AI for IT
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.
Our work
Generative AI could offer a faster way to test theories of how the universe works
NewsKim Martineau- AI
- AI for Asset Management
- AI for Business Automation
- AI for IT
- Automated AI
- Foundation Models
Find and fix IT glitches before they crash the system
NewsKim Martineau- AI for Code
- AI for IT
- Explainable AI
- Foundation Models
- Generative AI
From silicon to hybrid cloud, Nick Fuller has charged towards the future of computing
News3 minute read- AI for IT
- Application Modernization
- Edge Computing
- Hybrid Cloud Platform
- Scaling AI
- Semiconductors
Publications
- Karan Bhukar
- Harshit Kumar
- et al.
- 2024
- ICSE 2024
- Xi Yang
- Rohan Arora
- et al.
- 2024
- IAAI 2024
- Santosh Palaskar
- Vijay E
- et al.
- 2024
- IAAI 2024
- 2023
- Appl. AI Lett.
- Bhavya -
- Paulina Toro Isaza
- et al.
- 2023
- ICDM 2023
- Frank Bagehorn
- Jagriti Maurya
- et al.
- 2023
- CASCON 2023
IBM Solution: IBM Cloud Pak for Watson AIOps
Our research has contributed to the development of IBM Cloud Pak for Watson AIOps, which deploys advanced, explainable AI across the entire IT operations toolchain to assess, diagnose, and resolve incidents for mission-critical workloads.
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