AI and Real-time data: Powering India’s digital next – Bangalore Edition

When we consider the importance of real-time data in today’s digital landscape, we often think of its use in edge workloads, commerce, fraud detection, and customer 360 initiatives. Yet, many operational research challenges - ranging from business instrumentation across massive data footprints to infrastructure capacity planning and cost-optimised compute workloads at scale - can benefit just as much from a seamlessly scalable storage layer. This presentation will explore several of these areas, emphasising their practical value and broader implications.

Traditionally, data engineering has been about one thing: bringing all the data together and making it accessible. The future is bigger—turning data into intelligence, consuming it efficiently, and driving real business outcomes.
At Airtel, we’ve been building exactly for that future. Our Converged Data Engine (CDE) doesn’t just unify data, but enables teams across the organisation build and act on real time intelligence. CLM (Customer Lifecycle Management) – smarter engagement across journeys Customer 360 - 360 view of customer profile. Unified Customer Master – one source of truth for customer intelligence The result? Agility, smarter decisions, and tangible business impact. Aerospike forms the base caching and serving layer in CDE at Airtel scale. We are not just democratizing data, we are on the way to democratize intelligence across Airtel.

This session details CRED's architectural journey in scaling real-time data platforms with Aerospike. We cover the migration of our Central Attribute Store from DynamoDB, achieving a 55% cost reduction and an 84% latency improvement. The presentation will also detail our innovative stream-join solution and how we leverage Aerospike's bitmaps to power a real-time audience estimator, drastically reducing segment materialization time for rapid campaign planning and reach queries.

Flipkart leverages Aerospike as datastore and caching solution, powering essential, low-latency use-cases across our ecosystem, including Search, Recommendations, Inventory, Pricing & Offers. Our journey has been of massive scale, managing over 350 clusters and nearly 90 million QPS during sales on a shared, bare-metal Kubernetes platform effectively using features of Aerospike Kubernetes Operator. This presentation outlines our strategy, the challenges we've overcome, and the optimisations we've created to operate Aerospike reliably at this scale

HDFC Bank has embarked on a bold vision to rewrite its mobile banking platform for scale, resilience, and customer experience. This session will share the journey of evaluating and selecting the right operational database architecture, weighing pros and cons of different approaches, and why Aerospike emerged as the foundation of choice.
Attendees will gain insight into HDFC’s deployment of Aerospike at scale, how automation has streamlined operations, and the real-world performance outcomes achieved. Learn how India’s leading bank is re-architecting for the next era of mobile banking.

In this talk, we will cover how Aerospike fits in Bigbasket's data architecture, and is central to data serving at a scale of millions of TPS. Critical aspects of the customer journey including Gelocation aware catalog discovery, pricing, deals, assets are powered via APIs with Aerospike as the data-provider. We will also touch upon how we manage Aerospike clusters to ensure zero downtime for the business.

At InMobi, user profile stores have traditionally been optimised for read-heavy workloads, a design that continues to anchor our architecture today. But the requirements of digital scale are evolving fast.
We are now extending this foundation to handle both reads and writes at millions of requests per second, while increasingly serving as an online feature store to support advanced AI/ML applications.
This session will explore how InMobi achieves this balance - preserving a read-optimized design while evolving for next-generation demands - operating under stringent latency requirements and ensuring a cost-efficient infrastructure footprint. Attendees will gain insights into the architectural choices, performance trade-offs, and lessons learned from building systems that seamlessly serve billions of users.

At mPokket, we believe the future of fintech is instant, intelligent, and infinitely scalable. In this session, we’ll share how Aerospike powers our transformation - from enabling real-time segmentation and building a 360-degree customer view to driving hyper-personalization and laying the foundation for next-gen fraud prevention. Join us to discover how we’re reimagining customer experiences and operational efficiency, paving the way for a truly real-time, data-driven future in financial technology.

India’s digital transformation brings both opportunities and challenges. In this panel, we’ll be joined by our partners, who will share how they are applying real-time data and AI today - and what steps business and technology leaders should take now to stay ahead in the era of digital acceleration.