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Syed Yousaf Shah

 Dhaval Patel

Wesley Gifford

Thomas Parnell

Haris Pozidis

Łukasz Ćmielowski

Daniel Ryszka

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Michelle Brachman

Kartik Talamadupula

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Simplifying data: IBM’s AutoAI automates time series forecasting

Goal-oriented flow assist: supporting low code data flow automation with natural language

How IBM is helping a major retailer stay ahead of the holiday crunch

What is AI alignment?

Software has eaten the world. What now?

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

Snap ML pushes AutoAI to deliver 4x-faster automated machine learning on IBM Cloud

Tech Preview: IBM Federated Learning

IBM Solution: AutoAI on IBM Watson Studio

AAAI 2024

IAAI 2024

IUI 2024

ICLR 2024

AAMAS 2024

Fairness, Accountability, Transparency

AI for Asset Management

Foundation Models

AI for Business Automation

AI for Code

Automated AI

Human-Centered AI

Machine Learning

Natural Language Processing

Generative AI

AI for IT

Application Modernization

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.

Most enterprises rely on large volumes of aging code that are a challenge to debug, maintain, and update. At IBM Research, we’re using AI to help modernize software stacks, designing automated programming and refactoring systems to help businesses keep up with the speed of modern life. 

There’s an ever-increasing demand on business systems to keep up with the speed of the web. We’re designing systems to help organizations modernize their applications, while reducing the time it takes businesses to rebuild their products to take advantage of the benefits of the hybrid cloud. 

We're building tools to help AI creators reduce the time they spend designing their models. Our goal is to allow non-experts across industries to build their own AI solutions, without writing complex code or performing tedious tuning and optimization.

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