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DateTime & Timezone

VenueLocation

Agenda

Event program

  1. 15:00

    Welcome drinks

    This is an example of what a description looks like.

  2. 15:30

    Sessions

    This is an example of what a description looks like.

    • Strategy & roadmap
    • Maturity assessment & diagnostic
    • Use-case & value identification
    • Target operating model
    • Governance, risk & compliance design
    • Change & adoption strategy
  3. 17:30

    Sessions

    This is an example of what a description looks like.

    • Strategy & roadmap
    • Maturity assessment & diagnostic
    • Use-case & value identification
  4. 20:00

    Networking & Conclusion

    This is an example of what a description looks like.

Speakers

Meet the speakers

Our speakers bring a wealth of knowledge and experience, ready to share insights that will inspire and empower you.

  • Name Surname

    Name Surname

    Position at company

  • Name Surname

    Name Surname

    Position at company

  • Name Surname

    Name Surname

    Position at company

Sessions

Featured sessions

15:30
Name SurnameName SurnameName Surname

Repair, replace, or rebuild? The path to an AI-ready analytics stack

Real-world case studies on the decision every legacy analytics platform eventually faces: patch it, replace it, or rebuild it — and what teams gained in sales, loyalty, and retention once they made their move.

15:30
Name SurnameName SurnameName Surname

Still personalizing on yesterday's data? Real-time CX with Confluent

How streaming omnichannel events into a live customer view powers next-best action and consistent experiences across every channel — and what changes operationally once teams work from live data instead of last night's batch.

17:30
Name SurnameName SurnameName Surname

Still personalizing on yesterday's data? Real-time CX with Confluent

How streaming omnichannel events into a live customer view powers next-best action and consistent experiences across every channel — and what changes operationally once teams work from live data instead of last night's batch.

17:30
Name SurnameName SurnameName Surname

Repair, replace, or rebuild? The path to an AI-ready analytics stack

Real-world case studies on the decision every legacy analytics platform eventually faces: patch it, replace it, or rebuild it — and what teams gained in sales, loyalty, and retention once they made their move.

Why attend

What's actually in it for you

  • Short title

    Manage volatility across different business lines and geographies.

  • Short title

    Manage volatility across different business lines and geographies.

  • Short title

    Manage volatility across different business lines and geographies.

  • Short title

    Manage volatility across different business lines and geographies.

Venue

Getting there

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Venue photograph — demonstration
Venue name, City
Venue map — demonstration, location not confirmed

FAQ

Understanding how this actually works

A quick look at the frequently asked questions we hear most.

Industrialization: process redesign, operational infrastructure and integrated systems, not another proof of concept.

Don't optimize the present. Compound the future.

One-off optimizations get replaced. An architecture that improves with every cycle does not. Value is moving into the underlying architecture of the organization, and each deployment reinforces the next.

  • Build once
  • Deploy across teams
  • Improve over time