Blueprints for Success: Steering a Global Data & AI Architecture
Why do so many AI projects fail after the pilot? Merck shares its governance blueprint for steering proof-of-concepts all the way to production.
#1about 2 minutes
Understanding Merck's diverse global business sectors
Merck operates globally across life science, healthcare, and electronics, creating a complex environment for data and AI.
#2about 1 minute
The three pillars of Merck's data and AI strategy
The company's data and AI strategy is built on three pillars: fostering a data-driven culture, a hub-and-spoke operating model, and a central ecosystem called Optimize.
#3about 3 minutes
An overview of the Optimize data and AI ecosystem
The Optimize ecosystem integrates various data sources using a tech stack that includes AWS, Palantir, and Snowflake, offering services from dashboarding to generative AI.
#4about 2 minutes
Addressing the challenges of scaling a global data platform
With over 1,400 solutions in production, key challenges include aligning business sectors, preventing tool proliferation, and maintaining security at scale.
#5about 3 minutes
Managing new tool requests and controlling shadow IT
A formal IT tool request process and a "soft block" at the corporate firewall are used to guide employees toward approved solutions and manage shadow IT.
#6about 2 minutes
Guiding users with architecture documents and blueprints
Capability maps and architecture blueprints help teams select the correct tools within the Optimize ecosystem and follow best practices for implementation.
#7about 3 minutes
Implementing a mandatory architecture review process
A mandatory architecture review is required before provisioning AWS or Snowflake accounts and again before production deployment to ensure security and alignment.
#8about 2 minutes
Fostering collaboration with a hub-and-spoke model
Sector lead architects and monthly meetings facilitate communication and alignment, while the Scaled Agile Framework guides ecosystem development.
#9about 3 minutes
Using AI to enhance architecture governance in the future
Future plans include using AI to augment architecture reviews, create a helpful chatbot for developers, and automate the detection of unauthorized tools.
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