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

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 ...

The authors argue that today’s agentic AI platforms are closer to experimental infrastructure than finished products.

The artificial intelligence (AI) systems most companies are building today are flying blind. Here's why context engineering is the missing piece and the race is already on. The promise of enterprise ...

Famous.ai is an AI app builder that turns plain-language prompts into complete, production-ready applications, including frontend, backend, database, hosting, and mobile publishing. It’s a no-code AI ...

Most business leaders struggle to prove the value of AI projects. Success comes down to storytelling, especially with the board. Focus on business outcomes and track your progress carefully. Evidence ...

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 ...

Practitioners who provide client advisory services (CAS) can address staffing pressures and rising client expectations through the implementation of artificial intelligence (AI) tools. Using AI tools ...

The Linux Foundation, the nonprofit supporting open-source projects such as the Linux operating system kernel, today announced the formation of the Agentic Artificial Intelligence Foundation alongside ...

Expanded partnership introduces AI agents that go beyond advice to take action—giving customers project recommendations and managing complex material orders for pros NEW YORK, Jan. 11, 2026 ...

Nearly all corporate artificial intelligence pilot projects fail to deliver measurable business value, according to new research — a finding that comes as Louisiana companies accelerate AI hiring ...