Building Highly Scalable AI Platforms

​Building a successful AI platform requires the right architecture, data strategy, infrastructure, and operational approach.

👨‍💻 Speaker
Eswar Sangati is a Regional Data Services & Partner Ecosystem Leader at Hewlett Packard Enterprise (HPE), Singapore, where he leads business development and strategic partnerships to help organizations unlock the value of their data and accelerate business outcomes. With extensive experience in enterprise technology, cloud, data, and AI platforms, he works closely with customers across industries to design scalable, future-ready solutions that bridge business strategy with technology execution.

​Join us for an insightful session to learn practical framework for designing AI platforms that are scalable, resilient, and built for real-world business outcomes.

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👥 What You’ll Learn:

• ​What an AI Platform is and why it matters

• ​The challenges of moving from AI pilots to production

• ​The essential building blocks of a scalable AI platform

• ​Designing an effective AI data pipeline

• ​The ideal AI architecture and platform approach

• ​Real-world AI use cases across enterprise environments

• ​Business benefits customers can expect

• ​Key takeaways for technology leaders, solution architects, and AI practitioners

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👥 Who Should Attend

• ​Software engineers and solution architects

• ​AI/ML engineers and data professionals

• ​CTOs, technology leaders, and engineering managers

• ​Startup founders building AI products

• ​Anyone interested in architecting scalable, enterprise-ready AI solutions

​RSVP NOW to secure your spot for free!
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Organised by Beyond Beta.
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