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How Calibo’s IDP helps you to deploy an OpenAI Chat Bot

Learn how to deploy an OpenAI Chat Bot using Calibo to streamline your development process across multiple platforms.

Octavio Martin, August 7, 2024

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5 emerging data management trends to follow
Blog

5 emerging data management trends to follow for 2025 [Part 1] 

Explore the data management trends 2025 and discover how organizations can adapt to evolving data challenges and complexity.

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Streamline AWS resource deployment with Calibo's Terraform integration
Blog

How to streamline AWS resource deployment with Calibo: a step-by-step guide

We'll guide you through AWS resource deployment, setting up custom resources on AWS using Terraform within the Calibo platform.

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How Calibo IDP helps you to deploy your own LLM model
Blog

How Calibo’s IDP helps you to deploy your own large language model (LLM)

Here, we’ll walk you through the steps to deploy your own large language model and create a React web app and a chatbot widget.

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What’s the future of data mesh and data fabric? [7 predictions] 

Explore the future of data mesh and data fabric. Discover their impact on data architecture and the big data landscape.

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marko-brecic
Blog

We crush 5 more myths about platform engineering [Part 2] 

Uncover the truths behind the myths about platform engineering and learn how to create effective solutions for your organization.

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Blog

The top 3 indicators you need a data fabric 

A data fabric brings together fragmented data sources—whether on‑premise, cloud, or edge—into a unified, governed layer that enables real-time analytics and self‑service access for business users. You likely need one if you face pervasive bottlenecks like overwhelmed data teams, inconsistent reporting, or sluggish preparation workflows. By deploying a data fabric, you can eliminate silos, deliver timely and accurate insights through a centralized access layer, and maintain compliance with built-in lineage, anonymization, and access control. Action points: evaluate where your organization experiences delays or friction in data access, explore data fabric solutions that offer virtualization, metadata management, and governance, and pilot a use case—such as providing analysts with self‑service dashboards—to test real-time delivery and impact.

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