Data and Analytics News — Ei Square®

Alessandra Prelicz

Build AI Agent for EdTech: Your Step-by-Step Guide

Build AI Agent for EdTech: Your Step-by-Step Guide

This blog post provides a comprehensive, step-by-step guide for developing your own AI agent in the education domain. Whether your vision is to create a cutting-edge virtual tutor, an efficient automated grading assistant, or a dynamic student engagement chatbot, the general steps outlined below will provide a clear framework to structure your project and navigate the development process.

Share

Using data to get closer to your customers: A guide for business success

Using data to get closer to your customers: A guide for business success

Building strong customer relationships is all about understanding their needs—even when you can’t meet face-to-face. Data is the key to unlocking those insights. From collecting the right information to personalising experiences and responding to feedback, this blog explores how businesses can use data to create meaningful connections and foster long-term loyalty.

Share

Azure Cognitive Services in Education: How AI is Shaping the Future of Learning

Azure Cognitive Services in Education: How AI is Shaping the Future of Learning

The education landscape is undergoing a revolutionary shift with the emergence of Artificial Intelligence (AI). No longer a futuristic concept, AI is actively transforming how we manage and deliver education. From streamlining administrative tasks to empowering personalised learning experiences, AI is proving to be a game-changer.

This blog delves into the top 5 Azure Cognitive Services that are redefining education.

Share

A guide to effective vendor management

A guide to effective vendor management

Back in the day, people didn’t really pay much attention to vendor management. They saw it as just another boring admin task. But, times have changed. Now, with businesses relying on suppliers more than ever, good vendor management is a total game-changer.

Share

Utilise IoT data for predictive maintenance

Utilise IoT data for predictive maintenance

Imagine a world where machines can predict their own breakdowns and factories can optimize their operations in real-time. This is the Industrial Internet of Things (IIoT), and Azure is just the operator to unleash it. Combining Azure Data Lake Store (ADLS), Data Factory (ADF) and Databricks with a powerful alerting tool creates an end-to-end solution for near real-time processing of the incoming data and proactive maintenance when errors occur.

Share