Panel Discussion - Future of AI Infrastructure
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About this event
AI is no longer just about models—it’s about the infrastructure and Talent that make them viable at scale.
Join our next meetup event ( Panel Discussion, Fireside chat)
Agenda
- 5:00 – 5:30 PM · Registration, networking & Introduction
- 5:30 – 6:30 PM · Panel discussion - Future of AI Infra
- 6:45 – 7:45 PM · Fireside Chat - AI Ready your Tech Career
Panel Discussion - Future of AI Infrastructure
- Enterprise & Strategy: Rohit Jain (CIO, Harvard Business School) on institutional AI adoption and infrastructure decision-making
- AI Data Infrastructure: Lauren Vaccarello (CMO, Weka) on high-performance storage for AI workloads
- AI Security: Nat Natraj (CEO, AccuKnox) on securing AI pipelines and cloud-native environments
- AI-Native Applications: Neha Deodhar (CEO, Gypsum AI) on AI agents and real-world AI deployment
Together, the discussion will connect land, power, data centers, GPUs, orchestration, security, models, and enterprise applications — providing a holistic view of what it takes to build and operate AI infrastructure at scale.
The discussion will follow a layered approach, covering:
- How AI-ready data centers are designed and powered
- GPU servers and hardware choices shaping AI workloads
- Orchestration platforms like Kubernetes and Slurm
- Model decisions for training vs inference
- How enterprises turn AI infrastructure into business outcomes
Fireside Chat - AI Ready - The future of Tech career
Fireside chat will be lead by Prominent leaders in AI/Tech Talent development space
Partha Seetala — Chief AI Officer & Cloud BU Head of Rakuten Symphony — a successful entrepreneur and clear, insightful educator. His popular YouTube channel (https://www.youtube.com/@parthaseetala) breaks down complex topics in LLMs and machine learning into practical, accessible lessons.
Jenny Kay Pollock — a strong community leader empowering women in technology through WOMEN x AI (WxAI), which she co-founded. She continues to drive meaningful conversations around leadership, inclusion, and growth in the AI space.
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