World Congress 2025 • Aug 20, 2025 • Session details

Blueprints for Success: Steering a Global Data & AI Architecture

Dominik Schneider

Merck stopped unauthorized AI use by redirecting employees to a secure, internal GPT clone. Dominic Schneider reveals the architecture governing and scaling over 1,400 enterprise data solutions.

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#1 about 2 min

Merck business overview and market diversity

Merck operates diverse business areas with a legacy spanning life science, healthcare, and electronics.

#2 about 2 min

Three pillars of the data and AI strategy

The data strategy relies on foundational pillars focusing on culture, operating models, and business teams.

#3 about 4 min

Core components of the internal Optimize ecosystem

The centralized data services environment covers cloud storage, AI workflows, and regulatory compliance.

#4 about 2 min

Ecosystem adoption progress and governance alignment challenges

Scaling data tools across the organization requires balancing rapid adoption with security and governance.

#5 about 3 min

Managing external tool requests and mitigating shadow IT

Interceptor processes redirect unauthorized software usage and guide users toward approved corporate tools.

#6 about 2 min

Navigating architecture guidance for internal tool selection

Capability maps and architecture blueprints help consolidate technology and guide users to appropriate tools.

#7 about 3 min

Provisioning cloud infrastructure through centralized architecture reviews

A mandatory review process establishes governed environment accounts for centralized AI use cases.

#8 about 2 min

Mandating infrastructure as code for secure production deployment

Mandating infrastructure as code and automated deployment pipelines ensures robust and secure production releases.

#9 about 2 min

Driving sector collaboration with scaled agile framework ceremonies

Embedded lead architects and agile ceremonies align decentralized teams with the central data ecosystem.

#10 about 3 min

Augmenting future architecture governance processes with generative AI

Automated architecture reviews, specialized chatbots, and dynamic tool detection aim to enhance operational efficiency.

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Core preventative strategies for sustainable artificial intelligence implementations

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Simplifying AI deployments using architectural blueprints and reference implementations

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Scaling generative AI use cases across large enterprises

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Implementing an enterprise AI playbook across data and people

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