Special Webinar Event AI Pilots to Enterprise Scale: The Architecture and Governance Imperatives for Financial Services

Featuring

  • Qlik
  • Accenture
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About This Webinar

AI pilots have delivered promising results across financial services — but scaling AI across the enterprise is a very different challenge.

Join Qlik and Accenture for an executive-level discussion on what it truly takes to move from proof-of-concept to enterprise impact. This session goes beyond the hype to examine the architectural, governance, and operating model shifts required to support agentic AI at scale.

We'll explore why the semantic layer is emerging as the strategic battleground for AI, what infrastructure is needed to support autonomous AI agents, and how leaders can maintain trust, accountability, and control as AI moves from tool people use to colleague that acts.

The conversation will also look ahead: twelve months from now, what will separate organizations that successfully scaled AI from those still running pilots?

Designed for senior leaders in banking and insurance, this session provides clear, forward-looking insight into building a governed, scalable, and economically sound AI foundation for 2026 and beyond.

  1. Mackenzie Putici

    Host Mackenzie Putici Webinar Moderator, Future B2B

  2. Ryan Welsh

    Featuring Ryan Welsh Field CTO, Qlik

  3. John Ratzan

    Featuring John Ratzan Sr. Managing Director, Accenture

  4. Sudarshana Bhattacharyya

    Featuring Sudarshana Bhattacharyya Client Account Leader, Accenture

Why You Should Join

  1. How to move from successful AI pilots to enterprise scale — including the architectural, governance, and operating model shifts required to deliver measurable ROI across the organization.
  2. Why the semantic layer is becoming the strategic control point for AI — and how modern data architecture creates competitive advantage in financial services.
  3. What it takes to support autonomous AI agents responsibly — from infrastructure and context layers to accountability, trust, and regulatory alignment.
  4. What will separate AI leaders from laggards over the next 12 months — and the strategic bets organizations must make now to scale AI with control and cost discipline.