IBM
Latest IBM news, announcements & analysis
Tech
IBM's Secret Computer Was 200x Faster Than Rivals
A secret IBM computer built for the NSA during the Cold War was 200 times faster than any other machine. This early example of specialized hardware highlights the strategic advantage of purpose-built technology in security and business.
Navdeep Kaur Mahal ·
Data
Oracle Unlocks a Path Off Old IBM Mainframes
Oracle's AI Database now supports the EBCDIC character set used by IBM mainframes. This removes a major technical barrier, making it significantly easier for large enterprises to migrate their legacy applications to modern infrastructure.
Taranpreet Singh ·
Security
IBM and HashiCorp Automate a Major Security Chore
IBM and HashiCorp have updated IBM Vault Enterprise 2.0 to automatically manage LDAP credentials. This helps IT and security teams save time and reduce risk by automating password rotation and the entire identity lifecycle.
Neeraj Dhiman ·
Tech
IBM Launches First Quantum Chip Foundry
IBM is spinning off its quantum chip manufacturing into the first dedicated foundry for quantum computing components. This strategic move aims to accelerate the industry's growth by providing scaled production capabilities, signaling a major step towards the maturation of quantum technology for broader use.
Navdeep Kaur Mahal ·
AI
IBM Japan Builds New Tool to Tame AI in Development
IBM Japan is developing a new solution called ALSEA to help large companies integrate generative AI into their software development. The tool aims to standardize and govern AI use, moving it from experimentation to a core part of IT.
Neeraj Dhiman ·
AI
IBM and Nvidia Tackle AI Document Chaos
IBM, Nvidia, and Red Hat are creating an open standard for AI-native documents under the Linux Foundation. This new format, called DocLang, aims to simplify how AI systems process and understand complex business documents.
Neeraj Dhiman ·
AI
IBM's New AI Slashes Your Coding Bill
IBM launched 'Bob', a new AI coding platform that cuts costs by automatically selecting the most efficient AI model for each task. This helps companies control spending on usage-based AI coding tools.
Neeraj Dhiman ·