Dr Mo Haghighi is distinguished engineer/director for Cloud Platform and Infrastructure at Discover Financial Services. His current focus is hybrid and multi-cloud strategy, application modernisation and automating application/workload migration across public and private clouds. Previously, he held various leadership positions as a program director at IBM, where he led Developer Ecosystem and Cloud Engineering teams in 27 countries across Europe, Middle East and Africa. Prior to IBM, he was a research scientist at Intel and a Java developer at Sun Microsystems/Oracle. Mo obtained a PhD in computer science, and his primary areas of expertise are distributed and edge computing, cloud native, IoT and AI, with several publications and patents in those areas. Mo is a regular keynote/speaker at major developer conferences including DevOpsCon, Java/Code One, Codemotion, DevRelCon, O’Reilly, The Next Web, DevNexus, IEEE/ACM, ODSC, AiWorld, CloudConf and Pycon.
Seamless integration of Machine Learning Inference for Intelligent Edge Devices
As the Internet of Things (IoT) continues to expand, the need for decentralized, edge-centric processing becomes critical. We showcase a comprehensive approach leveraging Java for its versatility and Kubernetes for orchestration, allowing edge devices to seamlessly ingest, process, and respond to streams from a multitude of distributed sources. Edge Processing stands as a pivotal solution, optimizing large-scale data mining and aggregation by relocating the data processing segment of an application to more resourceful devices edge devices within the local network. The integration of GPU-accelerated ML inference on edge devices opens new avenues for harnessing the full potential of AI, fostering a future where intelligent decision-making in IoT is not only accessible via cloud. The talk will commence by outlining the current landscape of IoT networks, emphasizing the increasing demand for processing streams to implement intelligent decision-making at the edge. We will delve into Real-world examples to showcase the transformative impact of GPU-accelerated ML inference on edge devices, enabling the deployment of pre-trained models without compromising performance.
Schedule
Tuesday, September 24
| Time | Cottonwood | Rowlett A | Rowlett C | Watters B |
|---|---|---|---|---|
| 8:00 AM | Registration and Breakfast | |||
| 9:00 AM | Cruising Along with Java: Making use of the Modern FeaturesVenkat Subramaniam | Spring Boot 3 WorkshopJosh Long | AI-Driven Development: Enhancing Java with the latest AI InnovationsBrian Benz | Architectural Design Patterns Deep DiveDaniel Hinojosa |
| 5:00 PM | Workshops end & post workshop networking at local bar | |||
Wednesday, September 25
Thursday, September 26
2024 Workshops
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Sessions
JConf.dev 2024 sessions
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Timeline
- January 1
2024 Kickoff
Call for Papers, Early Bird tickets sales (first 100 only, then prices +$100), sponsor sales, scholarship program all open
- January 31
CFP Close
CFP Closes
- March 1
Speakers Announced!
Speakers announced, regular ticket sales
- July 1
Late ticket sales
Late ticket sales, order now to get a swanky badge and tshirt
- September 24
Workshop day!
JConf.dev 2024 starts with workshop day
- September 25
The big show!
JConf.dev 2024 begins!
