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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guides for technology-led innovation, but they often struggle with obstacles like siloed teams, misaligned priorities, outdated governance, and unclear strategic value.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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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
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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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Measuring success in data: KPIs and continuous improvement
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Measuring success in data: KPIs and continuous improvement 

Summary In data-driven initiatives, success hinges on establishing clear KPIs: measuring areas like customer satisfaction (e.g., NPS, retention), operational efficiency (e.g., data accuracy, processing speed), engineering performance (via DORA metrics), and financial impact (e.g., cost savings, revenue growth).  Platforms like Calibo enable organizations to set baseline metrics early, facilitating effective progress tracking.  Paired with continuous…

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