Building AI/ML applications is only half the battle: the real work is in operationalizing the learning and deployment of algorithms. To help you comprehend this new mode of CI/CD, we've prepared a Webinar on July 15, 2021 at 1 PM ET to cover this expansive topic, and to highlight the ways GitOps and OpenShift Pipelines can help.
Artificial intelligence (AI)-powered applications are growing to deliver more mainstream experiences to users. Whether predicting rainfall and its effects on specific terrain or building a video game, AI models use machine learning (ML) to humanize the user experience in virtual or real world applications.
Operationalizing these applications with integrated ML capabilities and keeping them up to date—known as MLOps—ensures prediction accuracy. In this session, we will show you how to accelerate MLOps using an example of an AI game of battleship we built recently that was played by 8000+ users live at Red HatⓇ Summit.
MLOps requires collaboration amongst data scientists, developers, ML engineers, IT operations, and various DevOps technologies. This can require significant effort and coordination.
We’ll briefly discuss how data scientists build, test, and train ML models on Kubernetes hybrid cloud platforms such as Red Hat OpenShift. Next, we will explore how the integrated DevOps CI/CD capabilities in Red Hat OpenShiftⓇ (i.e., GitOps and Pipelines), allow us to automate and accelerate the integration of ML models into the application development process. Ultimately, these capabilities allow consistent, scaled application deployments, which also helps accelerate the frequent redeployment of updated ML models into production.
In this webinar, we’ll talk about:
- How Data Scientists build, test, and train ML models on Kubernetes hybrid cloud platforms like Red Hat OpenShift
- How Red Hat OpenShift incorporates GitOps and pipelines to automate and accelerate ML model integration during application development
- How the integrated DevOps CI/CD capabilities in Red Hat OpenShift facilitate on-demand application deployment and updates
Live event date: Thursday, July 15, 2021 | 1:00 pm ET
On-demand event: Available for one year afterward.
Register Here
关于作者
Red Hatter since 2018, technology historian and founder of The Museum of Art and Digital Entertainment. Two decades of journalism mixed with technology expertise, storytelling and oodles of computing experience from inception to ewaste recycling. I have taught or had my work used in classes at USF, SFSU, AAU, UC Law Hastings and Harvard Law.
I have worked with the EFF, Stanford, MIT, and Archive.org to brief the US Copyright Office and change US copyright law. We won multiple exemptions to the DMCA, accepted and implemented by the Librarian of Congress. My writings have appeared in Wired, Bloomberg, Make Magazine, SD Times, The Austin American Statesman, The Atlanta Journal Constitution and many other outlets.
I have been written about by the Wall Street Journal, The Washington Post, Wired and The Atlantic. I have been called "The Gertrude Stein of Video Games," an honor I accept, as I live less than a mile from her childhood home in Oakland, CA. I was project lead on the first successful institutional preservation and rebooting of the first massively multiplayer game, Habitat, for the C64, from 1986: https://neohabitat.org . I've consulted and collaborated with the NY MOMA, the Oakland Museum of California, Cisco, Semtech, Twilio, Game Developers Conference, NGNX, the Anti-Defamation League, the Library of Congress and the Oakland Public Library System on projects, contracts, and exhibitions.
