OVERVIEW

Join us for an in-person inspirational session on OpenShift AI

We would like to invite you to our in-person inspirational session on OpenShift AI, where Red Hat's AI/ML experts will guide you through an overview of how Red Hat can help you simplify the onboarding of AI/ML projects, providing an easy solution for data scientists and data engineers. 

Red Hat offers a completely open source and environment-agnostic Kubernetes-based solution that enables model development, training and operation with Red Hat OpenShift AI, formerly known as Red Hat OpenShift Data Science. Red Hat® OpenShift® AI is a flexible and scalable MLOps platform with tools to develop, deploy and manage artificial intelligence applications. Built using open source technologies, it offers reliable, operationally consistent features for teams to experiment, present models, and deliver innovative applications.
 
The session, which we will hold in-person in Utrecht, will include both a strategic overview and key use cases for our customers based on OpenShift Container Platform, OpenShift AI and Red Hat's certified partner ecosystem. The session is meant for our customers who are interested in learning more about OpenShift AI, and might be especially interesting for IT Operations Leaders, AppDev ITDM, Data Scientists, Data Engineers, ML Engineers and Architects.
 

AGENDA

Date: Thursday 11 April 2024
Time: 13.00 - 18.00
 

Time

Session
13.00 - 13.30 WELCOMING & REGISTRATION
13.30 - 14.00 
OPENING KEYNOTE
Addressing key AI challenges using open source & Kubernetes 
by Kristoffer Naerland
14.00 - 15.00 
OVERVIEW & DEMO 
Bringing AI to business critical applications without losing control of your customer data. 
Architecting an LLM RAG application using MLops on Red Hat OpenShift AI
by Sander Snel & Kyra Goud
15.00 - 15.30  BREAK 
15.30 - 16.00 
CUSTOMER CASE: SSAB
SSAB is a high tech producer of special steel. In this case you will learn how SSAB is developing solutions for multiple use cases related to the use of AI within their organization. 
by Andreas Bergqvist 
16.00 - 16.30 
INSPIRATIONAL CASE
How AI Sweden* accelerates the use of AI in collaboration with Red Hat. An interview with Agneta Jacobson, Director Strategic Partnerships at AI Sweden
In this slot, we will also introduce the Dutch equivalent of AI Sweden, the NL AI Coalition. Kees van de Klauw will give you a brief introduction to the NLAIC, how the coalition partners are working together and emphasize the importance of open source for the Netherlands and the EU.
by Andreas Bergqvist
16.30 - 18.00 NETWORKING DRINKS & BITES
18.00  END OF THE EVENT
* AI Sweden is the national center for applied AI and invests in generating tools and resources to accelerate the use of AI for the benefit of the society, the competitiveness, and everyone living in Sweden. To achieve this, they run projects of national interest together with their partners in areas such as information-driven healthcare, decentralized AI, edge learning in space, and language models for the Swedish language.

SPEAKERS

 
 
Kyra Goud
Specialist Solutions Architect OpenShift AI
Kyra Goud is a Specialist Solution architect based in Switzerland with a strong background in NLP and Computer Vision. With a data scientist background and approach, she is actively engaged in bringing the MLOps pipeline closer to customers.
 
 
Kristoffer Naerland
EMEA Ecosystem Solutions Specialist  - AI
Kristoffer has a worked in open-source  communities for 8 years where four of those are spent with Red Hat. He is deeply passionate about helping customers adopt new technologies while realizing platform potential in collaboration with Red Hat's vibrant ecosystem of strategic partners and experts. 
 
 
Sander Snel
Senior Specialist Solution Architect Data Services at Red Hat
Sander Snel is a Senior Specialist Solution Architect at Red Hat EMEA, with over 20 years of experience in the field. He is based in the Netherlands and is the go-to resource for OpenShift AI in the Benelux region. Sander has a background in DevOps and scale-out Software Defined Storage, and has recently pivoted to the AI/ML space with a focus on the platform to run models in production at scale.
 

Travel / Location

 

Location: 
Centraal Museum Utrecht
Agnietenstraat 1
3512 XA Utrecht

Travel:

If you travel by train, the train station nearby is 'Utrecht Vaartsche Rijn'. If you travel from Utrecht Central Station, you can also take the bus to the venue; bus 2 stops at 'the Museumkwartier'. 

If you travel by car, parkings nearby the venue are 'Vaartsche Rijn' and 'Springweg'. 

 
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