Operationalizing AI: How To Move From Lab To Production Faster
Cisco, Monday, November 24th, 2025
The pressure for enterprises to deploy generative AI is undeniable, with 80% of leaders feeling increased urgency.
While creating AI models is more accessible than ever, the real challenge is operationalizing them according to the Cisco AI Readiness Index 2025. Moving a model from a lab to full-scale production often takes seven to twelve months, a timeline that hinders innovation and cedes competitive ground.
This delay stems from complex operational hurdles. Organizations face poor data quality, siloed information, and a persistent shortage of skilled AI talent. Additionally, significant concerns around cybersecurity, integration with existing IT estates, and data center network performance create substantial roadblocks. Success requires more than just powerful models; it demands a unified, scalable, and secure infrastructure designed for the unique demands of AI workloads.