What challenges did Bayer face before AI implementation?

Centralize AI and ML development environments for Bayer’s Crop Science data science teams. Reduce time to launch secure development environments. Improve AWS skills and cloud fluency so teams can use the platform effectively. Increase productivity and collaboration across global data science teams.

What was the impact of the AI solution?

Launch development environments in hours instead of days. 70% faster onboarding of data science colleagues. Automating tasks with Amazon Q increased development productivity by up to 30%. Over 70% of users felt confident navigating AWS services after training, versus 20% before training. Over 1,000 Bayer employees took part in AWS training.

Source

Evidence: Medium50/100

Bayer builds Decision Science Ecosystem on AWS for AI/ML productivity

Use case typeData platform modernizationUpdated Dec 18, 2024

Bayer’s Crop Science division built the Decision Science Ecosystem (DSE) on AWS to centralize AI and ML development environments and improve data science productivity. The platform is built on Amazon SageMaker Studio and uses Amazon Bedrock and Amazon Q to support guardrails, documentation, and task automation. Bayer also paired the platform with AWS Training and Certification to upskill employees and improve cloud fluency across data scientists, engineers, analysts, and managers.

Organization: Bayer
Industry: Agriculture
Location: Germany
Published: December 2024

Reported outcomes

Employees trained: More than 1,000 count

Other quantified impact

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Onboarding speed: 70% increase

AWS Solutions Case StudyDec 18, 2024Customer storyExplicit claimMedium evidence strength

70 percent faster onboarding of data science colleagues

Normalized claim

Development productivity: 30% increase

AWS Solutions Case StudyDec 18, 2024Customer storyExplicit claimMedium evidence strength

increasing development productivity by up to 30 percent

Normalized claim

User confidence navigating AWS services: 70% increase

AWS Solutions Case StudyDec 18, 2024Customer storyExplicit claimMedium evidence strength

over 70 percent of users now feel confident navigating AWS services, allowing them to innovate more efficiently

Normalized claim

Employees trained: 1,000 count increase

AWS Solutions Case StudyDec 18, 2024Customer storyExplicit claimMedium evidence strength

Over 1,000 Bayer employees took part in AWS training

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Bayer
Provider: AWS
Maturity: Unknown
Linked source: AWS Solutions Case Study

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 3 of 3

1Data platform modernization
2Developer productivity
3Training infrastructure modernization

Bayer developed the Decision Science Ecosystem with pre-defined AWS environments built on Amazon SageMaker Studio.
The platform uses Amazon Bedrock to help diagnose guardrail issues and Amazon Q to enhance documentation and automate tasks.
Bayer created persona-based learning paths with AWS Training and Certification, including AWS Classroom Training, AWS Skill Builder, and hands-on Immersion Days.

Technologies

Amazon SageMaker Studio Amazon Bedrock Amazon Q AWS Training and Certification AWS Skill Builder

Launch development environments in hours instead of days.
70% faster onboarding of data science colleagues.
Automating tasks with Amazon Q increased development productivity by up to 30%.
Over 70% of users felt confident navigating AWS services after training, versus 20% before training.
Over 1,000 Bayer employees took part in AWS training.

Architecture

The Decision Science Ecosystem is a centralized platform for Bayer’s Crop Science division built on Amazon SageMaker Studio with predefined AWS environments. Bayer uses Amazon Bedrock for diagnostic support around guardrails and Amazon Q for documentation and task automation. The rollout is complemented by AWS Training and Certification, including AWS Classroom Training, AWS Skill Builder, and Immersion Days, to upskill users and support adoption.

Sources & evidence1

Evidence: Medium50/100Evidence strength