Releases

IBM released governance tooling for model risk, transparency, compliance and lifecycle oversight.

IBM released generative coding assistants for Red Hat Ansible automation and mainframe application modernization.

IBM Research published a memory-centric neural inference chip designed for high energy efficiency.

IBM made its first 13B Granite enterprise language models available through watsonx.ai.

IBM released the first enterprise-focused Granite language and code models in watsonx.

IBM launched its open lakehouse data store optimized for governed analytics and AI workloads.

IBM began general availability of its foundation-model and machine-learning development studio.

IBM Consulting launched a center with more than 1,000 specialists to support enterprise generative-AI adoption.

IBM Consulting announced a dedicated generative-AI center and delivery practice alongside watsonx.

IBM announced watsonx as an integrated AI and data platform for enterprise foundation-model development and governance.

IBM Research disclosed an AI accelerator built for efficient enterprise inference.

IBM introduced z16 with Telum-powered real-time AI inference for mission-critical transactions.

IBM agreed to sell healthcare data and analytics assets from Watson Health to Francisco Partners.

The Telum announcement established a new generation of IBM infrastructure with integrated AI acceleration.

IBM unveiled Telum with on-chip AI acceleration for high-volume transactional inference.

The completed Red Hat acquisition established the hybrid-cloud and open-source platform underpinning IBM's later AI portfolio.

IBM completed its acquisition of Red Hat to anchor an open hybrid-cloud platform for enterprise software and AI.

IBM Research demonstrated an AI system that generated evidence-backed arguments and debated a human expert.

IBM commercialized enterprise conversational-AI tooling that evolved into watsonx Assistant.

IBM launched an AI-powered enterprise search and document-understanding service.

IBM created Watson Health to apply data and cognitive-computing technologies across healthcare and life sciences.

IBM publicly demonstrated its DeepQA question-answering architecture through the Jeopardy! competition.

IBM Watson defeated champions Ken Jennings and Brad Rutter in the Jeopardy! exhibition, demonstrating large-scale open-domain question answering.

IBM's Deep Blue defeated world chess champion Garry Kasparov in a six-game match.

IBM researchers began foundational work in machine learning, game-playing systems and artificial intelligence during the field's formative era.

The company that became IBM was incorporated as the Computing-Tabulating-Recording Company.