A naukri.com initiative
Medium
2d
310
Image Credit: Medium
Commercializing AI: Bridging the Market Readiness Gap
- The potential impact was enormous — delays in major infrastructure projects cost millions, and early prediction saves time and money.
- The infrastructure sector appeared perfect for AI disruption. Eight out of ten executives expressed strong interest in AI adoption. Yet only a minority were ready for implementation.
- Readiness is multi-dimensional. It’s not enough to have executive buy-in or technical capability. Success requires alignment across user readiness (time and ability to engage), organizational readiness (processes and data practices), and industry readiness (standardization and digital maturity).
- Success in AI commercialization often comes from starting simple and narrow. Create immediate value, then build toward sophistication.
- In AI commercialization, you must sequence carefully: deliver value first, then gradually increase the ask for user investment.
- The AI we used was relatively simple — mainly focused on listing localization and management.
- Understanding user readiness, organizational readiness, and industry readiness determines your optimal approach.
- Success in AI commercialization requires understanding not just what’s technically possible, but how readiness and time-to-value intersect to create windows of opportunity.
- Success requires both sophisticated technology and the wisdom to know when and how to deploy it.
- My expertise lies in navigating complex global product ecosystems while leveraging AI to simplify user experiences and drive explosive growth.
Read Full Article
18 Likes
For uninterrupted reading, download the app