Mr. Suri Nuthalapati

Beyond Big Data: Architecting Scalable AI-Driven Data Platforms for the Future

Abstract:

In the era of data-driven transformation, organizations are increasingly looking to harness the power of AI and advanced analytics to drive innovation and efficiency. However, the scalability, governance, and integration of AI with Big Data remain key challenges. This keynote will explore how Modern Data Architectures (Data Lakehouse, Data Fabirc, Data Mesh), hybrid and multi-cloud strategies, and generative AI innovations are reshaping the landscape of data platforms. The session will provide insights into: Scalable Data Platforms: Best practices for designing high-performance data architectures that can handle real-time analytics and large-scale AI workloads. Multi-Cloud & Hybrid Strategies: How businesses can seamlessly integrate data & AI across cloud environments while ensuring governance and compliance. Generative AI in Data Engineering: Real-world applications of AI-driven automation, AI Agents, and intelligent decision-making within enterprise data ecosystems. SaaS and AI-Enabled Data Products: Key considerations in building AI-powered analytics SaaS platforms that democratize access to insights. Attendees will gain actionable strategies to future-proof their data infrastructure, optimize AI adoption, and drive business impact in a rapidly evolving digital landscape.