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DISCOVER THE POWER OF GPU COMPUTING

From solving your greatest challenges with AI, to enabling your employees to work from anywhere, at any time, GPU accelerated computing will revolutionize your business. Join the Enterprise Innovation Day to discover how.

The day will start with an opening keynote from NVIDIA. Then, the Netherlands Cancer Institute will discuss how they are accelerating research into finding a cure for cancer by exploiting emerging digital technologies. They’ll share their first hand experiences of harnessing AI and virtualized compute within a software-defined data center.

You’ll then be able to choose from a number of breakout sessions covering the latest innovations in AI and deep learning, professional visualization, GPU virtualization, and high performance computing. The full agenda will be made available shortly.

Limited spaces are also available on our Deep Learning Institute track where you can learn the fundamentals of deep learning or CUDA with an instructor.

If you’re a C-level executive, decision maker, data scientist, or developer, you don’t want to miss this event.

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Sessions

Choose sessions and build your agenda for the Enterprise Innovation Days.

AI

State of the Nation


NVIDIA Keynote (English)

NVIDIA business leaders will discuss the impact COVID-19 is having on a number of industries, how businesses are responding, which technologies are helping and their outlook on opportunities for the future.

Presented by:
Jaap Zuiderveld, EMEA Vice President of Sales and Marketing at NVIDIA
Carlo Ruiz, EMEA Director - AI & Data Center Solutions at NVIDIA
Jason Southern, EMEA Director - Graphics Visualisation & Virtualisation at NVIDIA



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University Medical Center Hamburg-Eppendorf & bAIome: AI for Digital Pathology


Delta (German)

bAIome (the Center for Biomedical AI at the University Medical Center Hamburg-Eppendorf) aims to develop and apply cutting-edge AI algorithms to predict, understand, and cure disease.

In this session, you’ll learn more about bAIome’s 'ProstAId' project , which aims to develop a Clinical Decision Support System (CDSS) for prostate cancer using AI.

Presented by:
Dr. Anne Ernst, Institute for Medical Systems Biology at the University Clinic Hamburg-Eppendorf
Hans-Peter Hellmann, CEO DELTA Computer Products GmbH



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The journey to AI-Maturity: Why it is fiendishly hard to commoditize AI-development


appliedAI (German)

DESCRIPTION
The world has awakened to the promise of AI - and many now rush to be at the forefront of its development. Companies who started early to develop AI have realized by now that adopting a technology, that shakes many markets in their core-hypothesis is not a sprint, but a long marathon. In this talk, we explore the "journey to AI maturity", its many challenges, and share ideas of how to cope with some of the larger ones. We look at a variety of topics, from AI-application itself (e.g. user-experience) to the development-process (e.g. methodology and platforms) , to the nature of the AI-business (e.g. defendability). Most importantly we discuss the commoditization of AI and how some decisions, taken in early stages of this journey contradict the steps managers and developers alike must take when maturing.

Presented by:
Alexander Waldmann
Director of Technology and Operations at appliedAI




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Intelligent Networks for Scalable Machine Learning Systems


NVIDIA (German)

This talk will highlight the importance of the network for distributed machine learning. In addition to well-known network properties like bandwidth and latency this session will have a closer look at mechanisms like RDMA (Remote Direct Memory Access) and SHARP (Scalable Hierarchical Aggregation and Reduction Protocol) and their impact on performance.

Presented by:
Sebastian Kalcher, Staff System Engineer, Mellanox ConnectX Products at NVIDIA



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PROFESSIONAL VIRTUALIZATION


Modern Flexible Workspace Supports Students and Delivers State of the Art Learning Platforms


Fachhochschule Würzburg-Schweinfurt (German) 

In this session FHWS will share learnings from setting up a dynamic virtualized infrastructure to support thousands of students, highlighting how needs have changed during the COVID-19 pandemic.

Presented by:
Dipl.-Inf. (FH) Jürgen Kranz at Fachhochschule Würzburg-Schweinfurt



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The “Caterpillar Energy Solutions” Journey from Power Aggregators Construction with NVIDIA K2 to NVIDIA T4


SVA (German)

Many customers still underestimate VMWare's Blast Extreme Protocol with NVIDIA vGPU. But our use case with Caterpillar Energy Solutions demonstrates just how powerful this combination is. In this session, discover how its CAD and Technical Construction departments use VMWare and NVIDIA technology to enable better, more flexible collaboration on 2D and 3D construction projects.

Presented by:
Marco Hieronymus, Senior System Engineer at SVA



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The Two Main Accelerators for Every Business - GPUs and Cloud Compute


T-Systems International GmbH (German)

Cloud providers need to power a wide range of applications on their infrastructure. It is essential to approach these as dynamically as the public cloud itself.

In this session, we'll share our views on vGPU / GPU and how we position them in the public cloud. We'll also dive deeper into one customer's experience with GPUs in the cloud to help inspire you.

Presented by:
Max Guhl, Squad Lead Digital Science & Engineering at OpenTelekomCloud
Frederik Böhm, CTO at The Chainless GmbH



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VDI by Day – Compute by Night


SysGen (German)

Learn about how to set up a CAD virtualization environment and how to overcome hurdles during the installation. A remote demonstration will showcase a customer use case for PurPlan Maschinenbau and highlight future use cases involving AI.

Presented by:
Dieter Nikisch, Founder, sysGen GmbH
Dipl.-Ing Holger Rüße, Managing Director Mensch und Maschine



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Deep Learning Institute

9:00 Fundamentals of Deep Learning
9:30
10:00 Hello
10:30
11:00 hello2
11:30

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ANY QUESTIONS?


If you have any queries regarding the Enterprise Innovation Day, feel free to reach out below.

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Date & Time: Wednesday, April 22, 2018