While users and companies have been trying to figure out how to implement it, AI has evolved from a nascent trend to a staple of modern business development. Although it seems AI is being applied across the board, most organizations continue to be held back by outdated infrastructure at first glance, inefficient budgets and a lack of strategic focus. In this white paper, we guide infrastructure leaders and transformation teams through the essential principles of AI-ready infrastructure: what it is, why it matters and what steps to take now.
Key takeaways
- Who it’s for. CIOs, CTOs, CFOs, Infrastructure & Platform Directors, SREs and AI program owners in enterprise organizations.
- Signals from the market. Current AI adoption statistics, market growth, cost of inaction and common pain points in organizations.
- AI-ready infrastructure. Definition, key components, the reasons for modernization and AI-ready vs. traditional infrastructure comparison.
- Practical guide. This guide consists of an AI-ready infrastructure roadmap, five essential questions to answer right now and a strategic questionnaire. It’s designed to help you identify your current state, determine the appropriate next steps and develop a tailored plan for AI infrastructure that aligns with business objectives.
