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How to Build a SaaS Platform

The Product Coalition

Businesses and individuals are increasingly making SaaS (Software-as-a-Service) applications their choice software platform for their business needs. The increasing popularity of cloud computing indicates that the importance of SaaS will only increase in the future. billion by 2026. billion in 2020 to $307.3

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Developing Custom Healthcare SaaS Application: A Complete Guide

Arkenea

Key Takeaways Healthcare SaaS market is expected to increase due to the adoption of technology such as AI, API connections, vertical SaaS, DaaS, PaaS, edge computing, and more. Beta testing is an essential part of developing your healthcare SaaS product and helps you receive valuable feedback from users.

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Unlocking Efficiency: Harnessing the Power of Generative AI in Business Operations

The Product Coalition

Imagine a tool that not only automates tasks but also learns, adapts, and innovates — genAI development company, a technology that is already capturing significant attention. Generative AI, driven by advanced machine learning techniques, is poised to transform business operations across diverse industries.

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EHR Interoperability: In-Depth Guide (2025 updated)

Arkenea

But what about when these EHR systems need to ‘talk’ to one another? Simply put, it’s the capability of different EHR systems to share, interpret, and collaboratively use data across various healthcare environments. the message format standards) where healthcare data is uniformly moved from one system to another.

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Is product development a competitive sport inside your company?

People-First Product Leadership

best practices for user research, difference between leading and lagging metrics, etc). Ideally no pre-work is required to ensure the “hour of learning” does not create an additional burden on the product team (except for the presenter who must prepare). In Tetris, you can never beat the system.

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Beyond Blue Links: ChatGPT Search

UX Planet

That interface made sense when bandwidth was precious and language models didnt exist. In 2025, it already feels anachronistic: I ask a question, a large-language model understands it, fetches real-time evidence, and hands me the answer all inside the same chat where Im writing code, outlining a deck, or brainstorming copy.

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