WHAT TO EXPECT

The Data & Models track is designed for model and application layer discussions across industries.

Explore how infrastructure choices, from compute to tooling, drive capabilities higher up the stack.

For Heads of AI, ML engineers, Heads of Data Science & Analytics, Heads of IT Infrastructure & Security, and DevOps Leads... 

DOWNLOAD A SUMMARY (opens in a new tab)

Data & Models Speakers

Loading
VIEW ALL SPEAKERS (opens in a new tab)

Who Attends?

Loading
Abbott
AirBnB
AWS
Blue Origin
BNP Paribas
Citi
EA
GE Healthcare
General Motors
Google

How Will You Benefit?

MAXIMIZE PERFORMANCE & ROI

Maximize performance and ROI. Learn how to optimize your AI stack for performance, efficiency, and cost, turning infrastructure investments into measurable deployment outcomes and faster, more powerful inferencing.

EXPAND YOUR TECHNICAL PERSPECTIVE

Expand your technical perspective. Connect with a unique cross-section of the AI industry. Spend a few days locking into speed, scalability, and systems performance rather than just model outputs.

ACCELERATE YOUR DUE DILIGENCE

Accelerate your due diligence. Meet the full AI infrastructure value chain in one place. From compute, networking and memory to storage, cloud platforms, and data center innovation. Complete months of technology evaluation in just a few days.

FAQs

This track focuses on how AI systems actually perform in production. It brings together enterprise leaders, model builders, and infrastructure teams to address the shift from experimentation to real-world deployment, cost control, and governance. 

Sessions focus on: 

  • Scaling multi-agent and enterprise AI systems beyond pilots  

  • Securing AI across the model, pipeline, and runtime  

  • Managing data privacy, governance, and compliance at scale   

  • Turning AI into measurable business impact, not just experimentation  

  • Making cost vs performance trade-offs across infrastructure and models 

Yes. The track prioritises enterprise case studies and applied use cases, particularly from industries like finance, healthcare, retail, and large-scale consumer platforms, where AI is already live and revenue-impacting.

The track is structured across the full lifecycle: 

  • Agentic systems and model architecture  

  • Privacy, security, and governance  

  • Infrastructure optimisation and scaling  

This reflects the reality that performance gains now come from the interaction between data, models, and infrastructure, not any one layer alone. 

REGISTER YOUR INTEREST (opens in a new tab)
VIEW THE OTHER TRACKS (opens in a new tab)