现场活动

Red Hat at AI Summit London 2022

2022年 6月 15日 - 2022年 6月 16日 London, United KingdomTobacco Docks
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EVENT OVERVIEW

Accelerate AI powered by our Hybrid Cloud platform

Visit the Red Hat booth to speak with our open source and AI experts. 

Explore how our customers have brought AI to their businesses with the help of the Red Hat portfolio. Learn about how open source and Red Hat products and services can support your AI initiatives.

As the largest open source company in the world, we build and support open source products from open source projects. With open source, we equip our customers for success.

KEYNOTES

The Next Generation of AI/ML Application Development; Embracing the Container Revolution

Ian Lawson

Thursday, June 16, 2022  |  10:10 a.m. BST

In this rapidly changing society we need a way to quickly, efficiently and powerfully experiment with AI/ML concepts and systems. The revolution of Containers has brought a new facet into the equation; the ability to rapidly build, test and repeat AI/ML applications extremely easily while efficiently using compute resources.

This talk will present an overview and demo of the ways in which Containers can be easily used to build AI-centric applications, allowing data-scientists to spend more of their time experimenting and less time setting up complex systems.

AI/ML Powered Healthcare Using Open Source

Guillaume Moutier

Wednesday, June 15, 2022  |  2:00 p.m. BST

Training and creating an AI/ML model is only the first, and believe it or not, maybe the easiest step in the model lifecycle. It is only by considering the whole lifecycle of the model (data gathering, deployment, monitoring, retraining,...) that you will be able to put the model to valuable use in production.

In industries, such as healthcare, where speed, reproducibility and security take a prominent role, applying the right architecture patterns, using the right tools, and most of all being able to constantly evolve your solution are the keys to success.

In this session we will:

  • See how Red Hat pragmatically approaches AI/ML solutions or platforms, along with partners and Open Source projects,
  • Walk you through different projects and examples we have worked on this past year (such as automated sepsis detection, or a shared data science platform for a Covid-19 research team), allowing AI/ML approaches to be used by healthcare professionals in their daily practice, both for Clinics and Research.

Panel Session

How to Build on What We Know Now to Guarantee a Successful Framework for MLOps

Thursday, June 16, 2022 | 2:55 p.m. BST

Natale Vinto (Red Hat), Shiv Nayak (easyJet), Amy Challen (Shell), Natalie Konstantinova (BP)

Join us for an educational information share from all walks of the ecosystem to learn from POCs and integrating learnings into the next iterations of POCs, how to scale, the best MLOps platforms and solutions for the scaling journey, and how to build quality and transparency utilising MLOps.

Demos at the Red Hat Booth

Smart City: an automated edge-to-core data pipeline implementation!

Wednesday, June 15, 2022 | 11:15 a.m. BST

Guillaume Moutier

Data is the force driving digital transformation and organizations’ new services and capabilities. The broadness of Red Hat’s portfolio, from storage to platforms and middleware, helps to support the whole lifecycle of the data throughout its acquisition, transformation, storage, and consumption.

In this demo you’ll see how to create a data pipeline that uses Computer Vision to extract in real-time licence plate information at toll locations, transfer the streaming data to a core datacenter where it is enriched and stored to provide real-time overview of traffic, and analyze historical data on a large scale using a distributed query engine, with reports and dashboards.

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At Red Hat, our commitment to open source extends beyond technology into virtually everything we do. We collaborate and share ideas, create inclusive communities, and welcome diverse perspectives from all Red Hatters, no matter their role. It’s what makes us who we are.