Merck operates globally across life science, healthcare, and electronics, creating a complex environment for data and AI.
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.
The Optimize ecosystem integrates various data sources using a tech stack that includes AWS, Palantir, and Snowflake, offering services from dashboarding to generative AI.
With over 1,400 solutions in production, key challenges include aligning business sectors, preventing tool proliferation, and maintaining security at scale.
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.
Capability maps and architecture blueprints help teams select the correct tools within the Optimize ecosystem and follow best practices for implementation.
A mandatory architecture review is required before provisioning AWS or Snowflake accounts and again before production deployment to ensure security and alignment.
Sector lead architects and monthly meetings facilitate communication and alignment, while the Scaled Agile Framework guides ecosystem development.
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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