Bridging the AI readiness gap: Why security, ecosystem alignment, and multi-cloud matter

As Artificial Intelligence rapidly moves from experimentation to becoming a core business capability, enterprises are grappling with a critical challenge – scaling AI securely and consistently across complex hybrid and multi-cloud environments. While adoption is accelerating, true AI readiness demands far more than pilots; it requires strong security foundations, architectural alignment, and ecosystem collaboration. In this interaction with Express Computer, Pratik Shah, Managing Director – India & SAARC, F5, shares insights on how organisations can bridge the gap between AI ambition and execution, leverage partnerships across infrastructure and cloud, and enable Indian CIOs to future-proof their AI strategies through governance, zero trust, and adaptive, AI-ready infrastructure. 

How can enterprises move from AI experimentation to secure, scalable deployment through ecosystem alignment?

As AI becomes central to business strategy, the gap between experimentation and scalable deployment is becoming increasingly visible. AI readiness goes far beyond experimentation, it requires a robust foundation ...