AI still struggles to recognize sarcasm. Researchers haven’t given up.

Synthetic data helps save lives and protect customers. But combining privacy and accuracy remains a challenge.

Companies with a CAIO had a 5% higher return on their AI investments. How did they do it?

Critics call orbital data centers “peak insanity.” Engineers are chipping away at the challenges.

17 experts predict what’s ahead for AI, quantum and security

Their emails landed in clients’ spam folders. Getting back to the inbox took months.

Replacing human agents with chatbots that can’t resolve issues leaves customers frustrated and unsupported. There’s a better way.

A customer wakes up to an email: “Your order has been canceled.” But they didn’t cancel it. Your system did.

Learn about supervising, coordinating and governing AI agents across an organization.

A new paper from researchers at Microsoft points at a major problem with AI workflows.

For companies pursuing agentic transformation, the challenge is no longer getting to real-world results—it’s controlling what happens next.

Learn about a structured, scalable end-to-end methodology for building and managing enterprise AI agents.

An IBM developer says AI tools now handle much of the early work of building demos, letting him jump straight into experimentation.

Learn how agent control planes deploy, operate, monitor and govern AI agents across an organization.

See how the world’s leading brands are charting the path to build smarter businesses with agentic AI.

Build an AI-powered support agent that serves customers across different languages, powered by cross-lingual LLMs and watsonx Orchestrate.

The organizations that win the agent era can govern, orchestrate and scale an agent workforce across clouds, vendors and systems.

A new study offers a detailed look into which AI initiatives ITOps team prioritize, and what’s driving adoption.

Learn where agentic AI is already delivering value, where the technology is still evolving, and how to prioritize investments.

The future of automation is a deliberate balance of agentic and deterministic approaches.

Not only can AI agents write code, they can also improve the code quality and optimize the software development cycle.

The Mixture of Experts panel discusses scientists' Claude Code use, and how Adobe’s CFO turned his finance team into an AI lab.

A comprehensive resource with explainers and hands-on tutorials

Anderon, a new IBM company, will be America's first pure-play quantum foundry

Recent results show how quantum computers could begin to tackle some of the most computationally demanding tasks in finance.

New demonstration of a 52-qubit quantum Fourier transform shows how ecosystem innovation improves algorithm performance on quantum hardware.

“Most of the applications are probably yet to be discovered.”

Jay Gambetta, Director of IBM Research, believes quantum computing could be just as transformative: not just a new tool, but a new way of thinking.

Learn about state-of-the-art processing hardware that solves complex problems using quantum mechanics.

Brassard spent forty years warning the world that its secrets could be stolen.

“You can have 10 things that are wonderful, but if one thing is not right, nothing works.”

Mainframes such as IBM Z have hidden in plain sight and powered the world of commerce since the 1960s.

AI is as strong as the systems that support it, and today those systems are strained. Modernizing integration architecture becomes the real foundation of AI readiness.

Learn how hardware capability enables the matrix math required to run LLMs, and hear creative examples of how to put AI to work.

With the majority of enterprise data residing on them, mainframes are a perfect fit for integrated AI.

Learn how an AI stack provides a structure for building AI solutions.

An intentional hybrid cloud approach can help your business improve operational agility and scalability.

As power limits and GPU scarcity reshape the AI landscape, leading organizations are shifting from deployment to optimization.

If succeeding with AI means redirecting your enterprise infrastructure, will the gains outweigh the costs?

The success of AI initiatives heavily depends on the underlying infrastructure’s ability to support demanding workloads efficiently.

Remove the friction that keeps data, workflows and intelligence from moving at the speed the business requires.

Learn how these two deployment types differ in running AI models and where they store and process data.

Making intentional architecture decisions is key to amplifying the value of hybrid cloud and AI.

"Attackers simply do not need zero-days, they just need valid credentials and a little bit of patience."

An IBM expert sees a few big shifts reshaping the data stack all at once.

17 experts predict the year ahead.

IBM asked more than 1,000 C-suite executives how economic, geopolitical and technological factors would influence their decision-making in 2026.

In 2026, AI adoption will force organizations to make their observability strategies more intelligent, cost-effective and compatible with open standards.

The Mixture of Experts panelists recap 2025 and predict 2026.

2026 is an inflection point for enterprise AI: the agentic pivot.

New risks from autonomous AI and AI-assisted social engineering

Explore Gartner’s nine predictions for 2026 and how businesses can prepare.

The coming 12 months will be defined by the scramble to develop wiser models that think before they speak and do more with less.