MLOps Deep-Dive Sessions

Join us for two knowledge-packed MLOps days focusing on real-world tools, solutions and use-cases!

Celebrate the new year by exploring the dynamic world of MLOps at our two upcoming events in Gothenburg and Stockholm. These sessions are golden opportunities to expand your knowledge, network with industry peers, and discover the latest in MLOps technology.

Our deep dives into the realm of MLOps will spotlight a diverse array of MLOps solutions and tools, offering you a thorough and practical insight into optimizing AI solution deployments through innovative strategies and cutting-edge technologies.

Join us for two knowledge-packed days, featuring leading partners in the MLOps industry. First in Gothenburg and then in Stockholm, each day promises an engaging and informative experience. While attending in person promises the most interactive discussions, remote participation is warmly welcomed. Attending one or both days is up to you depending on your interests.

Our deep-dive sessions focus on real-world tools, solutions, and use cases. These sessions are not just informative but are a platform for sparking new ideas and strategies to enhance your MLOps operations. We have asked our presenting Partners to base their presentations on real use cases, so you can see how their offerings are actually used, function, and interact with surrounding systems.

In short, this is an opportunity to broaden your perspectives, offering fresh ideas on initiating or refining your MLOps strategies. We hope that you will gain valuable insights and inspiration from presentations, discussions, and the diverse experiences of colleagues from various organizations

These events are open to everyone and will be held in English. As an AI Sweden Partner, you will have priority access to the on-site locations on a first-come first-serve basis.

We look forward to inviting the following partners to the podium!

24/1 Gothenburg

09.00 Introduction & Welcome by AI Sweden

09.30 NetApp - Value for your data
        In this session, we will go through NetApp’s ML/AI solutions and integrations as well as
        presenting a demo around our AI Control plane and Data Scientist/Ops toolkit.

10.30 Stormgrid - AI infrastructure for all AI initiatives & Run:ai demo
        Speakers: Joel Bergman, CEO & Jacob Granath, COO

11.30 Break for lunch

12.30 Aixia - AiQu, its Technology and Edge applications
        Optimize your AI power with orchestration. AiQu is a versatile tool that will help to maximize your organization's AI initiatives.
        Speakers: Jonas Vallin, Business Development & Simon Janeck – Head of R&D

13.30 Atea & Red Hat - Red Hat Open Shift AI & PoC with The Swedish Tax Agency using Red Hat Open Data Science
        Speakers: Martin Moberg Atea, Consultant Manager & Petrus Åström Atea, Solution Architect & Johnny Westerlund Red Hat, Solution Architect         & Andreas Bergqvist, Red Hat, EMEA SSP Openshift AI

14.30 Dell Technologies - Differentiating with MLOps
        Dell’s CTO office has built a functional testbed for our EMEA customers, where MLOPs is the glue that pulls it all together. Initial presentation by Marc O’Regan from our CTO Office. Demo of AI mini supercomputer in Limerick by our Senior Architect Paul Wynne
        Speakers: Marc O'Regan, CTO EMEA & Paul Wynne, Senior Architect   

15.30 Sensative

16.30 Mingle & summary




31/1 Stockholm (Folkungagatan 44, 118 26 Stockholm)

09.00 Introduction & Welcome by AI Sweden 
09.30 Hopsworks
10.30 Google - Mastering MLOps with Vertex AI in Google Cloud, A practical demo
        Join us for a demonstration of Google Cloud’s Vertex AI and how to solve for MLOps. In this demo, we'll walk you through a machine learning workflow, from experimentation to model training, deployment, building pipelines and automation capabilities. Discover practical strategies to streamline your ML pipelines and automate processes using Vertex AI's powerful tooling. 
        Speaker: Henrik Warfvinge, Data and AI Specialist, Google Cloud Sweden  

11.30 Break for lunch  

12.30 HPE

    How can we develop a scalable, enterprise-grade MLOps platform that operates seamlessly in a hybrid environment, addressing challenges such as data and code versioning, lineage tracking, optimized hardware usage, and comprehensive automation?
We will showcase the current challenges customers encounter and demonstrate live how these issues can be effectively resolved.
    Speakers: Johan Fondin (Solution Architect) and Pomas Tanguy (AI Solutions Engineer)

13.30 Scaleout
        Speaker: Fredrik Wrede, Head of Engineering & Senior ML Engineer

14.30 Syndata
        Video: SynData has the solution to help you regain your data freedom

15.00 Intel 

16.30 Mingle & Summary