Most companies still approach AI like a software rollout, when in reality it behaves more like an organizational stress test.

Bridging the expectation gap begins with creating a shared language for discussing AI.

Eight LinkedIn Learning courses to build AI skills in 2026, from generative AI and ethics to agents, productivity, ...

Learn how to use no-code AI automation and workflow automation tools to build simple, powerful AI workflows that streamline ...

World models like Genie 3 create a video that responds to your control inputs, allowing you to explore the simulation as if ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

MIT's Project NANDA reported in July 2025 that around 95% of enterprise GenAI pilots failed to deliver measurable value. The ...

Companies hate to admit it, but the road to production-level AI deployment is littered with proof of concepts (PoCs) that go nowhere, or failed projects that never deliver on their goals. In certain ...

Executives have poured billions into artificial intelligence, only to discover that most of those projects never make it past the pilot stage or fail to deliver meaningful returns. A recent wave of ...

Under the hood, Project Genie evolves from Genie 3, a world model first demonstrated by Google DeepMind last year. Unlike fully 3D game engines, world models ...

Practical NLP projects demonstrate problem-solving ability and workplace readinessFewer strong projects create more impact ...