Yup, it's not a typo, Artificial Intelligence and Machine Learning are actually different. As this isn't a computer science lecture, we're not going to explain all the ways they are different just bear in mind that Machine Learning is a part of Artificial Intelligence 👌

Overview

So here in Spotix we do our very best to make our products as consumer friendly as possible and doing this goes beyond our fancy UI, with a team of developers with a uniform mindset of growth and development, we at Spotix will employ various means to ensure from making an event to booking and everything in between is hassle free and self explanatory.

In view of this, we have employed two technologies that have been here for a pretty while, Artificial Intelligence and Machine learning and as of the current version 1.0.0 we have three main use cases:

01.

Customer Service (AI)

As the product rolls out, you would be seeing traces of Artificially trained models that will be providing responses to some of the queries you might have about Spotix.

02.

Event Creation (ML)

With the event bookers in mind, we decided to implement a feature that basically allows event planners to worry less about creating descriptions. We have a model in the platform that you can work with to make captivating event descriptions for your event.

03.

User Assistant for Events (ML)

One thing that makes us different is how in our little way we carry everyone along. Users can now ask a machine model who has learned about an event, questions about that event and it will provide answers 😁

More use cases...

Aside from the applications we have here, we have set working plans to introduce AI and ML in other sectors of Spotix as we increase such as:

Interest Aggregation

Using Machine learning, we would create a system where users interaction with Spotix will be monitored and these interactions will be used to recommend events tailored to the type of events you have gone or the ones you usually view.

Advanced Fraud Detection

We want to leverage Artificial Intelligence to ensure that tickets are gotten from legitimate and validated payments and also ensure that there's more security in verifying tickets.

Enhanced Booker Insights

The fact remains that a chunk of the success of the platform is on the satisfaction of the Booker. We want to leverage AI and ML to create better insights for Bookers such as advanced price regulation where AI suggests prices based on user interaction and when to create discounts.

From our Legal Affiliates

Just a bunch of things that the legal people say we have to say to you guys about using the AI and ML features we have here.

Privacy: The platform is very secure however the interactions you have with the AI and ML agents on the platform WILL be used in training the models how to properly answer questions.
Accuracy: While the models are trained using data we provide, there's still a fair chance for some inconsistencies in the replies and we are not liable if you ask the model questions of things that aren't concerned with Spotix or our products.
Limits: One of the models that will be used was actually developed within Spotix and we incur all the expenses therein. With that in mind, we wouldn't want our API and servers to get screwed and worked up so there's going to be limits with how you interact with the models.
Denial of Access: Sometimes the models can deny to cooperate with your request if your request isn't in tune with what it's trained for
Ban: Spotix PLC is a member of both Open AI and Google AI Affiliate Unit. This means if we ban you from using AI on Spotix (yes it's possible to get banned from JUST AI) You may experience the same ban on ChatGPT and Gemini.

About

At Spotix PLC, we’re not just another SaaS platform; we’re the ultimate matchmaking service for events!

AI & ML in Spotix