AI @ 3M
Summary
- 3M has progressively integrated AI into manufacturing, healthcare, sales, and R&D processes since 2018, moving from traditional AI use in predictive healthcare and supply chain to advanced generative AI applications in clinical documentation and material science innovation by 2025.
- Key leaders like Paul Cardno and Rob Banovetz have driven an AI-first strategy, investing $3.5 billion in R&D focusing on AI-driven product innovation, digital materials platforms, enhanced revenue cycle management, and AI-powered factory optimization.
- 3M's AI adoption demonstrates strong maturity with diverse applications including automating complex clinical and manufacturing problems, improving sales forecasting with Azure ML, deploying conversational AI with AWS, and leveraging machine learning for energy-efficient manufacturing and denial management, indicating increasing investment and strategic focus on AI-led transformation.
VIBE METER
7 AI Use Cases at 3M
Factory Optimization2025
Supply Chain Optimization2024
Clinical Denial Management2024
Clinical Documentation2023Customer Facing
Sales Forecasting2022
Material Innovation2022
Revenue Cycle Management2020
Timeline
2025 Q3
3M’s AI strategy focuses on embedding intelligence across operations to dominate material science innovations, efficiency and product velocity.
2025 Q2
3M advances AI-first transformation strategy demonstrated at the 3M Open golf event with Perficient and Salesforce partnership; smarter factory systems enhance production and safety.
2025 Q1
3M announces $3.5 billion R&D investment for 2025-2027 focusing on AI-driven innovation, including launching a digital materials hub with 300+ product model combinations.
2024 Q4
Paul Cardno, 3M's global digital innovation lead, states AI is reserved for complex problems unsolvable by other means, reflecting a strategic and precise AI application approach.
2024 Q3
3M revolutionizes operations using AI and generative AI across manufacturing, supply chain, and clinical denial management to reduce costs and enhance efficiency.
2024 Q2
3M expands AI initiatives significantly in manufacturing, healthcare, and other sectors, emphasizing transformative impact of AI/ML.
2024 Q1: no updates
2023 Q4
3M discusses AI knowledge and large language model (LLM) safety on its internal blog, suggesting a deep engagement with advanced AI ethics and research.
2023 Q3: no updates
2023 Q2
3M partners with Telefónica Tech and AWS to deploy conversational AI for optimizing hospital emergencies and automating medical note-taking.
- Telefonica: Telefónica Tech and 3M optimise hospital emergencies with AI
- Forbes: Amazon & 3M Will Use Generative AI To Ease Documentation For Healthcare Providers
- STAT: Amazon partners with 3M to advance conversational AI in healthcare
- Fierce Healthcare: 3M taps AWS for conversational AI to advance medical note-taking
2023 Q1
3M embraces AI and machine learning in various business areas to optimize operations and product innovation.
2022 Q4: no updates
2022 Q3: no updates
2022 Q2
3M standardizes and accelerates sales forecasting using Microsoft Azure Machine Learning; introduces AI evangelism for clinical documentation improvements.
2022 Q1
Collaboration with Argonne National Lab using machine learning to enhance material manufacturing energy efficiency.
2021 Q4: no updates
2021 Q3: no updates
2021 Q2: no updates
2021 Q1: no updates
2020 Q4: no updates
2020 Q3: no updates
2020 Q2
3M develops speech and AI-powered clinician-assistive solutions to reduce technical burdens in healthcare revenue cycle management, improving time to care.
2020 Q1: no updates
2019 Q4
3M uses machine learning via AWS to innovate both existing products like sandpaper and new product development.
2019 Q3: no updates
2019 Q2: no updates
2019 Q1: no updates
2018 Q4: no updates
2018 Q3: no updates
2018 Q2
3M selects C3.ai as strategic AI software platform to deploy AI-based applications starting with predictive healthcare and supply chain analytics.