This challenge is for Moonshot Catalysts showcasing at DTW Ignite 2026.
How can CSPs industrialize AI and data into a standardized, interoperable, and zero‑trust agentic platform, so that AI moves from pilots to production at scale, integrates with existing OSS/BSS and network investments, avoids new data silos, and enables outcome-based “AI‑native” services across ecosystems with accountable assurance and monetization - while scaling AI Native applications 30 % faster?
The challenge calls for CSPs to industrialize AI and data into a standardized, interoperable, and zero‑trust agentic platform, enabling AI to move from experimentation into production at scale. Solutions should integrate seamlessly with existing OSS/BSS and network investments, avoid new data and model silos, and support AI execution across cloud, edge, and on‑prem environments.
Successful approaches will demonstrate how AI capabilities including models, analytics, and intelligent agents can be delivered and consumed as reusable, governable services. This includes natural‑language interaction, real‑time insight and decisioning, vendor‑neutral runtimes, and policy‑driven security, allowing both humans and machines to safely access intelligence and trigger outcomes across multi‑vendor and multi‑partner ecosystems.
The outcome is an AI‑native data and intelligence platform that enables CSPs to scale AI‑native applications at least 30% faster, while delivering trusted, outcome‑based services that can be assured, monetized, and exposed confidently across the digital ecosystem.
Each Moonshot Challenge will be allocated an Executive Coach to provide invaluable feedback on business readiness and technical viability. Executive coaches will schedule a 30-minute advisory call with allocated Moonshot Catalysts, to guide them & offer their feedback.
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