Eventsforce headquartered in London offers their suite of event software, including a web-based registration tool Eventsforce Registration, Eventsforce Abstract for submissions management of abstracts and papers, and Eventsforce Awards for end-to-end management of award entries, submissions, and events.
I would highly recommend Azure machine learning design for those with less access to high-end computing infrastructure, as using Azure saves a lot of time, money, and effort by providing a hustle-free platform that is easy to use and train your employees on. On the other hand, if you are looking for complete control of the machine learning model you create and would like to add detailed functionalities and try different algorithms, then Azure is less suitable here as it’s very high level.
An event which consist of collecting attendees details to post event analysis can use this product. If you are organizing both public and private events, eventsforce will be great solution. Eventsforce is also a great solution for big events that consist of different sessions that need different registrations, volunteers etc. It is a great solution considering the time it could save in event planning.
It’s fierce competition, but Azure as a Microsoft product is more stable and performs better than Amazon AWS since all of our machines are built on Microsoft Operating systems. Azure provides a pay-per-minute service, unlike AWS, which provides a pay-per-hour service. Azure allows direct linking to exist cloud storage that we already use at our institution, such as OneDrive. Azure has a friendly and easy-to-use interface that staff and students are already used to working with other Microsoft products.
