How Enterprise Architects can get more support for technology led innovation
Enterprise Architects are increasingly vital as guides for technology-led innovation, but they often struggle with obstacles like siloed teams, misaligned priorities, outdated governance, and unclear strategic value. The blog outlines six core challenges—stakeholder engagement, tool selection, IT-business integration, security compliance, operational balance, and sustaining innovation—and offers a proactive roadmap: embrace a “fail fast, learn fast” mindset; align product roadmaps with enterprise architecture; build shared, modular platforms; and adopt agile governance supported by orchestration tooling.
Team Calibo, June 18, 2025
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Davos 2026: Why AI Adoption Still Falls Short and What Truly Drives Enterprise Scale
By Raj Vattikuti, Chairman and Founder, Calibo TL;DR: Enterprises don’t lack AI ambition or experimentation. They lack a trusted, practical path from experimentation to production. AI scales when businesses can experiment safely in a governed sandbox, deliver bite-sized use cases, and move proven intelligence into production in an automated way—with trust and governance built in. Key takeaways As global leaders…
From use case chaos to control: Digital innovation framework and governance in Calibo
Most CIOs don’t struggle to generate ideas—struggle to prioritize them. This blog explains how structured governance and approval workflows—anchored in Calibo’s Digital Innovation Framework—bring order by standardizing evaluation, embedding controls, and aligning stakeholders. The outcome is a transparent, repeatable innovation pipeline that helps enterprises move faster, reduce risk, and focus investment on what matters most.
Why POCs Stall & the Real Causes of Slow Progress
Great ideas often get stuck in pilot. From unclear success metrics to weak data foundations and missing ownership, here’s why POCs stall—and what it takes to fast-track them into production.
From AI Pilots to AI Products: Why So Many AI Pilots Stall
Most AI pilots “work”… until they have to work with everything else. The model looks great in a notebook; then it collides with data quality, access controls, identity, environments, approvals, SLAs, and somebody’s quarter-end release freeze. This is the POC graveyard: where clever prototypes go to wait for a platform that never arrives, or for…
Fast-tracking data initiatives from prototype to production – Part 1
Summary This blog will go through four core solutions for scalable innovation. Most data and AI pilots end up in the “POC graveyard,” never scaling to production or delivering ROI. The problem isn’t the technology—it’s the lack of strategy, data readiness, ownership, and focus. Common pitfalls include unclear success metrics, poor-quality data, scattered pilots, and…
From data to action: Native Snowpark and dbt integration in Calibo
Modern data pipelines often involve a patchwork of tools and handoffs – data ingested from multiple sources, transformed, and delivered to business applications.
