Katia Moskvitch

Kim Martineau

News

Research

IBM is developing an AI-powered IoT solution to manage and help monitor aging infrastructure

Artificial intelligence, drones and sensors set to save our crumbling infrastructure

Generative AI could offer a faster way to test theories of how the universe works

We’re helping reinvent how enterprises manage their assets, including automating anomaly detection, failure patterns, and sensor data. 

AI for Asset Management

Featured story

IBM TRIRIGA Capabilities Support Return to Work

IBM Solution: IBM Maximo Application Suite

IBM Solution: Maximo Assist

NeurIPS 2024

Big Data 2024

AAAI 2025

Foundation Models

AI for Business Automation

Automated AI

Computer Vision

AI for IT

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.

Modern computing architectures are revolutionizing the way business gets done. We’re working on tools to help businesses automate much of their daily processes, to save time and drive new insights through trusted, safe, and explainable AI systems.

We're designing models to help make supply chains more responsive, intelligent, sustainable, and automated. We're creating reusable toolkits infused with AI, for functions such as demand forecasting, inventory positioning, omni-channel fulfillment and returns, multi-tier network analysis, and more.

AI for Supply Chain

We’re researching how businesses prepare for the post-COVID workplace. We’re working on tools to improve recruitment, skills assessments, remote worker productivity, and to safely manage and monitor smart buildings as employees return to the office. 

Future of Work

We're working on smart systems to help businesses prepare for the impending return to the office.

Machine learning uses data to teach AI systems to imitate the way that humans learn. They can find the signal in the noise of big data, helping businesses improve their operations. We've been in the field since since the beginning: IBMer Arthur Samuel even coined the term “Machine Learning” back in 1959. 

Machine Learning

aerial photograph of a bridge with cars on it

AI for Asset Management

Our work

Generative AI could offer a faster way to test theories of how the universe works

Artificial intelligence, drones and sensors set to save our crumbling infrastructure

IBM is developing an AI-powered IoT solution to manage and help monitor aging infrastructure

IBM TRIRIGA Capabilities Support Return to Work

IBM Solution: Maximo Assist

Publications

Agentic AI for Digital Twin

LLM Assisted Anomaly Detection Service for Site Reliability Engineers: Enhancing Cloud Infrastructure Resilience

Structured Document Generation for Industrial Equipment

Optimal Transport for Efficient, Unsupervised Anomaly Detection on Industrial Data

Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision

Agentic Anomaly Detection for Shipping

IBM Solution: IBM Maximo Application Suite

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