Architecture for the Age of AI

Artificial intelligence, especially Machine Learning, Deep Learning, and Large Language Models, is increasingly becoming one of the critical factors to the success of our modern applications.
This track focuses on sharing practitioner-driven insights on what works (and what doesn't) on AI-focused software architectures, enabling you to build and sustain the AI-based systems of the future.
We will explore the latest trends and techniques for building modern software architecture for AI systems and applications.

From this track

Session

Mind Your Language Models: An Approach to Architecting Intelligent Systems

Details coming soon.

Speaker image - Nischal HP
Nischal HP

Vice President of Data Science @Scoutbee, Decade of Experience Building Enterprise AI

Session

Lessons Learned From Building LinkedIn’s AI Data Platform

Taking AI from lab to business is notoriously difficult. It is not just about picking which model flavor of the day to use. More important is making every step of the process reliable and productive.

Speaker image - Felix GV
Felix GV

Principal Staff Engineer @LinkedIn

Date

Tuesday Apr 9 / 10:35AM BST

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on April 8-10, 2024.

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Track Host

Fabiane Nardon

Data Scientist, Java Champion & CTO @tail_oficial

Fabiane is a computer scientist with many years of experience in large information systems with huge amounts of data. She was chief architect of the Sao Paulo Healthcare Information System, considered the largest JavaEE application in the world and winner of the 2005 Duke's Choice Award. She leaded several communities, including the JavaTools Community at java.net, where 800+ open source projects were born. She is a frequent speaker at conferences in Brazil, her home country, and abroad, including JavaOne, OSCON, Jfokus, DockerCon, JustJava, QCon and more. She is also author of several technical articles and was in the program committee of conferences as JavaOne, OSCON, TDC and QCon. She was chosen a Java Champion by Sun Microsystems as a recognition of her contribution to the Java ecosystem. Currently, she works as CTO at Tail where she is helping to shape new disruptive Data Science based services.

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