Arvind Krishna

News

Changing the way the world works: IBM Research’s “5 in 5”

From seed to shelf: How IBM innovations will transform every stage of the food supply chain within the next five years

INFORMS 2022

Big Data 2022

AAAI 2023

Trustworthy AI

AI for Supply Chain

Security

Cryptography

Distributed Systems

Science

Climate

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.

AI for Asset Management

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.

AI for Business Automation

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.

To respond to the global climate emergency, we're using AI and hybrid cloud to accelerate discovery of climate mitigation and adaption solutions. We're improving carbon emission performance through optimization and capture, and preparing enterprises for the impact of climate change.

Climate and Sustainability

Using AI and the hybrid cloud to accelerate the discovery of climate mitigation and adaption solutions to respond to the growing global climate emergency.

To trust AI systems, explanations can go a long way. We’re creating tools to help debug AI, where systems can explain what they’re doing. This includes training highly optimized, directly interpretable models, as well as explanations of black-box models and visualizations of neural network information flows.

Explainable AI

We’re creating tools to help AI systems explain why they made the decisions they did. 