Artificial Intelligence

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AI models

When AI models begin to notice their own thoughts

Artificial intelligence is starting to study itself. Researchers have found early signs that large language models (LLMs) can sometimes recognize their own inner workings.

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Latest in AI and Agents

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AI Academy

This fast-paced curriculum explores topics and assets that span three core learning areas: strategic essentials, key elements for enterprise AI, and how to put AI to work.

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Put AI to work for Observability

By providing deeper insights into why a system is behaving in a particular way, observability helps in root cause analysis problems and allows you to proactively prevent future problems.

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Creating a Data Strategy for AI

In this episode of AI Academy, Cathy Reese explains why organizations need a data strategy that’s ready for advanced AI, which will require them to harness their highest quality data assets.

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What’s next for mainframes and AI?

Christian Jacobi, CTO of Systems Development at IBM, explaining mainframes’ vital role in today’s world and why they are critical to AI’s next big breakthrough.

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Reimagine business productivity with AI agents and assistants

AI has the power to free human beings from the monotonous parts of work and reimagine how they interact with technology. Learn how AI agents and AI assistants can work together to achieve new levels of productivity.

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Businesses have systems of intelligence. Now they should move to systems of action

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When the AI agent joins the org chart

As companies ramp up to implement AI agents across workloads, managers have to learn how to navigate and run a mixed environment of human and non-human workers.

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The CMO’s new playbook

The role of the CMO has fundamentally shifted from brand stewardship to business transformation.

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