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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guides for technology-led innovation, but they often struggle with obstacles like siloed teams, misaligned priorities, outdated governance, and unclear strategic value.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.

Agi Marx, June 18, 2025

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From AI Pilots to AI Products: Why So Many AI Pilots Stall

Explore the challenges of AI pilots and how teams like NatureSweet achieved production impact from clever prototypes.

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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…

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Implementing cloud guardrails without slowing down delivery – Part 2

Implementing cloud guardrails requires a combination of process changes and enabling technology. Here are some best practices to ensure your guardrails truly empower teams rather than hinder them.

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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.

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Implementing cloud guardrails without slowing down delivery – Part 1

Enterprises can build cloud platforms quickly and safely by embedding automated “guardrails” – predefined security, compliance, and governance checks – into every step of cloud development.

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Data orchestration: why modern enterprises need a data orchestration platform

Data is pouring in from myriad sources—cloud applications, IoT sensors, customer interactions, legacy databases—yet without proper coordination, much of it remains untapped potential. This is where data orchestration comes in.

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Highlighted posts

How Enterprise Architects can get more support for technology led innovation

From AI Pilots to AI Products: Why So Many AI Pilots Stall

Fast-tracking data initiatives from prototype to production – Part 1

Implementing cloud guardrails without slowing down delivery – Part 2

From data to action: Native Snowpark and dbt integration in Calibo

Implementing cloud guardrails without slowing down delivery – Part 1

Data orchestration: why modern enterprises need a data orchestration platform

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