Executive Dinner: Milliseconds Matter for Enterprise AI

Join Tim Faulkes, Chief Developer Architect at Aerospike, and fellow technology leaders for an exclusive executive dinner in Singapore exploring how the right data infrastructure enables AI at enterprise scale - from real-time fraud detection to personalisation and Customer 360.

July 22, 2026

Singapore

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What to expect

Gain practical insights into the data infrastructure required to support enterprise AI applications with predictable, real-time performance.
Learn from real-world examples of how organisations such as PayPal, AMD, and Flipkart power use cases including fraud detection, personalisation, recommendation engines, feature stores, and Customer 360.
Hear from Tim Faulkes, Chief Developer Architect at Aerospike, as he shares lessons from helping enterprises solve some of the world's most demanding data challenges.
Engage in peer discussion with senior technology, AI, data, and digital leaders on the opportunities and challenges of scaling AI initiatives.
Build valuable connections over an executive dinner in an intimate setting designed for meaningful conversations and knowledge sharing.

Speaker

Tim Faulkes

Chief Developer Architect

“Prior to Aerospike, we were using another in-memory database and running into challenges in terms of the cost of scaling. We needed to seamlessly leverage both the memory and disk in such a way that it can guarantee a consistent performance. We moved to Aerospike for its hybrid memory architecture to leverage next generation memory and SSDs to their fullest advantage. ”

Sai Devabhaktuni

PayPalSr. Director of Engineering

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“It gave us quick access to large datasets with one hop to the data from the client and the predictability we needed for our fraud platform. When you only have about 100 milliseconds to detect fraud, even 40 milliseconds of database calls consumes 40% of your detection budget.”

Dheeraj Mudgil

BarclaysVice President, Enterprise Fraud Architect

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“We selected Aerospike because it can handle large volumes of operational data with predictable performance. That reliability allows us to monitor compute jobs across the grid while maintaining the efficiency required for high-demand modern workloads.”

Rajdeep Sengupta

AMDApplication & Systems Engineering

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“Since the time we went live with the Kubernetes infra, we have seen 100% availability with the operator. There hasn't been any incident where we had a production issue because of the operator. It has been working very well for us.”

Sharath B.P.

FlipkartSoftware Architect

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