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Summary Bullets:

• AWS Singapore Innovation Hub shows the company’s shift from technology-led to business-driven, turning use cases into commercial applications.

• The F1 partnership showcases AI and cloud innovation, but also AWS’ capabilities with real-time data intensive analytics and insights.

AWS held an analyst day in Singapore, showcasing its Innovation Hub and the partnership with Formula 1 (F1).

AWS Innovation Hub

At the innovation hub, AWS demonstrated a diverse range of AI and cloud enabled use cases – from document analytics and loan processing for BFSI, to preventive maintenance and AI-driven surveillance in manufacturing. The facility also houses many other industry-specific use cases with additional use cases in the pipeline. This initiative reflects AWS’ ongoing shift from a technology-focused to a business-led engagement model. While technologies remain at the core, the company is deepening collaboration with enterprise leaders beyond IT, engaging directly with business executives and functional owners. Leadership, culture, and people are key enablers of successful digital transformation. The Innovation Hub serves as a platform for enterprises to explore and co-develop use cases tailored to their business needs.

Innovation labs are not new. Many other providers like global system integrators, telcos, and tech vendors, have been opening new facilities over the last few years. It is a proven way to drive adoption of emerging technologies through solution co-development, commercialization and ecosystem expansion. Besides, innovation labs can also strengthen providers’ brand share and enable them to gain deeper market knowledge such as understanding customers’ pain points. The use cases demonstrated at the AWS facility were innovative and promising, but most are somewhat comparable to use cases found in other providers’ facilities. But what differentiates AWS is its strong execution. Over 70% of the use cases have been brought into production. This is consistent with its strategy to expand focus on outcome-led engagements, and a strong proof point that the efforts are not just conceptual but outcome-driven.

AWS x F1

In the latter part of the event, there were sessions with executives at the track sites including a visit to the F1 Event Technical Center (ETC), sharing how the AWS and F1 collaboration is driving innovation and enabling various use cases for F1, teams, drivers, fans, and viewers. Since the partnership began in 2018, AWS has evolved from providing core cloud infrastructure to powering advanced AI solutions. Early deployments include leveraging over 1,000 AWS compute cores for computational fluid dynamics (CFD) projects to design race cars. Today, the partnership extends to AI applications including real-time insights, car performance, race strategy, issue resolutions/root cause analysis, fan engagement (e.g., hyper-personalization), game strategy, and safety and reliability.

Sports, as one of the most data-intensive industries in the world, offers an ideal testbed for real-time analytics. For example, an F1 car alone carries around 300 sensors, generating over one million telemetry data points per second with a total of 600TB across entire race. Similarly, a football match generates about 3.6 million data points. Furthermore, data from sports events are often highly fragmented (structured and unstructured) and need to be processed in real-time. Apart from F1, AWS is also an official technology partner in various major global sports events such as the NFL, PGA Tour, Bundesliga, NHL, and many other sports teams. While sports in APAC are not as big as in other regions such as the US and Europe, AWS collaborations with F1 and other sports organizations show its leadership in this industry. More importantly, it can also be seen as a powerful platform to demonstrate its broad capabilities and innovation in complex and data-rich environments.