Hello <<Salutation>> Reader,  

The ISC Cloud & Big Data Conference, which will take place in Frankfurt, Germany from September 28 through September 30, is now just two months away. In this issue we would like to highlight all the workshops that we will be offering at this year’s event.

Following the workshop, we will offer two full days of sessions, panels and lots of discussions in the Industry, Business and Research tracks. The event will also host a small exhibition on Tuesday, September 29, and Wednesday, September 30. We hope you are planning to attend.

As an attendee, you can either combine the passes or purchase the workshop pass separately for 145 Euros during the early-bird registration, which comes to an end on August 19. We describe the six half-day workshops below.

Best regards,



Martin Meuer
Managing Director
ISC Group
# Workshop 1

Using GPUs for Deep Learning – A Hands-On Introduction to Deep Learning for Accelerating Deep Learning on a GPU Cluster

This Monday morning workshop will describe how GPU-powered clusters are being used to accelerate training and development of Deep Learning systems.  The focus will be on convolutional neural networks (CNN), with examples in imagery and signal processing. Different tools for developing CNNs will also be discussed. To wrap up the workshop, a hands-on lab will be conducted that will allow attendees to employ GPU acceleration for their own Deep Learning applications.
# Workshop 2

Amazon Web Services Tutorial – Securing HPC in the Cloud

In this workshop, representatives from Amazon will describe the practical aspects of deploying HPC applications in the AWS Cloud. The talk will also outline how to use the account management, audit logging and encryption functions available on the platform. Attendees will come away with the knowledge of how they can quickly deploy an HPC cluster that makes use of all of the discussed practices.
# Workshop 3

Working in a Fairytale Country – Towards Becoming a Data Scientist

This workshop will focus on the role of the data scientist, a relatively recent job category, but one that is at the heart of Big Data efforts. Attendees will learn about what a data scientist do and the skills needed to become one. The discussion will pay special attention to the role data scientists’ play in helping companies transform their business processes. The workshop will consist of talks, interactive discussions, and hands-on tutorials.
# Workshop 4

HPC Cloud Solutions for Manufacturing

This workshop will focus on the role of the data scientist, a relatively recent job category, but one that is at the heart of Big Data Competitiveness in manufacturing often hinges on a company’s ability to effectively purchase and harness HPC resources. This workshop will impart the knowledge and tools necessary to acquire those capabilities, with a special emphasis on small and medium-sized enterprises (SMEs). The discussion will be joined by three European projects (CloudSME, Fortissimo and CloudFlow), who are working to support manufacturing SMEs when using HPC clouds. Case studies will be presented that illustrate the advantages that cloud-based HPC brings to the manufacturing sector.
# Workshop 5

Amazon Web Services Tutorial – Large Scale Data Analytics with Amazon Web Services

In this workshop, AWS will explain how to most effectively derive value from your data. The talk will walk you through specific examples to illustrate best practices, with special consideration given to removing storage constraints, analyzing the data, deriving actionable intelligence, and sharing the results.
# Workshop 6

Docker Containers for Scientific & Engineering Applications – A New Era of Packaging, Delivering & Accessing Complex Software

This workshop will provide an introduction to Docker containers, one of the most compelling new technologies being adopted in HPC cloud environments.  The discussion will encompass how Docker impacts system operation and the underlying infrastructure. Also discussed will be how to use Docker for software development, testing and verification. A genomics workflow will provide an example of how to use the technology for a real-world application. Docker’s use in UberCloud will also be featured. The second half of the workshop will delve into how Docker operates in different cloud and data center software environments.

Two other workshops will be determined from the submissions we have received so far.
Press Accreditation

If you are interested in attending the event as a member of the press, please get in touch with our PR Manager, Ms Nages Sieslack at nages.sieslack@isc-events.com.
An Interview with Our First Keynote Speaker, Dr Jan Vitt

As head of infrastructure at DZ BANK, Dr. Jan Vitt is cautiously leading the conservative German financial institution’s investment into the Cloud. Headquartered in Germany, DZ BANK must adhere to the German security regulations as well as the European Union protocols. However, DZ BANK does operate several private and public clouds, a topic Vitt will discuss in his keynote at ISC Cloud & Big Data on Tuesday, September 29. In this interview, we asked Dr. Vitt to talk about DZ Bank’s experiences in the Cloud and the related technology challenges confronting financial institutions.

Enterprise Technology: What kinds of regulations are in place in Europe that you believe is inhibiting the use of cloud computing by the financial industry?
 
Dr. Jan Vitt: We don’t look that much into Europe. We go straight to German regulations, which are usually derived directly from European law. The German banking authorities do have a bias against IT outsourcing in general. Roughly speaking, they require us to control and monitor an outsourcing partner in the same way we would do for an internal department. Cloud computing as a certain subset of IT outsourcing is even less favored.
 
This results for example in: You need to know the system administrators by name. You must make sure that they are trained appropriately to do what they are supposed to do. We permanently need to know where exactly our data is stored. Here, we are talking of certain servers – not a country or a datacenter location. Access to the data must be limited to only those persons who need that access. And this set of persons needs to be minimal. We need to provide all kinds of reports logging information from the cloud provider to the banking authority. This comprises standard reports and surprise requests on short notice.
Of course, in theory this could all be added to the standard cloud services. But isn’t the operating model of a cloud provider based on complete standardization, with no room for this kind of extra wishes?

For the full interview on EnterpriseTech, click here.
 
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