The goal of templating during the initiative definition process is to transform the software definition process from a chaotic to effective| Apiumhub
This article is based on the scenario presented in our article ‘User Story Splitting'. If you didn’t have the chance yet to take a look at it, we encourage you to do it before continue with this article’s reading.| Apiumhub
In this article I would like to share my experience as a Product Owner supporting one of Apiumhub's smallest teams. When I joined, the team was formed by:| Apiumhub
The aim of the User Story, which is to articulate how a piece of work will deliver a particular value back to the end-user, also represents the conjunction ring between the user benefits, technical people and business in term of expected market outcome.| Apiumhub
But when working with AI KPIs take on a new dimension. AI KPIs are not only about business results but also about monitoring AI model accuracy, AI model| Apiumhub
This article examines various types of technical improvements, explains how to communicate their business value, and outlines methods for measuring their impact| Apiumhub
Let’s dive deeper into the real risks of ChatGPT - what companies face when employees unknowingly hand over proprietary information.| Apiumhub
A RAG system combines an information retrieval engine (e.g., a search or vector database) with a generative LLM.| Apiumhub
Yet, many enterprises unknowingly expose their data to AI models like ChatGPT. If your organization does not provide a private AI tool, chances are that| Apiumhub
Among the many concerns humans have about artificial intelligence, AI bias stands out as one of the most significant.| Apiumhub
Prompt engineering is the art and science of crafting effective inputs to communicate with a Large Language Model (LLM).| Apiumhub
RAG allows you to input your data and get accurate, contextually relevant answers based entirely on the information you provide.| Apiumhub