News & Insights
The Future of Customer Service
Jaid is at the forefront of the Artificial Intelligence revolution, harnessing the power of AI to redefine customer experiences.
Read moreK is for Knowledge Representation
Knowledge representation is the process of structuring data in a way that makes sense to an AI. The purpose of the process is to enable the AI to acquire knowledge from that data, and to use this knowledge to solve problems, make decisions, or take some other type of action.
Read moreRevolutionizing Financial Services with AI-Driven Communication Management
The diverse ways in which we communicate have always posed a challenge to corporate systems that thrive on structured data. Jaid bridges this gap with finesse, ensuring efficient and effective communication across all channels.
Read moreJ is for Jupyter Notebooks
Jupyter notebooks are a collection of documents containing live code, written explanations, equations, and visualizations. The information is stored in an interactive, open-source, browser-based environment, and made available to scientists and engineers working on various AI projects.
Read moreI is for Incremental Learning
Incremental learning is a machine learning method in which AI is trained in stages. It enables AI to acquire more information and master skills over time.
Read moreJaid welcomes visionary new Chief Experience Officer to elevate client experience
Jaid, a dynamic leader in AI as a service, focused on revolutionizing customer service automation, is proud to announce the appointment of Lauren Hayes as its new Chief Experience Officer (CXO).
Read moreH is for Hyperautomation
As the name suggests, hyperautomation is automation taken to the next level. Where regular automation removes or reduces the need for humans to be involved in specific tasks, hyperautomation uses AI, machine learning, and other advanced technologies to automate entire processes.
Read moreG is for GPT
GPT — Generative Pre-Trained Transformer — is a language model that can interpret text, understand its context, and formulate natural-sounding, human-like responses.
Read moreF is for F1 Score
An F1 score — also known as F-score or F-measure — measures a machine learning model's accuracy. It's made up of two key elements: precision and recall.
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