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Discover how agentic AI is reshaping the analytics lifecycle. Learn how organizations can move beyond traditional analytics to build systems that surface insights automatically and accelerate time to value.

Agentic AI and its influence on analytics and autonomous decision-making

Discover how agentic AI is reshaping the analytics lifecycle. Learn how organizations can move beyond traditional analytics to build systems that surface insights automatically and accelerate time to value.

About this webinar

Analytics is evolving from passive reporting to proactive, intelligent systems. Agentic AI is at the center of this shift, bringing context-aware reasoning, continuous learning, and the ability to act on data in real time.

Join this webinar with Michael Ni, VP and Principal Analyst at Constellation Research, and Sailas Sundaram, Head of Product Management at Zoho Analytics, as they explore how agentic AI is reshaping the analytics lifecycle, from data preparation and exploration to insight generation and operationalization.

Learn how organizations can move beyond traditional analytics to build agentic analytics systems that surface insights automatically, adapt to changing data, and accelerate time to value.

Key takeaways

  • How agentic AI enhances each stage of the analytics lifecycle
  • Moving from legacy analytics to automated, insight-driven workflows
  • Best practices to accelerate adoption and drive business impact
  • Live demos from Sailas Sundaram showcasing the agentic and generative AI capabilities in Zoho Analytics
Michael Ni

About Michael Ni

‌ Michael Ni is Vice President and Principal Analyst at Constellation Research, covering the evolving Data-to-Decisions landscape—where CDOs , CIOs , and CPOs look to leverage unified data + AI foundations, integration and orchestration, analytics modernization, to workflow/process automation to re-engineer their business models and engage their customers. MIke's research examines how enterprises operationalize AI, automate decision-making, and integrate data management and analytics into core business processes. He focuses on the challenges of scaling AI-driven decision systems, aligning data strategy with business goals, and the growing role of data and decisioning “products” in enterprise ecosystems. With 25+ years as a CPO, CGO and CMO across enterprise software, AI platforms, and analytics-driven technologies, Ni brings a practitioner’s perspective, balancing technical depth with execution strategies, product lifecycle management, and alignment to business models. His work helps enterprises and vendors develop AI-driven decisioning capabilities, structure automation frameworks, and align data strategy with business metrics.

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