2024 Practice Guide: Selecting Cloud AI Services 

Why Read This Research

As the AI landscape evolves, it is crucial for higher education technology leaders to understand the differences between vendor solutions. This guide helps institutional leaders make informed technology decisions by exploring the key considerations and differentiators among cloud AI services.

Key Questions Answered

• How suitable are the available cloud AI services for higher education, and what should institutions consider when investing in them?
• What differentiates AI cloud services on the market?
• How can cloud AI services impact critical outcomes across your institution?

Features

• Vendor in Focus: Alteryx, Amazon Web Services, Databricks Inc, Dataiku, DataRobot, Domino Data Lab, Google, H2O.ai, IBM, Microsoft, Oracle Corporation, Snowflake Inc
• Software Category in Focus: AI/ML Platforms; Business Intelligence/Analytics
• Author: Alpha Hamadou Ibrahim, PhD, Senior Analyst and Lead Data Scientist, and Trevor Skelton, Analyst and Junior Data Scientist, Tambellini Group
• Research Availability: September 2024

Table of Contents

1. Executive Summary
2. Practice Landscape
3. Practice Trends
4. Practice Recommendations