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Ali
Tore
SVP, Product & GM ACE
RingCentral
Ali Tore is a senior Data and AI executive with 20 plus years of experience building and scaling category-defining software across Fortune 500 companies and high growth startups. He has led global product and AI teams, shaped platforms used by over 100 million enterprise users, and contributed to major outcomes including two acquisitions and one IPO. At Salesforce, he served as Senior Vice President of Advanced Analytics, overseeing AI product development, research partnerships, and data intelligence strategy for Tableau’s multi-billion dollar product lines serving 150,000 customer organizations. He previously served as President of The Public Health Company, securing 35 million dollars in Series A financing and building one of the first AI powered biosecurity platforms. Earlier, he co-founded Model N Revenue Intelligence Platform and scaled it from zero to IPO, and led product at ClearStory Data, acquired by Alteryx. At RingCentral, Ali leads the Conversational AI business as the SVP & GM, accelerating the growth across our customer segments and drive the long-term conversational intelligence vision as part of our broader AI strategy. Ali's focus on translating existing and new use cases as well as technical architectures into customer outcomes across enterprise AI will be instrumental as we elevate our AI strategy and execution.
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15 April 2026 09:30 - 10:00
From conversations to outcomes: The AI-orchestrated enterprise
Response-based AI systems are giving way to orchestration-based architectures, where agents don't just answer, they coordinate, execute, and optimize workflows across enterprise systems in real time. Agentic AI is the architectural shift driving this transition. This keynote examines how context-aware agents replace brittle pipelines, how natural language becomes a reliable workflow trigger, and how continuous learning loops produce measurable outcomes. It confronts what it actually takes to deploy AI not just as a tool, but as a durable workforce layer at scale. Attendees will leave with concrete frameworks for building and orchestrating agentic workflows: what orchestration means at the systems level, how to operationalize voice and conversation data as structured workflow input, and how real-time multimodal processing unlocks automation across distributed enterprise environments.