Ai Strategy

4 articles

Abstract representation of disconnected AI infrastructure components in an enterprise setting, highlighting project failures and the need for integration.

Disconnected AI Infrastructure Components for Enterprises

Enterprises are spending an average of $1.5 million annually on AI infrastructure, yet nearly half of all AI projects are scrapped between the proof-of-concept (PoC) and production stages. This substantial investment, juxtaposed with widespread project failure, exposes a critical flaw in how organizations operationalize artificial intelligence.

Sophie Laurent·June 6, 2026

A futuristic cityscape with holographic AI interfaces, symbolizing the complex integration of artificial intelligence in enterprise environments.

Data & Automation

What Are AI Governance Best Practices for Enterprise Adoption?

78% of IT leaders reported unexpected SaaS charges from consumption-based or AI pricing models, revealing a hidden financial strain in enterprise AI adoption.

Helena Strauss·May 6, 2026

Futuristic cityscape with data streams, illustrating AI technical debt and enterprise data management challenges.

Data & Automation

What are AI tech debt management strategies for enterprises?

Data quality issues are the No.

Helena Strauss·April 12, 2026

A diverse team of professionals analyzing complex data on a transparent screen, making strategic decisions about enterprise LLM selection for 2025, symbolizing AI strategy and deployment.

7 Essential Questions for Selecting an Enterprise LLM in 2025

Developing a strategy for selecting an enterprise LLM is crucial. This guide outlines 7 essential questions about performance, security, and integration to help you make an informed decision.

Arjun Mehta·April 6, 2026