipp Millet
Carsten Schuckmann, Christian Kohlschein, Philipp Millet
Vortrag: FMi2.5
flag VORTRAG MERKEN
17:00 - 17:45
FMi2.6
Accelerate Automotive Innovation using AI
Accelerate Automotive Innovation using AI

This session will provide insights on how the automotive industry makes use of AI within its ongoing digital transformation process. We will begin the session with an overview of the general challenges in introducing data-driven systems to the complex environment of the automotive industry and then continue to exemplify these through two specific domains, where we will talk solutions and present AI use cases.

 

Carsten Schuckmann is part of Accenture’s Cloud First Applied Intelligence group, who strives to help Accenture clients implement transformative cloud-first offerings, leading with a focus on technical innovations and TCO optimization.  Carsten’s key focus is to enable growth across EMEA clients in cloud adoption and AI innovation through thought leadership.
Carsten works closely with Intel and other key ecosystems partners and providers to bring optimization solutions and technology recommendations to Accenture’s clients across various industries.

Christian Kohlschein is working with Accenture’s Industry X division, where he and his team focus on building industrial analytics solutions, with an emphasis on the automotive industry. Christian holds a diploma degree in computer science and an engineering PhD, both from RWTH Aachen University.

Philipp Millet is working in Accenture's Industry X division, where he builds industrial analytics solutions with an emphasis on the automotive industry.  Philipp has a PhD in particle physics from the RWTH-Aachen University

Carsten Schuckmann, Christian Kohlschein, Philipp Millet
Carsten Schuckmann, Christian Kohlschein, Philipp Millet
Vortrag: FMi2.6
flag VORTRAG MERKEN
10:00 - 10:45
FDo2.2
How to accelerate Classical Machine Learning on Intel Architecture
How to accelerate Classical Machine Learning on Intel Architecture

In this session, we will cover the Intel-optimized libraries for Machine Learning. Python* is currently ranked as the most popular programming language and is widely used in Data Science and Machine Learning. We will begin by covering the Intel® Distribution for Python and its optimizations. We will then cover the optimizations for ML Python packages such as Modin, Intel® Extension for Scikit-learn and XGBoost. The presentations will be accompanied with demos to showcase the performance speedup

Vladimir Kilyazov is AI Software Solutions Engineer at Intel with notable experience in different domains, including Computer Vision and Speech Processing. Vladimir is awardee of many ML contests and hackathons including Intel OpenVINO Hackathon, IDR&D Anti-Spoofing Challenge, Junction Hackathon.

Vladimir Kilyazov
Vladimir Kilyazov
Vortrag: FDo2.2
flag VORTRAG MERKEN
11:00 - 11:45
FDo2.3
How to accelerate Deep Learning on Intel Architecture
How to accelerate Deep Learning on Intel Architecture

In this session, we will look at the optimizations of Deep Learning frameworks such as Tensorflow and PyTorch, how we upstream them to their respective stock version as well as how to use the Intel extensions to enable extra features such as mixed-precision and running Deep Learning computations on Intel dGPU. We will also present the Intel Neural Compressor, i.e., a comprehensive software tool kit that  offers a plethora of optimization for neural networks, such as quantization, pruning, graph optimizations, etc. …

My name is Akash Dhamasia, I am a AI Software Solutions Engineer at Intel Corporation based in Munich Germany. Me and my team help customers in optimizing their AI/ML workloads on Intel Hardware through various Intel tools at all the stages of their AI/ML pipeline. In my former position, I was a Research Scientist at Intel Labs and worked on the development of safer and more fault-tolerant DNNs for use cases like trajectory prediction and object detection in autonomous driving. Outside of work, I enjoy travelling to different countries, hiking, practicing yoga and playing badminton. I look forward to our interaction on various AI Intel optimization tools at OOP conference.

Akash Dhamasia
Akash Dhamasia
Vortrag: FDo2.3
flag VORTRAG MERKEN
13:15 - 14:15
FDo2.4
C++ for multi-accelerator, multi-vendor systems
C++ for multi-accelerator, multi-vendor systems

Free up your C++ code to work on multi-accelerator systems from any vendor.  It is easy to use C++ not only for CPU, but also for GPU, FPGAs and other accelrator.  oneAPI industry initiative is taking C++ to a heterogeneous and parallel computing future with SYCL.  SYCL takes programmers out of proprietary languages to an open-source open-vendor cross device world.  Understand the motivation and the vision behind SYCL, learn and see demos of the basics of SYCL to get started. And hear success stories from companies, universities and national labs who are already using SYCL.

Guy Tamir is a technology evangelist at Intel Software and Advanced Technology group. His main areas of interest and expertise are Artificial Intelligence, Computer vision, Video processing, and Heterogeneous, multi-accelerator parallel computing. In addition, Guy is an active YouTuber with the OpenVINO and oneAPI video channel that just passed 3 million viewers recently. Guy holds an M.Sc. (EE, Technion) and MBA (Open University). Channel link: https://youtube.com/playlist?list=PLg-UKERBljNxsCltpcXU_Haz9xQSCN_SB

Guy Tamir
Guy Tamir
Vortrag: FDo2.4
flag VORTRAG MERKEN
14:30 - 15:15
FDo2.5
How far are existing cloud-providers from delivering a truly cloud native experience?
How far are existing cloud-providers from delivering a truly cloud native experience?

Cloud native is nothing more than a buzzword. Like many buzzwords there is no uniform definition. We will take a solution focused look at the options for shipping cloud native infrastructure in 2023. Bare metal and virtual machines have equally little to do with cloud native as Docker and Kubernetes. These iterations can make shipping great software easier, but they are far from cloud native. We will focus on the following questions: - What will be the next iteration after Kubernetes? - What benefits and also disadvantages can be expected from these new iterations? - Which target groups will profit from these developments? - What do we think will be key for the cloud native breakthrough in the coming years?

At Codesphere Tim is working on building infrastructure capable of driving the cloud native breakthrough in building and shipping software. Previously Tim was working on Kubernetes Services at SAP. Tim’s team at Codesphere bundles expertise of former Google Engineers innovate on and build better Kubernetes drivers from the ground up. This allows Codesphere to innovate where existing cloud providers can’t.

Tim Schrodi
Tim Schrodi
Vortrag: FDo2.5
flag VORTRAG MERKEN

Zurück