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Day 2 Agenda

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  • Morning Keynotes

  • 8:20

    REGISTRATION & LIGHT BREAKFAST

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  • 8:50

    Chair’s opening remarks

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  • 9:00
    Panel Discussion-3

    Opening Panel Discussion: Accelerating Digital Transformation Through Effective Data Management

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    •    What are the biggest data management challenges that slow down digital transformation, and how can they be overcome?
    •    How can organizations balance data quality, governance, and scalability to accelerate digital initiatives?
    •    What role do AI and automation play in enhancing data management for a seamless digital transformation?
    •    How can businesses effectively measure the impact of their data management strategies on digital growth?

    Panelists:
    Venkat Achanta, Chief Technology Data and Analytics Officer, TransUnion
    Rafique Awan, VP Director, Information & Solution Architecture, MFS INVESTMENT MANAGEMENT
    Randall Gordon, Head of Data Governance, CROSS RIVER

  • 9:40

    The Future-Facing CDAO: Leading with Vision, Velocity, and Data-Driven Impact

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    •    How future-focused CDAOs are aligning data strategy with long-term business goals, customer-centric innovation, and emerging technologies like GenAI
    •    Building agile data organizations that can move fast—balancing governance with experimentation, and enabling real-time, high-impact decisions
    •    Translating data investments into tangible business outcomes by embedding analytics into core operations, managing risk, and demonstrating value to the C-suite

  • 10:10
    Venkat Achanta - TransUnion-3

    Competing in AI with a Game-Changing Platform Mindset

    Venkat Achanta - Chief Technology Data and Analytics Officer - TRANSUNION

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    •    Solving complex data challenges with a unified, scalable platform that balances governance and agility
    •    Enabling AI-powered collaboration across business and technical teams to accelerate innovation
    •    Real-world applications of AI and machine learning in modern data management and decision-making
    •    Building resilient, future-ready data ecosystems that support continuous learning and adaptability
    •    Lessons from TransUnion’s journey in adopting a platform-first approach to AI transformation

  • 10:40

    NETWORKING BREAK

  • 11:10
    Panel Discussion-3

    Panel Discussion: AI is Changing the Relationship Between Data and the Business, as CDO/CDAO Are You Ready?

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    •    How to support the transition from decision support (charts and graphs) to decision automation (models) 
    •    Managing accountability for the Amplified Value and Amplified Risk of AI (AI Governance) 
    •    Scaling AI despite unprecedented operational complexity (AI Change Management) 
    •    How to embrace the CDO/CDAO responsibility as the Enterprise AI leader (AI Portfolio Management) 

    Panelists:
    Sam Marks, Director of Business Strategy & Analytics, BOSTON BRUINS & TD GARDEN
    Frederique De Letter, Head of Data Analytics & AI, PLANTE MORAN

  • 11:50

    Track Panel Discussions

  • 11:10
    Panel Discussion-3

    Track Panel Discussion: From Data Analyzer to Decision Enabler to Business Driver - How to Elevate Your Organization’s Data Analytics Maturity

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    •    How do you know when your organization is ready to move beyond basic analytics?
    •    What’s needed to position analytics as a core business driver, not just a support tool?
    •    How do you balance innovation and governance as analytics capabilities grow?
    •    What are the main blockers to analytics maturity—and how have you overcome them?

    Panelists:
    Rita Fuller, Corporate VP Center for Data Science and Artificial Intelligence, NEW YORK LIFE INSURANCE COMPANY
    Jasper Cannon, Strategy Consultant, CANNON STRATEGY CONSULTING

  • 11:10
    Panel Discussion-3

    Track Panel Discussion: Proving the Value: Measuring and Communicating the ROI of Analytics Initiatives

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    •    How to align analytics KPIs with broader business goals to track meaningful impact
    •    Balancing financial outcomes (e.g., cost savings, revenue growth) with intangible benefits like improved decision-making and customer experience
    •    Balancing financial outcomes (e.g., cost savings, revenue growth) with intangible benefits like improved decision-making and customer experience
    •    Balancing financial outcomes (e.g., cost savings, revenue growth) with intangible benefits like improved decision-making and customer experience

    Sadashiv K Vaasista, Senior Director, Analytics, HONEYWELL
    Kevin Kramer, Former SVP, Data Science & Analytics, RECOVERY CENTERS OF AMERICA

  • 11:10
    Panel Discussion-3

    Track Panel Discussion: Scaling Data & Analytics to Accelerate Your AI Journey

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    •    What are the foundational elements needed to successfully scale data and analytics in support of AI initiatives?
    •    How can organizations strike the right balance between speed, scalability, and governance when building AI-ready data architectures?
    •    What lessons have you learned from scaling AI across the enterprise, and what would you do differently in hindsight?



  • 12:30

    LUNCH

  • Breaking into Eco-System Tracks