Register for Foojay Webinar: “Java’s Place in the AI Revolution”
- April 09, 2025
- 671 Unique Views
- < 1 min read
This first online Foojay Webinar will highlight Java's place in the AI Revolution, focusing on Exploring AI/ML Using Pure Java Tools.
AI and Machine Learning (ML) are becoming essential in modern software development. For Java developers, there's no need to switch technology stacks. It's now possible to build, train, and deploy ML models using tools available directly within the Java ecosystem.
This webinar focuses on practical predictive AI/ML approaches in pure Java. We’ll walk through key Java libraries, show how to structure and train models, and discuss how Java’s core strengths, ie, JVM performance, type safety, and enterprise integration, can be used to build scalable AI solutions.
If you're a Java developer or architect interested in learning more about AI/ML with structured data, this session will show you how to do it efficiently using native Java tools.
Practical
- Online streaming via YouTube
- Date: Monday, April 28th 2025
- Time:
- 18:00 CET
- 9AM Pacific Time
Please register here: https://forms.gle/p9wxXhcMDfBwCXsUA
Guests
Frank Greco, Senior AI/ML Consultant, Technology Strategist, Java Champion, Developer Ecosystem (Crossroads)
Zoran Sevarac, CEO of @Deep Netts, Full Professor at University of Belgrade, Java Champion, AI Consultant | Deep Learning Development Platform
Moderator
Pratik Patel, VP Developer Advocacy at Azul, Java Champion
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Frank Delporte (@frankdelporte) is a Java Champion, Java Developer, Technical Writer at Azul, Blogger, Author of "Getting started with Java on Raspberry Pi", and Pi4J Contributor. Frank blogs about his experiments with Java, sometimes combined with electronic components, on the Raspberry Pi.
VP Developer Advocacy at Azul
Zoran is an artificial intelligence software developer, entrepreneur, Java Champion, and researcher. He's the creator of the popular and award winning educational Java open source neural network software Neuroph and the deep learning platform Deep Netts.
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