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Join us to explore the next AI chapter: From Data Foundations to Multi-Agent Intelligence

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Explore Multi-Agent AI’s Frontier for
Trusted Enterprise Intelligence

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        Explore the Future of Multi-Agent and Multi-Model AI

        Uncover answers to today’s most critical enterprise AI questions:

        • The role of strong data foundations in powering intelligent agents
        • How specialized agents team up to drive adaptive business decisions
        • Multi-model stacks that combine predictive, prescriptive, and generative AI for measurable ROI
        • The governance, security, and compliance risks enterprises must address
        • Moving beyond pilots into production-ready, value-driving AI systems

        This exclusive event brings together thought leaders, industry experts, and forward-thinking innovators. Don’t miss your chance to be part of this cutting-edge conversation.

        In today’s fast-shifting enterprise landscape, success depends on the right mix of data, trust, and technology. Multi-agent intelligence is emerging as the next leap forward, transforming how enterprises harness AI at scale. The challenge lies in orchestrating agents, safeguarding data, ensuring explainability, and balancing innovation with regulation—all while delivering tangible business outcomes.

        Key Discussion Points

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        Brains + Fuel

        Why agents are only as strong as the data foundations beneath them—governance, lineage, and access control.

        When Agents Team Up

        How specialized AI agents collaborate across business processes to enable adaptive decision-making.

        Multi-Model Stacks in Action

        Combining predictive, prescriptive, and generative AI to drive measurable ROI.

        Risks & Resilience

        Tackling governance and compliance when autonomous AI interacts with sensitive data.

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        Trusted Scale

        Building AI ecosystems that balance power with explainability, responsibility, and trust.

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        Agentic AI Success Stories

        Hear CriticalRiver’s Data, AI & Cloud Studio Leader share how clients take AI from pilots to enterprise impact.

        Why You Should Attend?

        Learn

        Gain a practical view of data foundations and AI architectures needed to scale multi-agent systems responsibly. Understand how enterprises are building trust layers, governance frameworks, and secure data pipelines that turn AI experimentation into enterprise-scale intelligence

        Discover

        See real client playbooks that have delivered measurable business outcomes, from 45% faster reporting cycles and 99% data accuracy to 30% higher operational efficiency across banking, manufacturing, utilities, and high-tech enterprises.

        Collaborate

        Join an exclusive circle of C-suite leaders, senior technologists, and a Forrester analyst driving AI-led transformation. Exchange insights, share challenges, and explore practical ways to scale enterprise intelligence.

        Speakers

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        Brian Hopkins (Guest Speaker)

        VP, Emerging Tech and Principal Analyst, Forrester

        Brian’s research helps clients navigate technology innovation in AI and quantum computing. His work on AI value management provides insights into how companies can move from uncertainty to achieving real, measurable value over time. Brian’s research on AI computing offers a long-term perspective on how emerging AI capabilities (e.g., generative AI, agentic models, AI agents) will impact enterprises over the next 20 years. Brian is also pioneering Forrester’s research on artificial general intelligence (AGI) and its implications for AI safety as well as advising clients on the current state and future of quantum computing.

        As VP of Emerging Technology, Brian leads Forrester’s flagship reports on emerging technologies, providing data-driven insights and frameworks to help enterprises prepare for the technology of tomorrow.

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        Aditya Deshmukh

        Data, AI & Cloud Studio Leader, CriticalRiver Inc.

        Aditya Deshmukh leads CriticalRiver’s Data, AI & Cloud Studio, helping enterprises modernize ecosystems, define data strategies, and deliver outcome-driven AI solutions. With 27+ years in data and cloud, he translates complex needs into measurable results. Clients value his ability to align every engagement with their goals, ensuring transformation delivers lasting business impact.

        Agenda
        Analyst Roundtable & Networking Dinner

        Topic: The Next AI Chapter: From Data Foundations to Multi-Agent Intelligence

        1

        4:00 – 4:30 PM

        Registration & Networking

        Welcome, introductions, light refreshments

        2

        4:30 – 5:00 PM

        Analyst Keynote

        Forrester insights on multi-agent and multi-model AI

        3

        5:00 – 5:30 PM

        Agentic AI
        success stories & case studies

        4

        5:30 – 6:00 PM

        Roundtable Discussion & Q&A

        Interactive conversation with audience

        5

        6:00 PM onwards

        Networking Dinner

        Continue discussions over dinner