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Event

Career Paths in AI – Learn from Industry Experts πŸš€

2025-03-04 – 2025-03-04 Meetup Visit website β†—

Activities tracked

2

πŸ“ Location: SAP Office (3rd Floor), Singapore πŸ“… Date: Tuesday, March 4, 2025 ⏰ Time: 3:00 PM - 7:30 PM Singapore Time (Main event: 3:00 - 6:00 PM, Doors close at 7:30 PM)

Why Attend?

Are you looking to grow your career in AI or learn from industry experts? This exclusive AI meetup brings together top leaders from SAP and Google Cloud to discuss: βœ… Navigating AI career trajectories βœ… Key industry trends and innovations βœ… The environmental impact of AI & sustainable AI practices βœ… Networking with AI professionals and hiring managers

Agenda

πŸ”Ή 3:00 - 3:30 PM \| Registration & Networking

Meet AI professionals, researchers, and enthusiasts over informal networking.

πŸŽ™ 3:30 - 4:30 PM \| Panel Discussion: Navigating AI Career Trajectories

A powerful discussion with AI experts on how to thrive in the AI industry, upskill, and build impactful careers.

Meet the Panelists:

πŸ”Ή Steven Fu – Development Manager, Head of AI Accelerator, SAP Leads AI hiring and mentoring early-career AI talent at SAP. πŸ”Ή Suresh Kumar Raju – Head of Engineering, APAC, SAP Labs Singapore Oversees AI infrastructure and Large Language Models (LLMs) across cloud providers. πŸ”Ή Thu Ya Kyaw – Senior Developer Advocate, Google Cloud Focuses on AI for real-world applications and enhancing developer experience. πŸ”Ή Dr. Daniel Dahlmeier – Chief Data Scientist, SAP AI Drives AI research, NLP, and AI model development across SAP. ⏳ Format: 45 min discussion + 15 min Q&A

πŸ“’ 4:30 - 4:55 PM \| Technical Talk: Carbon-Aware LLM Inference

πŸ’‘ Abstract: This session explores the energy consumption and emissions impact of deploying and running Large Language Models (LLMs). We will examine key sustainability metrics, benchmarks, and strategies to reduce AI’s carbon footprint. 🎀 Speaker: Sharma Vikash – Product Owner, SAP AI Core Sharma Vikash leads AI serving and inference engines at SAP and is a Pluralsight instructor with expertise in Scala and AI development. ⏳ Format: 25 min talk + 15 min Q&A

RSVP Now! Don’t miss this chance to gain industry insights and network with AI leaders!

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Technical Talk: Carbon-Aware LLM Inference

2025-03-04
talk
Sharma Vikash (SAP AI Core)

This session explores the energy consumption and emissions impact of deploying and running Large Language Models (LLMs). We will examine key sustainability metrics, benchmarks, and strategies to reduce AI’s carbon footprint.