IBM and Kaggle launch new AI leaderboards for enterprise tasks
News
Mike Murphy
AI for Asset Management
We’re helping reinvent how enterprises manage their assets, including automating anomaly detection, failure patterns, and sensor data. We’re creating AI that fuses noisy sensor data, images, and text from operator logs and repair manuals to enable intelligent workflows with natural-language explanations.
Our work
How IBM built an AI model to discover railroad defects before they’re critical
NewsPeter HessHow AI could help stretch the life of industrial equipment
ResearchKim MartineauAn AI model with a finger on the time series pulse
ReleaseKim MartineauGenerative AI could offer a faster way to test theories of how the universe works
NewsKim MartineauArtificial intelligence, drones and sensors set to save our crumbling infrastructure
ResearchKatia Moskvitch5 minute readIBM is developing an AI-powered IoT solution to manage and help monitor aging infrastructure
News3 minute read
Featured story
IBM TRIRIGA Capabilities Support Return to Work
Developed by IBM Research, TRIRIGA’s dynamic space planning allows facility managers to determine proper social distancing between workspaces as they plan their new layouts.
IBM Solution: Maximo Assist
IBM Research developed key capabilities, including voice recognition for hands free inspections, remote collaboration using augmented reality, and IoT-enabled analytics for workplace safety, that have been developed into new features for Maximo Assist.
Download brief
Publications
SatWellMCQ: A Vision–Language Satellite Dataset for MCQ‑Based Image Grounding of Oil Wells
- Ahmed Emam
- Sultan Alrowili
- et al.
- 2026
- IGARSS 2026
Conference paperUnsupervised Cycle Detection in Agentic Applications
- Felix George
- Divya Pathak
- et al.
- 2026
- ICPE 2026
Short paperSPIRAL: Symbolic LLM Planning via Grounded and Reflective Search
- Yifan Zhang
- Giridhar Ganapavarapu
- et al.
- 2026
- AAAI 2026
Conference paperFrom Inception to Productization: Hands-on Lab for the Lifecycle of Multimodal Agentic AI in Industry 4.0
- Chathurangi Shyalika
- Saumya Ahuja
- et al.
- 2026
- AAAI 2026
TutorialAgentic Code Generation for Heuristic Rules in Equipment Monitoring
- Fabio Lorenzi
- Abigail Langbridge
- et al.
- 2026
- AAAI 2026
Workshop paperDiversity meets Relevancy: Multi-Agent Knowledge Probing for Industry 4.0 Applications
- Christodoulos Constantinides
- Dhaval Patel
- et al.
- 2026
- IAAI 2026
Conference paper
IBM Solution: IBM Maximo Application Suite
Our recent work on AI for anomaly detection, failure pattern analysis, and digital twin creation has been developed into state-of-the-art capabilities for IBM Maximo Application Suite.
Learn more