Sheetal Tatiya discusses intelligent enterprise data at WAVE Hackathon 2026 Book Showcase

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Book Showcase highlights enterprise AI and data technologies at WAVE Hackathon 2026 

WAVE Hackathon 2026 served as a platform for technical projects, collaboration, and knowledge sharing while also recognizing the importance of industry expertise and thought leadership. The Book Showcase provided authors and technology experts with an opportunity to present publications exploring artificial intelligence, enterprise architecture, data management, and digital innovation. Conducted virtually on June 26, 2026, the global event united developers, researchers, entrepreneurs, students, and business leaders to exchange ideas, and discuss emerging technologies.

As part of this initiative, Sheetal Tatiya, Data Engineering Management & Governance Associate Manager at Accenture, presented his book, The Autonomous Data Future: Architecting Intelligent Data Platforms, Real-Time Analytics, and Agentic AI Systems for Next-Generation Enterprises. His session focused on how organizations can strengthen their data ecosystems to support intelligent automation and prepare for the next phase of enterprise AI.

Building intelligent data ecosystems for the AI era

Drawing on more than fourteen years of experience in data engineering and AI-driven enterprise solutions, Sheetal shared the thinking behind his book and discussed the growing need for organizations to rethink the way they design and manage their data infrastructure. His presentation focused on the role of well-architected, governed, and scalable data platforms in supporting enterprise AI initiatives.

A key focus of the session was the evolution of enterprise data systems from traditional reporting environments to intelligent platforms that continuously generate operational insights. Sheetal explained how combining real-time analytics with modern data architectures supports organizational decision-making while creating the foundation for autonomous business operations.

The presentation also explored the emerging role of Agentic AI, describing how intelligent systems can move beyond simple automation to support context-aware decision-making, streamline validation processes, and orchestrate enterprise workflows. Rather than functioning as isolated technologies, these capabilities become significantly more effective when supported by trusted data, robust governance, and transparent operational frameworks.

Reflecting these ideas, The Autonomous Data Future presents a structured roadmap for organizations seeking to modernize their enterprise data strategies. The book covers essential topics including the modern data stack, data intelligence at scale, autonomous insight generation, intelligent data integration, sustainable AI infrastructure, and the future of intelligent data systems. Together, these subjects examine approaches to building resilient and scalable enterprise data platforms for AI-driven environments. Designed for data engineers, enterprise architects, AI practitioners, analytics professionals, and technology leaders, the book examines both technical and strategic aspects of preparing enterprise data environments for the next generation of artificial intelligence.

Advancing the conversation around enterprise AI

The presentation concluded with an interactive discussion centered on the concepts explored in the book, including the evolution of autonomous data platforms, the integration of intelligent data architectures, the growing role of real-time analytics, and the emergence of Agentic AI as a foundation for next-generation enterprises. Participants exchanged perspectives on how organizations can build data ecosystems that are adaptive, scalable, and capable of supporting intelligent decision-making. The discussion reflected WAVE Hackathon’s focus on encouraging dialogue around the practical applications of emerging technologies.

The inclusion of the Book Showcase highlighted the event’s emphasis on knowledge sharing alongside technical innovation. By providing authors with a platform to present original ideas and practical frameworks, the event emphasized the role that publications play in discussions around emerging technologies.

Through his presentation, Sheetal Tatiya discussed the role of intelligent data platforms, effective governance, and scalable architecture in supporting enterprise artificial intelligence initiatives. The Autonomous Data Future: Architecting Intelligent Data Platforms, Real-Time Analytics, and Agentic AI Systems for Next-Generation Enterprises explores approaches to developing enterprise data ecosystems that support artificial intelligence initiatives and long-term digital transformation.