IBM Solution: IBM Cloud Pak for Watson AIOps

Hybrid Cloud

AAAI 2022

ICSE-SEIP 2021

IAAI 2022

IFIP DBSec 2021

ICSE 2021

CLOUD 2021

AI for IT Operations

AI can help sift through the noise to identify significant patterns in the increasingly large pools of data generated by enterprises. We’re reimagining IT operations, using AI to automate core processes, better detection and diagnosis, preformance monitoring, and explainable action recommendations.

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

Cyber attacks, from botnets to zero-day exploits, cost the world billions each year. We're working to build trusted systems that can proactively help organizations defend against attacks, by identifying bugs and vulnerabilities in code and systems, securing them, and preventing them from being exploited.

Security Analysis at Scale

Building trusted systems that can proactively help organizations defend against advanced cyber attacks.

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. 

Ontology source files for the IT Operations Ontology derived from Wikidata, DBPedia and Wikipedia.

AI for IT Operations

Tools + code

ITOPS: an ontology for IT Operations

Publications

IBM Solution: IBM Cloud Pak for Watson AIOps

Related topics

Explainable AI

AI for Business Automation

Security Analysis at Scale